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<h3>Job Description</h3>
Job Description
General Summary
The Manufacturing Education Cooperative may operate across a variety of areas, or specialize, in manufacturing and semiconductor assembly in support of the company’s products. Areas include, but are not limited to, assembly/process engineering, package engineering, wafer fab integration engineering, product engineering, test engineering, failure analysis, design engineering, quality engineering and reliability engineering. This role is entry-level targeting co-op candidates for a future in semiconductor fabrication. 
Responsibilities
<ul>
<li>Utilize computer-based manufacturing systems to record data</li>
<li>Analyze/process data pursuant to project goals</li>
<li>Organize documentation and department records</li>
<li>Perform computer-aided design, process-flow, manufacturing setup, and other applicable software support</li>
<li>Adjust, calibrate, align, or modify equipment and record effects on unit performance</li>
<li>Complete paperwork associated with testing and troubleshooting</li>
<li>Follow defined specifications and reaction paths in the basic operation of equipment</li>
<li>Execute instructions and perform experiments to improve performance</li>
<li>Summarize learnings and provide verbal and written reports of results to stakeholders</li>
<li>Maintain a well-organized and audit ready work areas</li>
<li>Apply 6S, Six-Sigma, and LEAN concepts to practice</li>
</ul>
 Unit Specific Responsibilities and Duties
<ul>
<li>Failure Analysis
<ol>
<li>Understand and safely use physical, chemical, and electrical concepts surrounding semiconductor function and manufacturing</li>
<li>Carry out analytical processes such as electrical verifications, chemical and physical de-processing, performing cross-sections, etc</li>
<li>Conduct optical and scanning electron microscopy (SEM) on samples</li>
</ol>
</li>
<li>Assembly Engineering
<ol>
<li>Tasks related to semiconductor assembly engineering</li>
</ol>
</li>
<li>Packaging Engineering
<ol>
<li>Tasks related to AutoCAD semiconductor assembly drawings and packaging</li>
</ol>
</li>
<li>Automation &amp; Innovation
<ol>
<li>Tasks related to the automation of RE assembly processes</li>
<li>Knowledge or interest in software coding and computer science helpful</li>
</ol>
</li>
<li>Planning or Project Management
<ol>
<li>Tasks related to workflow planning and organization</li>
<li>Knowledge or interest in Python and Power BI helpful</li>
</ol>
</li>
<li>Reliability
<ol>
<li>Operate various environmental stress and reliability test equipment </li>
<li>Record the results of a variety of environmental and mechanical sequence tests.</li>
</ol>
</li>
<li>Archives
<ol>
<li>Create traceability coding and renaming, data packs, and digitization to support the business</li>
</ol>
</li>
</ul>
Qualificaitions
<ul>
<li>An in-progress high school diploma is required</li>
<li>The successful candidate should be interested in math, science, engineering, and/or semiconductor assembly, or a related field. </li>
<li>Work with statistical methods or Statistical Process Control charts helpful, but not required</li>
<li>Able to read, understand, and execute Standard Operating Procedures</li>
<li>Skills
<ol>
<li>Basic computer skills</li>
<li>Ability to communicate verbally</li>
<li>Pay close attention to detail</li>
</ol>
</li>
<li>As a Rochester employee, it is expected that the individual represents, supports, and encourages the Rochester culture by adherence to work policies and practices set forth within the company</li>
</ul>

