Mission Summary:

Motional’s onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional’s current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.

What You'll Be Doing:

• Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
• Design test harnesses for embedded software components and full systems
• Provide technical mentorship to engineers.
• Proactively work with cross-functional engineering teams to solve complex and interesting problems.
  
  

What We're Looking For:

• Experience with creating detailed requirements from use cases.
• Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
• Experience writing software for embedded platforms in C and C++.
• Experience with Test-Driven Development (TDD).
• Experience working on embedded Linux / RTOSs.
• Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
• Experience with debugging on embedded platforms.
• Experience writing software in Python and experience doing automation with shell scripting.
• Experience working with ARM Cortex MCUs or Microprocessors.
  
  

Bonus Points (not required):

• Experience working with large data pipelines, and platforms that require deterministic execution.
• Experience using inter-system communication protocols such as I2C and SPI
• Experience deploying Machine Learning models.
• Experience working with GPUs.
• Experience working directly with the Linux kernel or Device Drivers.
• Experience with Simulation and Code Generation, and knowing when their use is appropriate.
• Experience working with Bazel.
• Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
• Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. 
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

• Lead the design, development, and integration of complex electrical and mechanical systems for autonomous vehicles, ensuring they meet rigorous performance, safety, and reliability standards.
• Architect, analyze, and optimize vehicle electrical and networking systems (Automotive Ethernet, CAN) to enhance data throughput, fault tolerance, and system scalability.
• Spearhead the diagnosis and resolution of complex, intermittent system failures using advanced debugging tools (e.g., high-speed oscilloscopes, spectrum analyzers, logic analyzers) and sophisticated PC-based diagnostic and simulation software.
• Mentor junior engineers on best practices for system triage, troubleshooting, repair, and validation.
• Develop and execute comprehensive integration test plans for new vehicle features and subsystems, coordinating efforts across multiple engineering disciplines and external partners.
• Author and maintain high-level technical documentation for system architectures, design requirements, and validation procedures.
  
  

What we're looking for:

• Expert-level knowledge of vehicle electrical and networking systems (CAN, LIN, Ethernet, etc.) with a deep understanding of communication protocols and their limitations.
• Proven track record of success in root-cause analysis, systematic issue isolation, and resolution for complex hardware-software integration problems.
• Extensive experience with advanced Linux terminal troubleshooting, including scripting and low-level system diagnostics.
• Deep understanding of computer system architecture, including embedded systems, processing units, and networking hardware.
• Demonstrated ability to author and maintain highly technical documentation, including design specifications, test reports, and system validation plans.
• Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.
• Excellent communication and interpersonal skills to effectively lead cross-functional teams and collaborate with external suppliers and partners.
• Extensive experience with various sensors, including cameras, LiDAR, and RADAR, and an understanding of their integration challenges.
• Master's degree or equivalent in Electrical, Mechanical, or Systems Engineering, or 10+ years of relevant experience in a senior-level role.
  
  

Preferred, but not required:

• Professional proficiency in programming languages such as Python or C++ for scripting, automation, and data analysis.
• Experience with advanced issue-tracking and project management platforms (e.g., JIRA, Polarion, Confluence), including dashboard creation and workflow optimization.
• Working knowledge of functional safety standards (e.g., ISO 26262) and their application in autonomous systems.

This role is hybrid from our Pittsburgh office. It requires in-office days each week.

Position Summary

Reporting to the Electrical Design Engineering Manager, this position is responsible for leading projects of varying complexity, reviewing and providing oversight of all projects built by the assigned design team, guiding and mentoring design engineers to reach their goals and assist with supporting the local production facility with any technical issues.

Key Responsibilities

• Review and redline drawings completed by other engineers. Suggest solutions or alternate designs where applicable, ensuring packages are complete, consistent with electrical regulatory body standards, and that they meet the project requirements.
• · Proactively suggest novel solutions to problems as they arise.
• · Aid in building training programs and development plans for local engineers.
• · Provide onboarding and training for new engineering and support team members.
• · Provide mentorship and encourage growth and technical/professional advancement in the teams.
• · Provide insight, product solutions and reference projects to enable the success of the electrical design engineering team.
• · Provide training exercises for the electrical design engineering team.
• · Attend kick-off meetings for new complex orders.
• · Check in with engineers regularly to identify issues that could lead to missed due dates or design issues. Find solutions to keep jobs on track and be a resource when the design engineer has questions.
• · Work with the test department and production staff to help coordinate testing of complex products.

Qualifications

• Bachelor’s degree in Electrical Engineering, Electrical and Computer Engineering Technology diploma (Power Option preferred) or equivalent professional experience preferred.
•  Minimum of 3 years of design experience in power products.
• Excellent working knowledge of MS Office Suite (Word, Excel, PowerPoint, Project, etc.).
•  Working knowledge of AutoCAD drafting software.

Compensation 

The salary range for this role is $115,200-$174,720 per year, based on location, experience, and qualifications.

Mission Summary:

We are seeking a Verification and Validation (V&V) Lead to spearhead efforts for the Perception subsystem of our autonomy stack. Reporting directly to the Head of Perception, this critical role is responsible for the full spectrum of efforts required to close the safety case for the perception subsystem, enabling our driverless commercial launch and subsequent product expansions.

This hybrid role demands broad experience in the self-driving field, with specific competencies in: test engineering, systems and safety, data analytics and reporting, simulation technology, and leveraging AI for workload automation and insight generation. Success in this highly collaborative role also requires exceptional written and verbal communication, leadership, cross-team influence, and a consistent ability to prioritize work and deliver results.

Key Responsibilities:

• Requirements Driven Development / Test Driven Development
• Influence requirements from the perspective of problem understanding, covariate coverage, and testing capabilities/challenges.
• Educate perception engineers and be a champion for V&V best practices.
  
  
• Problem Definition and Performance Analysis
• Collaborate with autonomy and systems engineers to establish problem taxonomies and identify critical performance covariates.
• Identify or define appropriate metrics.
• Create dashboards and automate reporting.
  
  
• Perception V&V Strategy
• Establish coverage targets and identify data/testing gaps.
• Validate the test strategy and provide early feedback to developers.
• Create actionable test plans involving a spectrum of test modalities.
• Create critical tests as-needed, work cross-team to scale test creation to achieve coverage targets.
  
  
• Test Technologies
• Understand the limitations of existing tools and simulation technologies and how they impact our coverage plans.
• Advocate for engineering work to address testing and automation limitations.
• Find creative ways to get the desired signals when a straightforward approach is deemed infeasible.
  
  
• System/Subsystem Performance Boundaries
• Be a bridge between Perception and the “Systems Readiness and Performance” organization. Act as the primary point of contact between the organizations.
• Advocate for, and adopt, common processes, technology, and terminology to ensure subsystem and system level evaluations work seamlessly together.
• Ensure that we understand the system-level impact of a perception failure mode and communicate this effectively across the entire organization.
  