Educational Cooperative

<h3>Job Description</h3>
Job Description Motional is seeking a technical expert for its Planning team to define motion planning and control systems for secure, effective, and comfortable fleet operation in complex environments. This role requires expertise in cutting-edge research, advanced algorithm development, and robust software building to generate safe, comfortable, and intuitive routes and motions. We are looking for a robotics and software development enthusiast eager to contribute to production-ready autonomous vehicles. If you possess a passion for autonomous driving, thrive on solving real-world challenges, and aspire to make a significant impact in a rapidly evolving field, we encourage your application.Role responsibilities:
<ul>
<li>Lead the research and development of novel algorithms and sub-systems for motion planning in autonomous driving, thereby expanding the Operational Design Domain. This includes, but is not limited to, advanced search-based and sophisticated geometry-based methods, as well as decision-making under uncertainty with a strong emphasis on probabilistic approaches</li>
<li>Lead cross-functional projects to define new or upgrade existing interfaces to solve problems</li>
<li>Monitor overall system performance to identify areas for improvement and develop technical strategies to address deficiencies</li>
<li>Guide cross-functional project teams to provide comprehensive solutions and demonstrate the ability to think beyond the confines of the planning system.</li>
<li>Architect and integrate complex combinations of motion planning and prediction algorithms, driving their evaluation and refinement for real-world deployment.</li>
<li>Design and build a robust, scalable, and high-performance codebase that facilitates rapid exploration, prototyping, and rigorous evaluation of innovative motion planning approaches and algorithms.</li>
<li>Drive technical collaboration and interface seamlessly with perception and prediction components upstream and trajectory optimization, tracking and control components downstream, ensuring end-to-end system performance.</li>
<li>Leverage your deep software development and research expertise to teach others better software practices and principles, fostering a culture of technical excellence.</li>
<li>Guide and mentor junior and senior team members, cultivating a culture of product-focused engineering, rigorous research, and advanced development.</li>
</ul>
What we're looking for:
<ul>
<li>PhD preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field; or a Master's degree with 7+ years of experience in the robotics (preferably AV industry).</li>
<li>10+ years of research experience in robotics / motion planning, with a proven track record of contributing to state-of-the-art solutions and leading significant projects.</li>
<li>5+ years of C++ software development, with an emphasis on developing high-performance and reliable systems.</li>
<li>Past experience owning and leading technical development on complex features from problem formulation through research, implementation, and deployment in a production environment, demonstrating significant impact.</li>
<li>Thirst for knowledge, continuous innovation, and a drive to push the boundaries of autonomous driving technology, acting as a technical thought leader.</li>
</ul>
Skills appreciated
<ul>
<li>Experience with probabilistic models, including but not limited to Gaussian mixture models, Hidden Markov Models, and Particle Filters.</li>
<li>Experience with machine learning techniques (such as Bayesian modeling and inference techniques) for decision making under uncertainty.</li>
<li>Experience with the Bazel build framework</li>
</ul>
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 
Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. 
Salary Range$212,000—$283,975 USD
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. 
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit <a href="http://www.Motional.com" target="_blank">www.Motional.com</a> and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Principal Motion Planning Engineer

<h3>Job Description</h3>
Job Description
C Squared Systems, LLC is an RF engineering, consulting, and software development company specializing in providing services for seamless wireless coverage from RF analysis to design and implementation of DAS systems and Wi-Fi networks to remote monitoring and management of complex multi-vendor environments. Site Portal®, a customizable Web-based software, was engineered by C Squared Systems to remotely monitor and manage these complex multi-vendor environments.
 Since 1999, C Squared Systems has executed turnkey in-building wireless solutions using state-of-the-art analysis tools to deliver RF solutions that exceed project scope and customer expectations. Our experience, technical expertise, and diverse projects in the wireless realm have allowed C Squared Systems to continually evolve as new technologies are developed and the demands of our customers change. 
Location: Auburn NH
Level: Mid-level
C Squared Systems is currently seeking a mid-level RF Field Technician to join our team. One of the main responsibilities for the Field Technician will be assisting with the installation and construction of various distributed antennas systems. The candidate will also become familiar with RF concepts and best practices and be exposed to a variety of test equipment. The successful candidate will become an integral part of a team to ensure the systems are installed per the procedures and regulations mandated by the customer. The candidate must have previous construction experience and be very comfortable interacting with customers and co-workers on a daily basis. This is a hands-on position that requires the candidate to be on their feet throughout the day. This position will require the individual to be in the field 95% of the time. The candidate must be available to travel with potential overnight stays up to 50% of the time and be available for night shifts/weekends when needed. This is a full time hourly position. 
Primary Responsibilities
<ul>
<li>Installation of various coaxial cable types of various sizes (1/2”, 1/4”, 7/8”, etc.).</li>
<li>Installation of various fiber cables and fiber heads (single/multi-mode, LC, SC, FC, ST, etc.).</li>
<li>Perform cable terminations and fusion splicing.</li>
<li>Perform a variety of testing such as sweep and PIM.</li>
<li>Work hands on with spectrum analyzers, transmitters, and other electronic test equipment.</li>
<li>Perform site surveys and in-depth walkthroughs.</li>
<li>Installation and repair of various DAS equipment from a variety of manufacturers.</li>
<li>Maintain test equipment and tools for continuous use.</li>
<li>Travel to various job sites.</li>
</ul>
Requirements
<ul>
<li>2 year college degree or related coursework a plus.</li>
<li>3 to 4 years of construction experience. Previous experience with DAS construction and other cellular systems is preferred.</li>
<li>General construction knowledge and know-how. Existing OSHA certifications are a plus.</li>
<li>Ability to read and interpret cabling diagrams and construction drawings.</li>
<li>Proficient with using various tools such as drills, saws, torque wrenches, crimpers, etc.</li>
<li>High attention to detail and excellent ability to multi-task is crucial.</li>
<li>Has the desire to learn and advance within a technical field.</li>
<li>Proficient with using standard computer applications (Outlook, Word, Excel, etc.).</li>
<li>Comfortable working in the field and have availability for nights/weekends.</li>
<li>Must have a valid driver’s license with reliable transportation.</li>
</ul>

RF Field Technician

<h3>Job Description</h3>
Job Description
Position Overview
As a senior electrochemical engineer at BlueShift, you will lead the development and scaling of electrochemical technology for carbon capture and critical mineral extraction applications. Your expertise will drive the development of cost-effective, scalable solutions that advance BlueShift's mission to accelerate economic resilience by unlocking underutilized resources.
Responsibilities
<ul>
<li>Lead the design, build, testing, validation, and optimization of flow electrochemical setups</li>
<li>Characterize the cell performance using the appropriate combination of electrochemical and measurements and surface characterization approaches</li>
<li>Model the electrochemical cell using a combination of first principles and hybrid modeling approaches</li>
<li>Develop scaling rules and stack configurations for pilot and commercial scale units based on experimental data, modeling results, and technoeconomic assessments</li>
<li>Collaborate externally with vendors, contractors, and design firms</li>
<li>Mentor and train junior engineers; prepare technical documentation for internal and external stakeholders; collaborate internally with the team for continuous process improvement</li>
<li>Stay at the forefront of emerging technologies and best practices in electrochemistry, carbon capture, and mineral extraction for idea generation and continuous improvement</li>
</ul>
 Qualifications
<ul>
<li>Advanced degree in chemical engineering, chemistry, mechanical engineering, electrochemical engineering, or a related field</li>
<li>3+ years of experience in developing and scaling (a big plus) flow electrochemical technologies</li>
<li>Strong fundamental understanding of reaction engineering, thermodynamics, and transport phenomena</li>
<li>Experience in flow cell design, assembly, and operation (zero gap and non-zero gap) as well as integration with the balance of plant</li>
<li>Experience with electrochemical characterization techniques (e.g., CV, EIS, Polarization curves) and physicochemical characterization techniques (e.g., ICP, XRF)</li>
<li>Experience with accelerated stress testing and durability enhancement of the electrode</li>
<li>Experience working with external design, contracting, and engineering firms</li>
<li>Strong sense of ownership and problem-solving skills, the ability to learn new concepts quickly and make data-driven decisions, and an innovative and entrepreneurial spirit</li>
<li>Excellent communication and interpersonal skills, with a track record of collaboration across disciplines</li>
<li>Ability to travel to pilot sites and partner facilities as needed</li>
</ul>
 What We Offer
<ul>
<li>Competitive salary and equity incentives</li>
<li>Opportunity to lead the development of breakthrough technologies that tackle national security, climate change, and industrial decarbonization</li>
<li>Fast-paced, mission-driven environment with high-growth potential</li>
<li>Collaborative and supportive team, dedicated to innovation and sustainability</li>
<li>Professional development and career growth opportunities</li>
</ul>