  

Required Qualifications:

• Education and Experience
• Bachelor's degree in a STEM field (preferred).
• Experience leading Verification and Validation (V&V) for a safety-critical product.
• V&V experience specifically with a self-driving vehicle (strongly preferred).
  
  
• Domain Expertise
• General knowledge of the self-driving vehicle software stack.
• Understanding the different types of simulation technologies used in autonomy development.
• Expertise in creating and executing V&V test strategies.
• Expertise in test set creation, test organization (tagging, requirements and deficiency linking), and structured reporting.
• Strong understanding of how performance analysis informs risk assessment, and acts as the cornerstone for “go/no-go” decisions.
• Understanding of basic descriptive statistics.
  
  
• Programming & Tools
• Proficiency in Python for light scripting, database queries, and automation.
• Familiarity with common dashboarding software.
• Familiarity with AI/Agentic coding tools to accelerate workloads.
• Experience using common software tools such as version control (Git) and build automation (Buildkite, Jenkins).
  
  
• Soft Skills
• Excellent written and verbal communication skills.
• Demonstrated ability in collaboration, leadership, innovation, and creativity.
• A track record of reliability, trustworthiness, and delivering impact.
• Ability to frame safety discussions within a grounded risk assessment framework.
  
  

Preferred Qualifications:

• Entrepreneurial experience or other evidence of being self-driven, adaptable, and results-oriented.
• Patents or other evidence of innovation and creativity.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Join Minitab and play a key role in building and evolving the software solutions that empower businesses worldwide. As a Software Engineer II, you’ll contribute to innovative products, collaborate with a talented team, and help drive the future of data-driven technology through modern development practices.

What You’ll Do

Build & Enhance Software Solutions

• Design, implement, test, and deliver high-quality software applications and systems
• Apply strong architectural and coding principles to ensure scalability, maintainability, and security
• Identify and address technical debt, improving performance, readability, and developer experience
• Troubleshoot and resolve defects within your team’s areas of ownership

Collaborate & Deliver

• Participate in code reviews—giving and receiving constructive feedback
• Plan and prioritize work to ensure consistent, reliable delivery
• Communicate progress, risks, and solutions clearly with teammates and stakeholders

Support Production Systems

• Assist in investigating and resolving production issues during business hours
• Contribute to post-incident reviews and continuous improvement efforts

Grow as a Technical Contributor

• Develop expertise in key areas and act as a resource within your team
• Support and mentor junior team members when needed

Continuously Learn

• Actively build your skills, seek feedback, and embrace new challenges
• Stay current with evolving technologies and best practices

What You Bring

• 2+ years of commercial software development experience
• Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience)
• Strong understanding of software design principles, algorithms, and data structures
• Proficiency in one or more languages such as C++, C#, Python, or JavaScript
• Experience with web technologies (HTML, CSS, JavaScript) and frameworks like React, Vue.js, .NET Core, or Node.js
• Strong English communication skills (written and verbal)

How You Work

You thrive in a fast-paced, collaborative environment and demonstrate:

• Tech Savvy: Embracing and applying modern technologies
• Action Orientation: Tackling challenges with energy and urgency
• Collaboration: Building strong partnerships to achieve shared goals
• Self-Development: Continuously learning and growing
• Decision Quality: Making thoughtful, timely decisions
• Effective Communication: Tailoring your message for different audiences

Why Minitab?

At Minitab, your work directly impacts how organizations around the world make smarter, data-driven decisions. You’ll be part of a team that values innovation, collaboration, and continuous improvement—while giving you the opportunity to grow your career and technical expertise.

This position is onsite at our State College, PA headquarters, remote work is not an option.

Applicants must be in commutable distance to State College for consideration. 

This position is ineligible for visa sponsorship. 

To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.

Our Benefits:

HEALTH INSURANCE:  Medical, Dental, and Vision Insurance is provided at no cost for full-time employees upon date of hire. Low co-pay pharmacy benefit and affordable family coverage plan is available. Short and Long Term Disability is fully paid by Minitab. Employee Assistance Program (EAP) - Provides guidance for personal issue and information on other Work Life Matters.

LIFE INSURANCE:  Group Term Life Insurance is provided at no cost for full-time employees at three times employee base salary. Minitab provides eligible employees the opportunity to purchase Voluntary Life Insurance for themselves and eligible dependents at affordable rates.

RETIREMENT PLANNING:  A 401k Retirement Plan with T. Rowe Price is provided with eligible employee contribution immediately. Minitab will match dollar for dollar up to the first 6% of employee’s contribution. Employees are fully vested in the Minitab, LLC 401(k) Retirement Plan upon date of hire.

PAID TIME OFF:  Paid holidays, as well as 4 weeks of annual paid time off are provided. The annual paid time off increases one week every five years.

HIGHER AND PROFESSIONAL DEVELOPMENT:  The pursuit of ongoing development is important and valued at Minitab. In support of this value, Minitab offers tuition and related expenses assistance for both higher education and other professional development.

FLEXIBLE SPENDING ACCOUNT:  Medical and Dependent Care Reimbursement Accounts - Pre-tax Deductions. Parking and Transit - Pre-Tax Deductions.

HYBRID WORK SCHEDULE:  We offer a hybrid work model for eligible positions.

PREMIUM BENEFITS:  At our State College, PA Headquarters, there is an onsite gym, indoor swimming pool, yoga studio, movie theater, outdoor sand volleyball court, game room, arcade room and even a golf simulator. Personal training and nutrition counseling is available upon request.

This position is ineligible for visa sponsorship. 

To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.  

Job application remains open until filled.

Join Minitab as a Senior Software Engineer and play a critical role in developing and maintaining a suite of innovative software products and systems. In this position, you’ll provide technical leadership, solve complex challenges, and contribute directly to shaping the future of data-driven decision-making for businesses worldwide through cutting-edge technology adoption.

This is an opportunity to work in a fast-paced environment where your expertise, creativity, and leadership will make a meaningful impact on both products and team success.

What You’ll Do

Develop & Maintain Software Products and Systems

• Design, plan, implement, test, document, and deliver high-quality software applications and systems
• Ensure solutions meet standards for quality, testability, maintainability, scalability, and security
• Advocate for and contribute to robust test automation capabilities
• Perform code maintenance and manage technical debt while optimizing the developer experience
• Troubleshoot and resolve complex defects, including issues beyond your immediate area of expertise

Provide Technical Leadership

• Serve as a subject matter expert across product features, technologies, or systems
• Collaborate with senior technical leaders on design and architecture
• Share knowledge through documentation, tech talks, and team learning sessions
• Mentor junior team members and support their growth

Support Production Systems

• Maintain high-quality production software through ongoing support
• Participate in on-call rotations as needed
• Lead investigations into incidents and defects, including root cause analysis and follow-up actions

Drive Software Delivery

• Collaborate with cross-functional teams to deliver projects successfully
• Plan and manage backlogs for medium to large features or projects
• Enable incremental, iterative delivery with predictable velocity
• Manage risks and competing priorities through proactive communication

Collaborate & Communicate

• Communicate effectively with stakeholders to align on goals, priorities, and risks
• Provide thoughtful, thorough, and timely code reviews

Continuously Learn & Grow

• Maintain a strong commitment to continuous learning and skill development
• Share knowledge and contribute to the growth of your team and peers

What You Bring

• 5+ years of progressive commercial software development experience
• Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience)
• Strong understanding of software design principles, algorithms, and data structures
• Proficiency in one or more programming languages (e.g., C++, C#, Python, JavaScript)
• Experience with web technologies including HTML/CSS, JavaScript, and frameworks such as React, Vue.js, .NET Core, or Node.js
• Proficiency in speaking, reading, and writing English

Core Competencies

You thrive in a fast-paced, collaborative environment and demonstrate:

• Drives Results: Delivers outcomes consistently, even in challenging situations
• Courage: Addresses difficult issues directly and constructively
• Collaborates: Builds strong partnerships to achieve shared goals
• Communicates Effectively: Adapts communication to meet diverse audience needs
• Decision Quality: Makes timely, well-informed decisions
• Tech Savvy: Anticipates and adopts innovative technologies

Why Minitab?

At Minitab, your work directly impacts how organizations around the world make smarter, data-driven decisions. You’ll be part of a team that values innovation, collaboration, and continuous improvement—while giving you the opportunity to grow your career and technical expertise.

This position is onsite at our State College, PA headquarters, remote work is not an option.

Applicants must be in commutable distance to State College for consideration. 

This position is ineligible for visa sponsorship. 

To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.

Our Benefits:

HEALTH INSURANCE:  Medical, Dental, and Vision Insurance is provided at no cost for full-time employees upon date of hire. Low co-pay pharmacy benefit and affordable family coverage plan is available. Short and Long Term Disability is fully paid by Minitab. Employee Assistance Program (EAP) - Provides guidance for personal issue and information on other Work Life Matters.

LIFE INSURANCE:  Group Term Life Insurance is provided at no cost for full-time employees at three times employee base salary. Minitab provides eligible employees the opportunity to purchase Voluntary Life Insurance for themselves and eligible dependents at affordable rates.

RETIREMENT PLANNING:  A 401k Retirement Plan with T. Rowe Price is provided with eligible employee contribution immediately. Minitab will match dollar for dollar up to the first 6% of employee’s contribution. Employees are fully vested in the Minitab, LLC 401(k) Retirement Plan upon date of hire.

PAID TIME OFF:  Paid holidays, as well as 4 weeks of annual paid time off are provided. The annual paid time off increases one week every five years.

HIGHER AND PROFESSIONAL DEVELOPMENT:  The pursuit of ongoing development is important and valued at Minitab. In support of this value, Minitab offers tuition and related expenses assistance for both higher education and other professional development.

FLEXIBLE SPENDING ACCOUNT:  Medical and Dependent Care Reimbursement Accounts - Pre-tax Deductions. Parking and Transit - Pre-Tax Deductions.

HYBRID WORK SCHEDULE:  We offer a hybrid work model for eligible positions.

PREMIUM BENEFITS:  At our State College, PA Headquarters, there is an onsite gym, indoor swimming pool, yoga studio, movie theater, outdoor sand volleyball court, game room, arcade room and even a golf simulator. Personal training and nutrition counseling is available upon request.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.  

Job application remains open until filled.

Shift4 is expanding globally and seeking a mid-level Software Engineer to contribute to the development and maintenance of Shift4’s production systems. This role involves writing clean, modular, and maintainable code, participating in code reviews, deploying builds to a continuous integration pipeline, and owning major projects. As an integral member of the engineering team, the individual will collaborate on architecture design, optimize existing systems, and build scalable applications.

This role is based onsite at Shift4's headquarters in Center Valley, PA. 

Responsibilities

• Contribute stable, well-written code to the production system.
• Provide detailed feedback for colleagues via code reviews to ensure code quality.
• Begin learning and understanding new languages or frameworks.
• Deploy multiple builds to a continuous integration pipeline with minimal issues.
• Write and maintain test cases for various projects to ensure code quality.
• Set up and manage staging and production environments for development.
• Own and deliver at least one major project with successful outcomes.
• Contribute to architecture design for both large and small-scale systems.
• Provide feedback on optimization or refactoring for existing systems to improve performance.

Qualifications

• This is a mid-level role requiring a minimum of 3 years of experience in front-end design and development, including coding in JavaScript, React, CSS, and HTML.
• Experience with Node.js, NextJS, Typescript, React, Git, Tailwind CSS.
• Familiarity with Unix system administration and shell scripting.
• Familiarity with unit testing and high code coverage (Mocha, Xunit experience is a plus).
• Ability to write modular, maintainable, and clean code.
• Experience designing, building, and shipping websites, software, and/or mobile apps.
• Strong communication skills in English with the ability to clearly communicate technical topics to non-technical people.
• Proven ability to work well in a fast-paced, multi-disciplinary team environment.
• Proficiency with Git/GitHub.
• Ability to learn, adapt, and keep an open mind toward new technologies.

Additional experience that is a plus to have:

• Bachelor’s degree in Information Technology, Computer Science, or equivalent preferred.
• Any relevant certifications (Palantir Foundry, Oracle ERP, PMI, etc.) are beneficial but not required.
• Experience working with NextJS applications, NodeJS REST APIs, and backend databases.
• Well-versed in problem-solving, source code management, unit testing, and CI/CD pipelines.

#LI-BN1

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

The Senior Engineer Team Lead is responsible for the validation of the autonomous vehicle stack with a primary emphasis on the interface between software and physical hardware. This role leads the development and execution of Hardware-in-the-Loop (HIL) testing strategies to ensure that perception, planning, and control algorithms interact safely and reliably with vehicle sensors, actuators, and ECUs.

You will be the technical authority for HIL bench architecture and hardware-software integration, ensuring that the "brain" of the vehicle commands the physical "body" with millisecond precision and fail-safe reliability.

Essential Duties:

• HIL Strategy & Architecture: Lead the design, setup, and maintenance of high-fidelity HIL test benches (e.g., dSPACE, NI, or Speedgoat). Define the hardware-software mapping required to simulate real-world vehicle dynamics.
• Hardware-Software Integration: Own the validation of the Drive-by-Wire (DBW) system, ensuring steering, braking, and acceleration commands meet safety-critical latency and accuracy requirements.
• Fault Injection & Robustness: Design and execute complex hardware fault-injection campaigns (e.g., sensor signal loss, CAN bus flooding, power interrupts) to validate system-level safety monitors.
• Communication Protocol Expert: Direct the testing of automotive communication networks, including CAN, CAN-FD, Automotive Ethernet, and LIN, using tools like Vector CANoe/CANalyzer.
• Multi-Modal Validation: While focusing on hardware, maintain oversight of SIL and closed-course testing to ensure HIL results correlate with virtual and physical track performance.
• Mechatronic Debugging: Lead root-cause analysis for complex electromechanical issues, utilizing oscilloscopes, multimeters, and logic analyzers to debug signal integrity and power distribution.
• Tooling & Automation: Architect Python-based automation frameworks for HIL regression suites, reducing manual bench time and increasing test coverage.
• Safety Compliance: Act as a lead reviewer for ISO 26262 functional safety requirements, specifically focusing on Hardware-Software Interface (HSI) specifications.
  