Electrochemical Engineer

<h3>Job Description</h3>
Join our team of more than 34,000 team members, supporting our members and communities in our Club Support Center, 235+ clubs and eight distribution centers. BJ’s Wholesale Club offers a collaborative and inclusive environment where all team members can learn, grow and be their authentic selves. Together, we’re committed to providing outstanding service and convenience to our members, helping them save on the products and services they need for their families and homes. 
The Benefits of working at BJ’s
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; BJ’s pays weekly
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Eligible for free BJ's Inner Circle and Supplemental membership(s)*
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Generous time off programs to support busy lifestyles*&nbsp;
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; o Vacation, Personal, Holiday, Sick, Bereavement Leave, Jury Duty
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Benefit plans for your changing needs*
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; o Three medical plans**, Health Savings&nbsp; Account (HSA), two dental plans, vision plan, flexible spending ​
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 401(k) plan with company match (must be at least 18 years old)
*eligibility requirements vary by position
**medical plans vary by location
Who You Are:&nbsp;
<ul>
<li>Experienced in supporting and configuring warehouse automation software systems, particularly Swisslog SynQ and related MHE platforms.&nbsp;</li>
<li>Strong understanding of material handling system (MHE) software, including WES/WCS integration, PLC controls, and real-time decision logic.&nbsp;</li>
<li>Skilled in designing, configuring, testing, and maintaining complex MHE software environments within distribution centers.&nbsp;</li>
<li>Adept at troubleshooting issues across multiple layers of automation software and hardware integration.&nbsp;</li>
<li>Effective at collaborating with operations, engineering, IT, and third-party vendors to ensure optimal system performance.&nbsp;</li>
<li>Demonstrated ability to own technical systems, drive system improvements, and provide thought leadership for automation software solutions.&nbsp;</li>
<li>Subject Matter Expert (SME) for Swisslog SynQ software within the MHE ecosystem.&nbsp;</li>
</ul>
Role Overview:&nbsp;
As the Technical Engineer for the MHE Software Systems, you will own the design, configuration, and testing of the MHE software platform across BJ’s automated distribution centers. You will provide technical expertise for MHE software including integration with WMS and PLC-controlled equipment.&nbsp;
This role will ensure high system availability, efficient error handling, and seamless automation flows across the fulfillment network. You will collaborate closely with MHE Vendor, internal IT, engineering, and operations teams to drive long-term reliability and scalability of MHE software platforms.&nbsp;
Key Responsibilities:&nbsp;
<ul>
<li>Design and configure MHE software workflows, material routing logic, task orchestration rules, and exception handling protocols.&nbsp;</li>
<li>Collaborate with WMS, and controls teams to ensure seamless end-to-end automation flow and data alignment.&nbsp;</li>
<li>Act as the SME for MHE software platform configuration, change control, versioning, and real-time performance monitoring.&nbsp;</li>
<li>Troubleshoot MHE software issues related to logic faults, data mismatches, communication drops, and throughput delays.&nbsp;</li>
<li>Lead or participate in Factory Acceptance Testing (FAT), Site Acceptance Testing (SAT), and go-live validation for automation projects.&nbsp;</li>
<li>Maintain and enhance interface communication between MHE software and upstream/downstream systems including WMS and PLCs.&nbsp;</li>
<li>Partner with MHE vendor to identify software patches, configuration tuning opportunities, and version upgrade requirements.&nbsp;</li>
<li>Define system KPIs and develop dashboards or tools to monitor automation performance and responsiveness.&nbsp;</li>
<li>Contribute to documentation for integration specifications, error recovery procedures, and software configuration standards.&nbsp;</li>
<li>Support user training, escalation resolution, and post-go-live system stabilization activities.&nbsp;</li>
</ul>
Requirements:&nbsp;
<ul>
<li>Bachelor’s degree in engineering, Computer Science, Automation, or related technical field.&nbsp;</li>
<li>3+ years of experience with Swisslog SynQ or comparable warehouse automation software systems.&nbsp;</li>
<li>Hands-on experience configuring, testing, and supporting MHE platforms within high-volume distribution centers.&nbsp;</li>
<li>Familiarity with WES/WCS systems, PLC/SCADA, and integration with WMS platforms (e. g., Blue Yonder).&nbsp;</li>
<li>Experience analyzing system logs, executing root cause analysis, and implementing performance improvements.&nbsp;</li>
<li>Understanding of automation network protocols (OPC UA, TCP/IP) and controls layer communication.&nbsp;</li>
<li>Agile delivery experience and familiarity with ticketing systems such as Jira or ServiceNow is a plus.&nbsp;</li>
<li>Strong organizational skills, attention to detail, and effective time management in 24/7 operations.&nbsp;</li>
</ul>
Leadership Competencies:&nbsp;
<ul>
<li>Strategic thinker with a technical mindset, bringing value to automation initiatives across the network.&nbsp;</li>
<li>Operates as a technical influencer and SME, collaborating across Engineering, IT, and Operations teams.&nbsp;</li>
<li>Clear communicator with the ability to resolve complex system issues and guide teams through escalation.&nbsp;</li>
<li>Creates, documents, and continuously improves best practices for warehouse automation software platforms.&nbsp;</li>
<li>Serves as a key contributor to system reliability, automation scalability, and technology innovation at BJ’s.&nbsp;</li>
</ul>
This is a hybrid role. Tuesday through Thursday are in-office days at BJ's Club Support Center in Marlborough, MA and Monday and Friday are remote days.
 In accordance with the Pay Transparency requirements, the following represents a good faith estimate of the compensation range for this position. At BJ’s Wholesale Club, we carefully consider a wide range of non-discriminatory factors when determining salary. Actual salaries will vary depending on factors including but not limited to location, education, experience, and qualifications. The pay range for this position is starting from $125,500.00.

Lead IT DC Robotics AND Automation Engineer

<h3>Job Description</h3>
Job Description
About ATI:
We are a cutting-edge Series A company focused on revolutionizing the automotive robotics space. The team consists of experienced robotics, industrial automation, and automotive professionals with deep relationships and a distribution network across the U.S. We have strategic backing from long-term capital and the support to build something truly amazing. Come join our team and help us define the future of automotive robotics!
Position Overview:
We are seeking a Lead Data &amp; AI Engineer to spearhead the data, ML, and inference infrastructure for our next product line — “physical AI” systems combining robotics, vision, and intelligence at the edge. You’ll be a strategic technical leader and individual contributor, designing architectures, building core systems, and guiding a team that turns raw sensor and video data into robust, high-performance AI pipelines embedded in hardware.
Key Responsibilities:
<ul>
<li>Define the architecture for the entire data and AI platform — from ingestion and transformation to training, inference, and continuous feedback loops — powering a new generation of physical AI products.</li>
<li>Design and build full-stack data and ML pipelines: real-time and batch ingestion, feature engineering, model training and evaluation, inference services, and monitoring systems.</li>
<li>Lead the development of scalable streaming and batch data systems optimized for robotic and embedded environments, ensuring high throughput, low latency, and fault tolerance.</li>
<li>Establish strong data foundations — contracts, schema standards, validation, anomaly detection, lineage, and versioning — across all data sources (robotics, sensors, cameras, telemetry).</li>
<li>Integrate tightly with robotics, perception, and control systems, enabling real-time feedback loops, edge intelligence, and sensor fusion.</li>
<li>Implement robust observability: build dashboards, alerts, and metrics for pipeline performance, data drift, model health, and system reliability.</li>
<li>Collaborate cross-functionally with product, hardware, and CV teams to align technical decisions with product goals and user impact.</li>
<li>Hire, mentor, and grow a world-class team of data and ML engineers, set technical standards, and guide architectural decisions.</li>
<li>Shape the strategic roadmap for how ATI leverages data and AI to unlock new capabilities in robotics and physical intelligence.</li>
</ul>
Requirements
<ul>
<li>10+ years of experience across data infrastructure, ML systems, or AI engineering roles — with evidence of driving architecture and leading teams.</li>
<li>Deep expertise in building end-to-end data &amp; ML systems, from ingestion to production inference, particularly in real-time / streaming environments.</li>
<li>Strong software engineering background (Python, Scala, Java, or similar) and experience with data processing frameworks (Spark, Flink, Beam, etc.).</li>
<li>Experience in designing and building feature stores, model registries, or MLOps systems (e.g. MLflow, Feast, Tecton).</li>
<li>Hands-on with orchestration and pipeline tooling (Airflow, Dagster, Prefect), and experience scaling complex workflows.</li>
<li>Deep SQL &amp; database skills, data modeling, schema design, partitioning, and query optimization. Solid background in deploying and monitoring ML models — inference at scale, model drift, performance optimization.</li>
<li>Experience interacting with robotics, sensor, or computer vision data, and familiarity with edge / embedded constraints.</li>
<li>Experience with cloud infrastructure (AWS, GCP, Azure) and modern data ecosystems (data lakes, containers, serverless).</li>
<li>Excellent communication and collaboration skills; ability to translate technical constraints into product impact.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Background in robotics, autonomous systems, SLAM, 3D perception, or sensor fusion.</li>
<li>Experience deploying on embedded / constrained hardware (e.g., edge inference, GPU/TPU at the edge).</li>
<li>Familiarity with data lake frameworks (Delta Lake, Iceberg, Hudi).</li>
<li>Experience in closed-loop feedback systems, online learning, or real-time adaptation.</li>
<li>Prior experience in startup environments, building from scratch, and owning cross-functional scope.</li>
</ul>
Why Join Us?
<ul>
<li>Lead a mission-critical function at the intersection of AI, robotics, and vision — from day one.</li>
<li>Shape the architecture and engineering culture for a new product line with long-term impact.</li>
<li>Work with a world-class team where your technical leadership and decisions will have immediate effect.</li>
<li>Attractive compensation, equity, and benefits; and opportunity for career growth as your team and product scale.</li>
</ul>