  

Qualifications:

• Education: Bachelor’s or Master’s degree in Electrical Engineering, Mechatronics, Mechanical Engineering, or Robotics.
• Experience: 5+ years in Systems/Hardware testing, with at least 3 years focused on HIL simulation within the automotive or aerospace industry.
• Technical Mastery:
• Hardware: Expert knowledge of ECUs, sensors (Lidar/Radar/Camera), and mechatronic actuators.
• Simulators: Proven experience configuring real-time simulation environments (e.g., dSPACE ControlDesk, NI VeriStand, or IPG CarMaker).
• Scripting: Expert proficiency in Python for test automation and Matlab/Simulink for plant model integration.
• Domain Expertise:
• Deep understanding of automotive electrical architectures and power management.
• Experience with sensor calibration and synchronization across hardware interfaces.
• Familiarity with SOTIF (ISO 21448) and how hardware limitations impact autonomous functionality.
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Working Environment:

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job.  Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the team member is regularly exposed to outside weather conditions, road conditions, and pedestrian traffic.  The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and airborne particles.  The noise level in the environment is low to moderate.

Motional AD LLC is an Equal Employment Opportunity employer, and we welcome all qualified applicants.  All applicants will receive impartial consideration regarding race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation, or another legally protected status.  Motional AD LLC is a Drug-free workplace.

This role is based in our Pittsburgh office and requires in-office days each week.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

Mission Summary:

The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.

We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.

Responsibilities:

• Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
• Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
• Evaluate machine learning model performance against these metrics and tests.
• Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
• Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
• Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
  
  

Qualifications:

• An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
• Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
• Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
• Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
• Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
  
  

Bonus Skills:

• Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
• Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
• Knowledge of C++, especially applied to safety critical systems.
• Experience with systems verification and validation techniques
• Experience with regression testing updates to already-deployed software in a safety-critical environment.
• Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
• Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
• Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
• Work in cross collaboration teams to address problems and find solutions
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. 

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

Mission Summary:

As a Technical Lead Manager at Motional, you'll lead a team responsible for the development and delivery of core trajectory planning algorithms via numerical optimization for autonomous vehicles. In this role, you will be at the forefront of shaping the motion planning and control systems that enable our fleet to navigate complex environments safely, efficiently, and comfortably. As a key leader, you will drive the development and continuous performance improvements of cutting-edge trajectory generation algorithms, collaborate with cross-functional teams (Planning, Perception, Prediction, Localization, ML Products, and Systems Engineering), and mentor a talented group of highly skilled engineers to deliver state-of-the-art solutions. 

If you are passionate about autonomous driving and being part of our commercial launch this year, thrive on solving challenging real-world problems, and eager to make a significant impact in a rapidly evolving field, we want to hear from you!

What you'll do:

• Lead and scale a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term organizational role within the Motion organization.
• Drive commercial launch readiness for trajectory planning by delivering on-road driving behavior improvements (safety, comfort, and assertiveness) across the fleet through feature expansion, continuous performance improvements, and innovation through state-of-the art methods.
• Apply a rigorous, metrics-driven framework to quantify and improve on-road performance. Champion leveraging existing training and evaluation pipelines to ensure scalable, production-ready delivery.
• Manage the computational efficiency and real-time performance of trajectory generation algorithms, ensuring latency budget compliance.
• Lead the rapid triage and root-cause analysis (RCA) of critical fleet incidents, translating real-world edge cases into immediate algorithmic refinements and validation sets.
• Oversee the successful execution of complex, multi-team initiatives, ensuring technical alignment from design through deployment while maintaining a rigorous standard for testing and validation to meet the high safety bars required for our commercial launch.
• Coordinate with peer leads to provide technical leadership, making consequential decisions on architectural direction, strategic investments, tactical execution, and technical debt reduction.Ensure technical excellence through rigorous design and code reviews while actively facilitating the professional growth and mentorship of your engineering team. Set and drive ambitious goals that challenge the team to deliver industry-leading trajectory planning solutions.
• Define and negotiate quarterly and annual technical roadmaps aligned with company-level autonomy milestones in coordinate with project managers and execute plans on schedule.
  
  

What we're looking for:

• Proven Engineering Leadership: 2+ years of experience managing high-performing development teams, with a demonstrable track record of inspiring, mentoring, and coaching engineers and driving measurable productivity gains.
• Ship-to-Production Mindset: Experience leading the delivery of production-quality algorithms in a high-stakes environment (Autonomous Vehicles, Robotics, or Aerospace). You know what it takes to move from a prototype to a commercially viable product.
• Strategic Vision: Ability to look beyond the immediate deliverables to define and defend a balanced technical roadmap that balances long-term architectural health with the urgent needs of a 2026 commercial launch.
• Technical Domain Expertise: Deep theoretical and practical expertise in numerical optimization and optimal control. You should be highly proficient in areas such as Model Predictive Control, nonlinear programming, and convex optimization applied to real-time trajectory generation.
• Advanced Motion Planning: Significant experience solving motion planning problems under uncertainty, including interaction-aware planning with dynamic agents and complex environmental constraints. Experience with Machine Learning based approaches is a significant plus.
• Full-Stack Robotics Context: Strong intuition for the entire robotics stack. You understand how upstream (Perception, Prediction) and downstream (Control, Actuation) systems impact trajectory feasibility and fleet safety.
• Production-Grade Software Development: Expertise in Modern C++ development within a Linux environment, with a focus on writing high-performance, real-time, and safety-critical code.
• Tooling Proficiency: Fluency in Python for rapid prototyping, data analysis, and visualization. Experience applying AI-augmented development workflows to large-scale Modern C++ codebases (e.g., agentic tools for multi-file refactoring, automated test generation, semantic code navigation, and code review acceleration) is strongly preferred. Experience with SQL or big-data frameworks for fleet-scale performance analysis is a significant plus.
• Influence & Clarity: Exceptional communication skills, with the ability to translate complex mathematical concepts into actionable plans for cross-functional stakeholders and executive leadership.
• Educational Foundation: Master’s or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related quantitative field.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

Our newly formed Design Release Engineering team, within the Vehicle Platform Engineering group, is seeking a highly motivated Staff Engineer to own the design release and integration of our autonomous vehicle’s compute and connectivity subsystem. This role serves as the primary technical authority for the end-to-end design, release, validation, and production readiness of our high-performance compute hardware and associated controllers. You will ensure robust technical execution, manage supplier and cross-functional alignment, and drive hardware delivery that meets all performance, cost, and timing objectives.