Lead Data & AI Engineer, Physical Intelligence

<h3>Job Description</h3>
Job DescriptionCompany Description 
By working at Harvard University,&nbsp;you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
Why join Harvard Law School?
Join a community that combines excellence in legal education and scholarship with a deep commitment to justice. Here at Harvard Law School (HLS), you’ll find an environment that values who you are and encourages you to grow, inspire others, and make a meaningful impact. Wherever you are in your career journey, HLS is a place where you can thrive, contribute, and be part of something bigger.
Job Description 
The Institutional Data Initiative (IDI) is a new research center working to advance society’s relationship with knowledge by expanding access to, and deepening our understanding of, the data that underpins AI. By collaborating with library, government, and academic institutions to publish their knowledge collections as AI training sets, IDI seeks to 1) empower those institutions and the cultures they represent, 2) build a foundational pipeline for academic inquiry of AI, and 3) advance the state of the art for all builders of AI systems.&nbsp;
IDI’s work spans the AI data ecosystem—from digitization, data structuring, and metadata synthesis, to safety and security analysis, all the way through to benchmarking and the development of ethical and governance frameworks. Institutional collaboration forms the gateway to this work and IDI places a particular emphasis on opportunities with institutions that expand the cultural breadth of knowledge represented in the building blocks of AI.&nbsp;
At its core, IDI is a data practice around which other interdisciplinary work is convened. While theory and analysis are critical components of IDI’s work, our impact is a direct factor of our ability to ship novel data. As such, IDI’s workflows resemble those of a product studio. Our projects are time-bound and scopes are driven by ambition within time constraints. Our team structure is relatively flat and each member is expected to bring vision for their work and drive it through to completion. We prioritize interdisciplinary collaboration with academic contributors, both internal and external, as essential work that prevents the commodification of the data we help to publish.&nbsp;
The technical capabilities of our Principal Engineers define the depth of analysis and inquiry at IDI while developing and deploying repeatable methods and pipelines. The person in this role will have an ability to think creatively about extracting and manipulating data to unlock knowledge collections that have been stubbornly inaccessible, sometimes for centuries. Their understanding of machine learning and AI fundamentals will help identify areas of high impact and utilize models to facilitate this work. Each Principal Engineer must bring a unique set of skills and approaches to a team of engineers whose distinct capabilities complement the whole. This team works together to build an action plan for each corpus that takes it from uncharted territory to a well-defined map that others can traverse.&nbsp;&nbsp;
Beyond data, Principal Engineers also contribute to the building of community around IDI’s work to enable outside collaborators—fellow technologists, academics, students, cultural stakeholders—to expand our capabilities, capacity, and perspectives. IDI operates within Harvard and alongside the Library Innovation Lab, the Berkman Klein Center, and the Applied Social Media Lab; engaging these communities, among others, is critical to delivering on our mission.&nbsp; As a Principal Engineer, you will:&nbsp;
<ul>
<li>Develop, refine and evaluate methods for analyzing and augmenting corpora.&nbsp;</li>
<li>Research, train and evaluate machine learning models.&nbsp;</li>
<li>Research, adjust and evaluate natural language processing techniques.&nbsp;&nbsp;</li>
<li>Write and contribute to open-source software.&nbsp;&nbsp;</li>
<li>Conduct an ongoing technology and research watch in areas pertinent to IDI’s focus, including: generative AI, natural language processing, digital preservation and open knowledge.&nbsp;</li>
<li>Provide technical leadership and guidance to both your team members and your project peers.&nbsp;</li>
<li>Help build and lead development of multiple discrete projects at once.&nbsp;&nbsp;</li>
<li>Draft technical and scientific communications outlining datasets and novel methodologies developed in the course of your work.&nbsp;</li>
<li>Be a technological ambassador for the research center. Help build and engage with the broader academic and AI communities including the Harvard student population.&nbsp;</li>
<li>Engage with partners to both share our work and explore new opportunities.&nbsp;</li>
</ul>
Qualifications 
Basic Qualifications:
<ul>
<li>Minimum of seven years’ post-secondary education or relevant work experience</li>
</ul>
Additional Qualifications and Skills:
We are looking for people who have:&nbsp;
<ul>
<li>A desire to create public-interest impact on AI.&nbsp;</li>
<li>Deep understanding and experience designing, implementing, testing, and documenting data workflows.&nbsp;</li>
<li>Advanced working knowledge of machine learning and “AI” systems including local and open toolchains in addition to commercial offerings.&nbsp;</li>
<li>OCR and/or computer vision experience.&nbsp;</li>
<li>Strong grasp of at least one general purpose development technology (Python, Javascript, Lisp, …) and of every day development tools (IDEs, Git, dependencies management, Linux &amp; SSH, CI/CD, …)&nbsp;</li>
<li>Experience drafting technical or scientific communications to document and disseminate their work.&nbsp;&nbsp;</li>
<li>A track record of shipping complex projects, especially working independently or within early-stage companies and organizations.&nbsp;</li>
</ul>
Candidates need not have all of these qualifications to be promising, but all promising candidates will have a strong track record of shipping.
 Additional Information 
Travel is required for quarterly on-site meetings plus occasional travel for conferences and events as needed.&nbsp;&nbsp;
Given the multidisciplinary nature of our work, we encourage a short cover letter to explain how your career trajectory and interests align with our work and mission.&nbsp;
This position works a combination of on-campus and remote work based on business needs and manager approval. The opportunity for 100% remote work is available for applicants who live more than 50 miles from the Harvard Law School campus. All remote work must be performed within a state in which Harvard is registered to do business (CA, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT and WA).&nbsp;Candidates residing in other states are also encouraged to apply, though would become employees of a third-party external payroll company rather than Harvard University.&nbsp;&nbsp;
Term Appointment:&nbsp;This is a two-year term appointment with potential for renewal subject to funding and departmental need.&nbsp;&nbsp;
Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position
Pre-Employment Screening: Education, Identity
Other Information:
All offers to be made by HLS Human Resources
Work Format Details
This position is eligible for 100% remote work. Employees may work from any of the Harvard Registered Payroll States, which currently includes Massachusetts, Connecticut, Maine, New Hampshire, Rhode Island, Vermont, Georgia, Illinois, Maryland, New Jersey, New York, Virginia, Washington, and California (CA for exempt positions only). At the discretion of the hiring department, fully remote employees may occasionally be required on-site at a Harvard location. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.&nbsp;
Salary Grade and Ranges
This position is salary grade level 059. Please visit &nbsp;Harvard's Salary Ranges  to view the corresponding salary range and related information.&nbsp;
Benefits
Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:&nbsp;
<ul>
<li>Generous paid time off including parental leave&nbsp;</li>
<li>Medical, dental, and vision health insurance coverage starting on day one&nbsp;</li>
<li>Retirement plans with university contributions&nbsp;</li>
<li>Wellbeing and mental health resources&nbsp;</li>
<li>Support for families and caregivers&nbsp;</li>
<li>Professional development opportunities including tuition assistance and reimbursement&nbsp;</li>
<li>Commuter benefits, discounts and campus perks&nbsp;</li>
</ul>
Learn more about these and additional benefits on our Benefits &amp; Wellbeing Page.&nbsp;
EEO/Non-Discrimination Commitment Statement
Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.&nbsp;
Harvard has an equal employment opportunity policy that outlines our commitment to&nbsp;prohibiting discrimination on the basis of race, sex, ethnicity, color, national origin, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy. Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.&nbsp;

Principal Engineer

<h3>Job Description</h3>
Job Description
Mission:
We are seeking a highly skilled and motivated Principal Engineer, Technical Lead to lead our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and leadership, with experience in developing and deploying advanced data analysis and large scale orchestration frameworks.
At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. 
The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects &amp; long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI's. The team works together with all other perception and ML teams to develop the metrics and analyze results. 
What You'll Do: 
<ul>
<li>Lead a team of engineers with a diverse skill set to deliver critical software supporting the development of the autonomous vehicle ML models and software.</li>
<li>Drive innovation by researching and developing new large scale data warehousing and analysis.</li>
<li>Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.</li>
<li>Build high-quality datasets to improve ML products through training &amp; edge case validation.</li>
<li>Provide statistical depth on model performance &amp; generalization through rigorous error and change analysis.</li>
<li>Provide technical leadership and mentorship to the team, fostering a culture of collaboration and continuous improvement.</li>
<li>Manage project timelines, resources, and deliverables to ensure successful project execution.</li>
</ul>
What We're Looking For:
<ul>
<li>Bachelor's or Master's degree in Computer Science, Data Science, or a related field.</li>
<li>Excellent leadership, communication, and problem-solving skills.</li>
<li>Proven record leading a small diverse dedicated team supporting a large user base.</li>
<li>Experience in machine learning, data mining, and statistical analysis.</li>
<li>Proven experience in developing and deploying large scale cloud frameworks.</li>
<li>Strong programming skills in Python.</li>
<li>Experience with large-scale data processing and distributed computing technologies. </li>
</ul>
Bonus Points:
<ul>
<li>Ph.D. in Computer Science or a related field.</li>
<li>Experience with cloud platforms such as AWS, Google Cloud, or Azure.</li>
<li>Experience with machine learning in the autonomous driving domain.</li>
<li>Publications or contributions to the AI/ML community.</li>
</ul>
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 
Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. 
Salary Range$175,000—$234,250 USD
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. 
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit <a href="http://www.Motional.com" target="_blank">www.Motional.com</a> and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Principal Engineer, Data & ML Infrastructure

<h3>Job Description</h3>
Job Description
We are seeking an experienced Principal Hardware Power Engineer to lead the design and development of advanced hardware systems. This role focuses on power systems, thermal management, and system reliability for next-generation platforms, including edge servers, AI, and high-performance computing.
 