What You’ll Be Doing:

• Own the complete design release of the high-performance compute and connectivity hardware, including the mechanical mounting, alignment, thermal management, electrical interface, and vehicle network integration.
• Drive technical execution for the full product lifecycle, from concept and architecture definition to sustaining engineering and continuous improvement.
• Oversee the generation and release of all engineering documentation, including models and drawings, Bills of Material (BOM), specifications, and test reports, ensuring alignment with vehicle-level design.
• Define and maintain the Design Verification Plan & Report (DVP&R), ensuring successful validation against system performance targets.
• Lead the Engineering Change (ECN) process for compute and connectivity hardware, ensuring traceability, cost impact analysis, version control, and full cross-functional buy-in.
• Act as the primary technical and program interface to suppliers (Tier 1 and Tier 2), tracking part maturity through DV, PV, and PPAP phases to ensure tooling and delivery readiness.
• Build strong partnerships across the Systems Engineering, Autonomy, Software Infrastructure, Quality, and Vehicle Integration teams to ensure seamless hardware integration and manufacturability (DFM/DFA).
• Lead technical program reviews and design readiness assessments, proactively developing risk mitigation plans to ensure compute hardware maturity aligns with program milestones and build events.
• Provide regular, concise updates to technical leadership on design maturity, validation progress, open issues, and timely closure metrics.
  
  

What We’re Looking For:

• 8+ years of experience in automotive hardware design and release engineering, with direct ownership of Domain Controllers, HPCs, or Telematics units.
• Bachelor’s or Master’s degree in Electrical, Mechanical, Computer, or Systems Engineering (or a related field).
• Deep technical understanding of compute architectures, high-speed data buses, and wireless connectivity standards.
• Fundamental knowledge of validation documentation and processes, including DVP&R, DFMEA, and PFMEA.
• Expert-level experience with the manufacturing BOM and ECN processes, and a proven ability to manage technical discussions with external suppliers.
• Familiarity with CAD systems (e.g., NX, CATIA), Product Lifecycle Management (PLM) systems (including requirement management tools such as Polarion), and engineering release workflows.
• Strong understanding of vehicle integration, packaging, and functional safety standards (ISO 26262).
• Proven ability to lead complex initiatives, manage cross-functional teams, and execute to aggressive program timelines with minimal oversight.
  
  

Bonus Points:

• Experience with advanced in-vehicle prototypes and benchtop systems.
• Proven track record of driving goal-level impact across multiple teams or subsystems.
• Prior experience in a fast-growing autonomous vehicle or robotics company.

This role is based in our Pittsburgh office and requires in-office days each week.

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

Our newly formed Design Release Engineering team, within the Vehicle Platform Engineering group, is seeking a highly motivated Staff Engineer to own the design release and integration of  vehicle control and interface subsystems. This role serves as the primary technical authority for the end-to-end design, release, validation, and production readiness of key vehicle modules, including core systems such as Autonomous Emergency Braking (AEB), Vehicle Interface Controllers (VIC), Cabin Monitoring Systems, and Human-Machine Interface (HMI) hardware. You will ensure robust technical execution, manage supplier and cross-functional alignment, and drive hardware delivery that meets all performance, cost, and timing objectives.

What You’ll Be Doing:

• Own the complete design release of critical vehicle system hardware, including the mechanical mounting, alignment, thermal management, electrical interface, and vehicle network integration.
• Drive technical execution for the full product lifecycle, from concept and architecture definition to sustaining engineering and continuous improvement.
• Oversee the generation and release of all engineering documentation, including models and drawings, Bills of Material (BOM), specifications, and test reports, ensuring alignment with vehicle-level design.
• Collaborate closely with the base vehicle supplier (OEM partner) to ensure seamless mechanical, electrical, and network integration of the vehicle controllers and interface modules into the base vehicle architecture, managing shared Interface Control Documents (ICDs).
• Define and maintain the Design Verification Plan & Report (DVP&R), ensuring successful validation against system performance targets.
• Lead the Engineering Change (ECN) process for all assigned vehicle system modules, ensuring traceability, cost impact analysis, version control, and full cross-functional buy-in.
• Act as the primary technical and program interface to suppliers (Tier 1 and Tier 2), tracking part maturity through DV, PV, and PPAP phases to ensure tooling and delivery readiness.
• Build strong partnerships across the Systems Engineering, Autonomy, Software Infrastructure, Quality, and Vehicle Integration teams to ensure seamless hardware integration and manufacturability (DFM/DFA).
• Lead technical program reviews and design readiness assessments, proactively developing risk mitigation plans to ensure compute hardware maturity aligns with program milestones and build events.
• Provide regular, concise updates to technical leadership on design maturity, validation progress, open issues, and timely closure metrics.
  
  

What We’re Looking For:

• 8+ years of experience in automotive hardware design and release engineering, with direct ownership of ADAS/Active Safety hardware, low-level vehicle controllers, or interior electronic modules preferred.
• Bachelor’s or Master’s degree in Electrical, Mechanical, Computer, or Systems Engineering (or a related field).
• Deep technical understanding of core vehicle control architectures (e.g., AEB and VIC) and automotive network topologies (e.g., CAN-FD, automotive ethernet).
• Technical knowledge of interior electronics and cockpit integration, including HMI ECUs/displays, cabin monitoring sensors, and their associated high-speed video/data protocols (e.g., GMSL, FPD-Link).
• Fundamental knowledge of validation documentation and processes, including DVP&R, DFMEA, and PFMEA.
• Expert-level experience with the manufacturing BOM and ECN processes, and a proven ability to manage technical discussions with external suppliers.
• Familiarity with CAD systems (e.g., NX, CATIA), Product Lifecycle Management (PLM) systems (including requirement management tools such as Polarion), and engineering release workflows.
• Strong understanding of vehicle integration, packaging, and functional safety standards (ISO 26262).
• Proven ability to lead complex initiatives, manage cross-functional teams, and execute to aggressive program timelines with minimal oversight.
  
  

Bonus Points:

• Experience with advanced in-vehicle prototypes and benchtop systems.
• Proven track record of driving goal-level impact across multiple teams or subsystems.
• Prior experience in a fast-growing autonomous vehicle or robotics company.
  
  

This role is based in our Pittsburgh office and requires in-office days each week.

Mission Summary:

We are seeking a capable and highly motivated Engineer for our Developer Platform team to enable rapid and safe software delivery by providing a unified, efficient and reliable platform for all developers at Motional. You will join a talented team of engineers that focuses on improving the engineering experience and developer productivity of teams in Motional by providing them with the necessary tools and processes. You will collaborate closely with teams across the organization to identify pain points and drive initiatives that empower teams to deliver on Motional’s mission.

Your main focus will be on our real-time data pipeline which enables our AVs to communicate with our cloud services such as Command Center, Over-The-Air update systems, and ride hailing partners integration.

This is a remote-first position based anywhere in the U.S. 

What you'll do:

• Design, build, document, test, and maintain network, compute, and storage infrastructure of our cloud platform for the AV fleet.
• Monitor, support, and resolve issues as they arise in production.
• Assist with high-level analysis, system design, and code reviews.
• Communicate with stakeholders and team leads to identify system requirements.