Key Responsibilities
 
<ul>
<li>Lead the evaluation, design, and implementation of hardware and power systems from concept to production.</li>
<li>Develop and manage power budgets across motherboards, systems, and rack-level AC supply components.</li>
<li>Review and evaluate power systems from vendors, including DC/DC converters, hot plug circuitry, and AC/DC CRPS supplies.</li>
<li>Conduct PCB design and layout reviews, including Cadence/Allegro and DC/DC power distribution analysis.</li>
<li>Support internal product development by writing specifications, reviewing proposals, and validating PCB/power integration.</li>
<li>Perform failure analysis and provide root cause support in collaboration with QA and contract manufacturers.</li>
<li>Execute power evaluations using lab instrumentation (oscilloscopes, data loggers, power meters, electronic loads).</li>
<li>Contribute to mechanical, thermal, safety, and EMC compliance design reviews.</li>
<li>Mentor junior engineers and collaborate with cross-functional teams to ensure design excellence.</li>
</ul>
 
Technologies &amp; Tools
 
<ul>
<li>Embedded power conversion for high-performance CPUs/GPUs.</li>
<li>Server architectures ranging from &lt;100W edge systems to 100KW rack-level solutions.</li>
<li>Operating systems: Linux, ESX, Windows.</li>
<li>Lab tools: oscilloscopes, power meters, data loggers, electronic loads.</li>
<li>Design tools: Cadence/Allegro, LTSpice, Mathcad/Prime, Excel.</li>
</ul>
 
Qualifications
 
<ul>
<li>Bachelor’s degree in Electrical Engineering or related discipline.</li>
<li>Extensive experience in power and circuit design, system integration, and complex hardware development.</li>
<li>Strong knowledge of high-power CPU/GPU power conversion and embedded power systems.</li>
<li>Hands-on experience with Cadence/Allegro, LTSpice, Mathcad/Prime, TINA-TI, or equivalent tools.</li>
<li>Familiarity with Intel power specifications, hot-swap circuits, and compliance requirements (safety, EMI, EMC).</li>
<li>Experience in server configuration, stress testing, and diagnostics across Linux, ESX, and Windows environments.</li>
<li>Knowledge of industry certifications and standards (UL62368, CE, NEC).</li>
<li>Strong leadership and collaboration skills with the ability to mentor and guide engineers.</li>
</ul>
 
Work Environment
 
<ul>
<li>Hybrid schedule with on-site collaboration expected several days per week.</li>
<li>Fast-paced, multi-project environment with global cross-functional teams.</li>
</ul>

Principal Power Hardware Engineer

<h3>Job Description</h3>
Job Description
Field Service Technician/ Desktop Support
<ul>
<li>Must have printer/plotter experience</li>
<li>Maintains, analyzes, troubleshoots, and repairs computer systems, hardware and computer peripherals.</li>
<li>Responsible for performing on-site servicing and repair of major OEM laptops, desktops, POS, and printers.</li>
<li>Familiarity of POS (Point of Sales) systems for Retail stores (Windows based registers)</li>
<li>Break/Fix at component level– Desktops; Laptops; printers</li>
<li>Documents, maintains, upgrades or replaces hardware and software systems.</li>
<li>Imaging and image recovery</li>
<li>Provides technical support in activities associated with the identification, prioritization and resolution of reported problems.</li>
<li>Install / Re-install various software packages and updates</li>
<li>Activities include recognition, research, isolation, resolution, and follow-up.</li>
<li>Must have a clean driving record – No open tickets or warrants – No major violations</li>
<li>Must have an active driver’s license</li>
<li>MUST HAVE OWN VEHICLE – Mileage/Parking/Tolls are reimburse</li>
</ul>
Company DescriptionWe are committed to delivering exceptional services and professionals with proven work ethics and processes. Provide an exceptional client experience Deliver on our commitments Build trust by thinking and acting with integrity Create an environment that inspires innovation 
<h3>Company Description</h3>
We are committed to delivering exceptional services and professionals with proven work ethics and processes.\r\nProvide an exceptional client experience\r\nDeliver on our commitments\r\nBuild trust by thinking and acting with integrity\r\nCreate an environment that inspires innovation

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