What you'll be working on:

• Observability systems, CI/CD pipelines for integrations with ride hailing partners like Uber and Lyft.
• Cost Optimizations, Performance Optimizations, Security Improvements of Cloud Systems.
• Automation, services and LLM-integrated bots to reduce developer toil.

What you bring:

• 2+ years of professional work experience as a Software Engineer/DevOps in designing and building distributed systems.
• Experience with Golang / Python.
• Experience with AWS (EC2, EKS, ECS, Lambda, VPC, S3, IAM, IOT).
• Knowledge of CI/CD tools (e.g. GitLab CI, Jenkins).
• Experience with Infrastructure as Code (Terraform).
• Comfortable taking projects from ideation through to completion, with strong communication and collaboration across multiple international teams.
• Comfortable working in a fast-paced, continuous delivery environment.

Bonus points for experience with:

• Working with a globally distributed team.
• Experience with serverless architectures, building systems using SQL and NoSQL databases.
• Experience with time-series databases and monitoring tools (Prometheus, VictoriaMetrics, Grafana, Redash).
• Experience with GenAI solutions (Q Developer/Business, Gemini).
• Experience in Site Reliability Engineering.
• Experience with error monitoring software (Sentry, Incident.io).

You’re an engineer who is excited to work on cutting-edge software products and solutions using state-of-the-art computer vision and deep learning. You have a solid foundation in areas like detection, classification, segmentation, or tracking—whether through previous roles, internships, or research—and you’re eager to apply those skills in an impactful, production-focused environment.

You’re curious, motivated, and ready to learn from experienced teammates. You enjoy solving challenging technical problems, asking thoughtful questions, and collaborating with others to build high-quality software.

You’re excited about contributing to the perception stack for self-driving vehicles and learning what it means to build technology for safety-critical, open-world applications.

What you’ll be doing:

• Contribute to the design, development, and improvement of perception components that support downstream modules within the autonomy system.
• Help analyze perception system performance to identify areas for improvement and participate in efforts to address them.
• Work with teammates to explore creative approaches to “long-tail” challenges—for example, experimenting with synthetic data, data mining techniques, or new model architectures.
• Depending on your background and interests, you may also help optimize and deploy models to the vehicle, ensuring they operate within the constraints of our onboard hardware and meet our functional requirements and interface specifications.
• Interface with systems and safety engineers, test engineers, and data analysts to ensure appropriate requirements, test coverage, and performance metrics

What We’re Looking for:

• Master's or Ph.D. in Machine Learning, Computer Science, Robotics, or a related field; or equivalent industry experience
• Solid understanding of fundamental deep learning concepts and computer vision techniques
• Experience building, training, or evaluating neural networks
• Proficiency in Python and familiarity with libraries like PyTorch or similar
• Exposure to software engineering fundamentals—version control, code reviews, testing, and collaborative development
• Clear communication skills and willingness to ask questions, share ideas, and work with others

Bonus Points:

• Previous experience with sensor fusion and/or previous exposure to the AV industry
• Experience shipping a “real” product and balancing ongoing support with next-generation innovation
• Exposure to safety-critical products or components
• Publications in relevant conferences (CVPR, ICML, NeurIPS, etc.)
• Strong programming skills in C++ and/or CUDA programming
• Experience with TensorRT and model quantization

Mission Summary

You will be responsible for power and signal distribution design for Autonomous Vehicles. We are looking for someone who is proficient in hardware design life cycle, comfortable working in a high paced environment, and someone who can adapt quickly.  You will work cross functionally to gather details required for proper connections, generate system diagrams, electrical schematics, wiring harness diagrams, and assist with assembly and build documentation. You will also create detailed component and system qualification, validation test plans, and perform & oversee testing. 

We are looking for a detail-oriented problem-solver, able to employ critical thinking and time management skills and can work effectively both independently and in teams. Work with people of diverse backgrounds and develop creative and innovative ways to improve processes.

The Motional Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

What you'll be doing:

• Quickly gain a deep understanding of system architecture and specifications to implement the detailed electrical design of the AV system into a vehicle platform.
• Work within an interdisciplinary team to troubleshoot, test, and fix electrical and system issues in prototype vehicles and test fixtures.
• Support product design reviews.
• Review internal and external requirements and specification documentation.
• Perform worst case analysis and simulation to ensure compliance to system requirements.
• Generate system diagrams, electrical schematics, wiring harness diagrams, and assist with assembly and build documentation.
• Create detailed component and system qualification and validation test plans and perform / oversee testing.
• Support EMC certification testing and develop and maintain electrical DFMEA.
• Utilize structured problem-solving techniques for test failure resolution.

What we're looking for:

• 6+ years of experience in electrical engineering.
• Ability to read and interpret schematics and assembly drawings.
• Lab equipment experience with power supplies, oscilloscopes function generators and multimeters.
• Familiarity with wire harness design process and software tools to help EE team design vehicle power and signal distribution
• Ability to multitask across various project activities and work with a global team.
• Ability to provide hands-on debugging as needed during testing and evaluation.
• Experience with other vehicle communication networks (CAN, CAN-FD, Automotive Ethernet, LIN).
• Strong troubleshooting and debugging skills.
• Bachelor’s degree or higher in Electrical Engineering

Mission Summary:

Our Component Engineering Team in Pittsburgh is seeking a Senior Hardware Engineer for Radar Components to lead the development of next-generation radar technology powering advanced mobility systems. In this role, you’ll take ownership of radar component design from concept to production, defining requirements, selecting and managing suppliers, integrating systems, driving testing and validation, resolving issues, and ensuring production readiness. 

This is an onsite, hybrid position based in Pittsburgh, PA.

What you'll be doing:

• Lead technical supplier management, coordinating technical activities and project milestones across internal and external stakeholders.
• Compile, define, and maintain complete sets of requirements for radar components.
• Collaborate cross-functionally with Perception, Systems, Mechanical, Vehicle, Manufacturing, Quality, Software, Cybersecurity, Diagnostics, and Reliability teams.
• Develop and support testing for ML-based algorithms, including test design, planning, execution, and data collection.
• Lead radar acceptance, performance, and characterization testing to ensure robust system performance.
• Support and drive vehicle integration efforts for radar systems.
• Conduct root cause analysis and oversee issue resolution to maintain quality and reliability.
• Lead continuous improvement projects focused on radar components and processes.

What we're looking for:

• Deep understanding of radar hardware, radar DSP, and radar testing and performance.
• Proven experience developing automotive radar components and radar system design.
• 5+ years of experience in the automotive or a related industry.
• Experience with multi-domain controllers, secure gateways, or ADAS controller development.
• Comfortable debugging, disassembling, modifying, and installing electrical and mechanical systems in vehicles.
• Strong ability to operate within rigid design, integration, and time constraints.
• Basic knowledge of vehicle electrical and networking systems (CAN, LIN, Ethernet, etc.).
• Strong communication skills with the ability to collaborate globally across teams and levels to drive project success.
• Self-motivated, organized, and flexible individual with the ability to balance and prioritize multiple diverse projects.
• Creative and resourceful problem-solver who ensures quality results independently and in teams.
• Hands-on vehicle integration experience, including wiring harnesses and packaging, is preferred.
• Bachelor’s degree in Engineering (STEM) or a related field.

This position may require the use of power tools, as defined by OSHA (electric, pneumatic, liquid fuel, hydraulic, or powder-actuated tools). While performing job duties, employees may be required to convey and detect communication, remain stationary for up to 50% of the time, move within designated areas, and operate office equipment. The role may occasionally involve moving objects up to 50 pounds.

Mission Summary:

As a seasoned expert in Perception Capabilities, you'll field cutting-edge software products and solutions using state-of-the-art computer vision and deep learning. Your breadth of experience spans critical problem areas like detection, classification, segmentation, and tracking, along with essential supporting functions such as data engines, labeling policies, training pipelines, model optimization, simulation, and testing. You're driven by seeing your work significantly impact the product, taking initiative and owning outcomes.

You're eager to apply these skills to the perception stack of self-driving vehicles. You understand the unique challenges of safety-critical, open-world applications and are committed to ensuring engineering excellence and rigorous evaluation.

You'll devise creative solutions to complex problems, collaborating with interdisciplinary, capability-focused teams across the organization to design, implement, and validate end-to-end solutions.

What you’ll be doing:

• Lead the development and implementation of solutions that span across perception components and directly interface with downstream modules in the autonomy system.
• Analyze the performance of the perception subsystem to proactively identify potential limitations with respect to a set of system-level capabilities. Document potential hazards and lead the cross-team efforts to eliminate or mitigate them.
• Collaborate on innovative solutions to address “long tail” challenges. For example, developing techniques for synthetic data generation, advanced data mining, or leveraging language embeddings in our onboard models.
• Depending on your background and interests, you may also help optimize and deploy models to the vehicle, ensuring they operate within the constraints of our onboard hardware and meet our functional requirements and interface specifications.
• Interface with systems and safety engineers, test engineers, and data analysts to ensure appropriate requirements, test coverage, and performance metrics

What We’re Looking for:

• Master's or Ph.D. in Machine Learning, Computer Science, Robotics, or a related field; or equivalent industry experience
• Strong leadership skills in executing large, complex technical initiatives
• Track record of successful interdisciplinary work and product-focused engineering
• Broad understanding of Deep Learning algorithms, architectures, and applications
• Experience designing, training, and analyzing neural networks for applications relevant to perception
• Fluency in Python, including common libraries for deep learning (PyTorch), scientific computing, and data analysis and visualization
• Advanced knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and  testing methods 
• Excellent communication and interpersonal skills
• Experience mentoring and leading others

Bonus Points:

• Experience shipping a “real” product and balancing ongoing support with next-generation innovation
• Experience developing safety-critical products or components
• Publications in relevant conferences (CVPR, ICML, NeurIPS, etc.)
• Strong programming skills in C++ and/or CUDA programming
• Experience with TensorRT and model quantization

Mission:

We are seeking a highly skilled and motivated Senior Data Analysis Engineer for 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 statistical analysis. 

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 & 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:

• Work with ML Engineers and Autonomy Software Developers to develop new data analysis metrics and KPI’s for the validation of the autonomous vehicle performance.
• Drive innovation by researching and developing new large scale data analysis systems.
• Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
• Build high-quality datasets to improve ML products through training & edge case validation.
• Provide statistical depth on model performance & generalization through rigorous error and change analysis.

What We're Looking For:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, SciPy, and related data analysis frameworks.
• Experience in machine learning, data mining, and statistical analysis.
• Experience with large-scale data processing and distributed computing technologies.
• Strong communication and software development skills: goal setting, design documentation, test frameworks, collaborative cross team development.
  
  

Bonus Points:

• Ph.D. in Computer Science or a related field.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with machine learning in the autonomous driving domain.
• Publications or contributions to the AI/ML community.

Motional’s global headquarters are located at 100 Northern Avenue in Boston, MA. Nestled in the bustling Seaport district with sweeping views of Boston Harbor and downtown Boston, the office is located close to major transit lines and a quick walk to various restaurants and popular attractions.

Mission Summary:

Motional’s CORE team is responsible for our vehicle’s Compute and Onboard Runtime Environment. We are creating a world leading AI compute platform for autonomous vehicles. This is the system that executes the software and neural networks that make our vehicles autonomous. 

The Next-Gen Technologies team is part of CORE. We work at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s on-board vehicle architecture. If you are a software engineer and love the idea of working on embedded AI hardware and software systems to create the next generation of autonomous vehicles, we would love to talk with you. 

What You’ll Be Doing:

As a senior engineer in the Next-Gen Technologies team, you will help us improve the compute performance of our current generation and next-generation autonomous driving systems through participating in full lifecycle development from idea to proofs-of-concept to production. 

Specifically, you will:

• Focus deeply on ML model deployment, integration of multiple ML models, and ML model optimization on embedded compute platforms.
• Dive deep into the full ML software stack. Analyze ML workload performance on a variety of hardware processors, optimize ML models, improve ML software, and help us continually improve our stack through the application of efficient and effective ML approaches. 
• Design, develop, test, integrate, and optimize software and tools on a variety of ML compute architectures.
• Collaborate with deep learning experts in perception, prediction, and other autonomous driving application areas to enable algorithms on GPU, NPU, and other ML accelerator architectures.
• Optimize the utilization of GPU/NPU resources and sharing of GPU/NPU access across multiple programs running on the same system.
• Lead designs to determine the needs of the system and how to best meet those needs through continually improving our ML software stack.
• Advise peers and management on technical matters.

What We’re Looking For:

• Experience with machine learning accelerators, including GPUs, NPUs, TPUs, and their programming environments, including CUDA, TensorRT, or similar technologies.
• Strong experience with modern C++ development in a Linux environment.
• Experience with parallel and high-performance computing.
• Comfortable with experimentation and evaluating different options as we work towards finding solutions that work. 
• A degree in Software Engineering, Computer Science, Electrical or Electronic Engineering, or similar technical field of study, or you have equivalent knowledge gained through your practical experience.

Preferred, but not required:

• Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. 
• Experience with embedded systems development for ARM-based system-on-chip architectures.
• Experience working in a MLOps or DevOps environment.
• Passion for self-driving technology and its potential for positive impact on the world.
  
  

This role is hybrid from our Boston office. It requires two in-office days each week, ideally Tuesday and Thursday.

About the Role:

We are looking for experienced Mid-level (Full Stack, Backend, Frontend) Engineers passionate about building an excellent user experience up and down the layers of an application. The ideal candidate has contributed to features on at least one sizable production application using modern frameworks within the past year. An experienced Mid-level Engineer at Perpay will spend their time writing code, reviewing PRs, and helping scope & design new features. We value Engineers who demonstrate excitement around solving tough problems and delivering solutions in a fast-paced environment.

We aim for our Engineering team to be a place that Mid-level Engineers can push our quick-growing startup forward, and grow into future Senior Engineers and Engineering leaders. The significant projects and initiatives available to our Mid-level Engineers provide opportunities to expand experience, ownership, and business value.

Much of our team is full stack, so we look for team members excited to learn new technologies and work across all stacks, even if it’s not something you’ve done before! Our tech stack: Javascript, Typscript, React, React Native, Python, Django, Flask, Kubernetes, AWS, Docker and more.

Our greatest strength is our people and we’d love for you to be one of them!

Responsibilities:

• Collaborate closely with the development team, including UX designers, product managers, and other Engineers, to implement solutions that meet business needs and provide the best user experience
• Work with stakeholders to design, build, test, and release new features for our platform
• Write clean, efficient, and maintainable code. Break down code contributions into reviewable, shippable chunks
• Contribute to the Engineering design process by bringing forward tradeoffs and opinions
• Identify opportunities to reduce technical debt and implement changes to improve developer experience and team velocity
• Participate independently in on-call rotation and coordinate incident response

What You’ll Bring:

• Minimum of 2 years experience as a Software Engineer (excluding internships or coop experiences) with a focus on full stack development
• Strong proficiency in at least one backend application framework such as Django or Flask and experience with frontend technologies such as React, Angular, or Vue.js
• Proven experience building, deploying and maintaining scalable web applications, with knowledge of database design and management
• Knowledge of RESTful API design and integration
• Experience working with cloud infrastructure and containerization technologies such as AWS, Docker, and Kubernetes is preferred
• Passion for learning new technologies and keeping up with industry trends
• Ability to collaborate with cross-functional teams, including UX designers, product managers, and other Engineers
• Strong communication skills and ability to articulate technical concepts to non-technical stakeholders

Hey, we know not everybody checks all the boxes, so if you’re interested, please apply because you could be just what we’re looking for!

Director, Software Engineering

Department: Product Development

Reports to: SVP, Software Engineering

The Director, Software Engineering is responsible for the delivery of Enterprise SaaS products supporting the Clinical Trial industry, overseeing multiple on-shore and off-shore development teams and the delivery of multiple products and initiatives. The Director, Software Engineering provides strategic planning and tactical execution management, agile release planning across multiple teams, process and tool design, resource management, and continuous improvement. The role demands a blend of technical and business acumen, strategic and tactical focus, and an ability to balance architectural best practice and innovation pragmatism. In a typical business day, the Director, Engineering may find themselves pair-programming with developers on a priority feature or defect and briefing the C-suite on roadmap direction and key technical decisions.  

Responsibilities:

• Works with the SVP of Engineering to build a technical vision for the product line.
• Explores new technologies for future planning and potential implementation and evaluates and identifies appropriate technology to deliver business objectives.  
• Ensures engineering best practices are defined and met across teams and develops and governs technical standards to ensure adherence. 
• Collaborates with architects and principal engineers in the technical design of initiatives and business priorities. 
• Experience leading distributed or cross-functional teams globally, including recruiting, mentoring, and retaining team members in a continuous improvement environment. Provides leadership and professional growth with the goal to build our next generation of engineering leaders. 
• Extensive knowledge of enterprise architecture patterns, microservices, and distributed systems design 
• Experience with enterprise SaaS architecture and development in a product-driven environment, including multi-tenancy, scalability, and platform reliability at scale 
• Fluency in data architecture concepts including data models, data warehouses, analytical platforms, and modern data mesh or lakehouse patterns 
• Familiarity with service portfolio management, API governance, and technical debt prioritization at the enterprise level 
• Works closely with Product Management and Architecture to discover business requirements and technical approach for product initiatives and features. 
• Supports teams in the discovery and design of product backlog items and identifies and manages cross organization dependencies. 
• Develop Proof of Concept solutions to demonstrate technical design and can dive into the code and pair program with engineers as necessary.  
• Initiates and drives continuous improvement initiatives, challenges self and teams to continuously grow and achieve new levels of success. 
• Will be held accountable for the design, development, and delivery of Suvoda product and solutions.  
• A “team-player” with the ability to work within a highly collaborative environment. 
• A creative and critical thinker that is able to confidently express ideas in an articulate, concise manner. 

Requirements:  

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, Engineering or equivalent relevant work experience and/or training. 
• At least 10 years of progressive experience in the software industry, including at least 5 years in a leadership position. 
• Proven experience delivering cloud-native applications on AWS, including IaC tooling (Terraform), container orchestration (EKS), and cloud cost optimization
• Good working knowledge of Python, Django ORM, Django REST Framework, and Angular for building and maintaining scalable backend and frontend services; hands-on familiarity with event-driven cloud service architectures leveraging AWS Lambda, DynamoDB, ElastiCache (Redis), and Postgres RDS 
• Strong experience managing people and teams; setting goals, providing clear technical direction, and holding teams accountable for delivering business value. 
• Strong experience with software development best practices and tooling, agile testing, developer operations, continuous integration and delivery, and site reliability engineering. 
• Relevant technical knowledge of enterprise architecture, cloud services, cloud development, containerization, business domain modelling, data warehouses and analytical platforms. 
• Proven experience in Agile Software Development methodology. 

Nice to Have:

• Hands-on experience adopting and governing AI coding assistants (e.g., Claude, GitHub Copilot, Cursor) across engineering teams, including establishing standards for responsible use, prompt engineering best practices, and measuring productivity impact
• Familiarity with Anthropic's Claude API or Claude Code for agentic developer workflows, including task automation, code generation pipelines, and AI-assisted code review
• Experience integrating LLM-powered tooling into the SDLC — such as AI-assisted test generation, documentation automation, or intelligent PR summarization
• Demonstrated ability to lead organizational change around AI adoption — including upskilling teams, establishing guardrails, and balancing developer autonomy with governance
• Familiarity with prompt engineering principles and the ability to coach engineers on effective human-AI collaboration patterns 

About the Role:

We’re searching for an experienced and owner-minded Software Engineer to join Perpay and contribute to our culture of technical excellence. You will lead large-scale projects from start-to-finish, working across multiple teams (analytics, commerce, product, design, operations) while providing guidance to junior-level engineers. As we’re a growing engineering team, you’ll also have the opportunity to make an impact on our tech and our team. Given our people-first approach, your elevated level of contribution will strengthen our culture of inclusion, mentorship, and continuous learning.

As a leader of Perpay’s engineering team, you’ll collaborate with stakeholders ranging from entry-level contributors to senior-level executives. This opportunity is both unique and pivotal, as it offers the chance to provide leadership to a rapidly growing team. Our tech stack: Typescript, Javascript, React, Redux, Python, Django, Flask, Kubernetes, AWS, Docker and more

Our greatest strength is our people and we’d love for you to be one of them!

We highly value product-mindset, experience building production web apps for real users, and ability to coach and support junior engineers. An ownership mentality is a must, along with empathy and low ego. We’re building to win, and are eager to find more team members to help us get there.

You Will:

• Be a leader our team looks to as a model of execution, accountability, and technical expertise
• Lead the implementation of large scale features for our customers and our internal finance, operations, and risk teams
• Develop technical requirements alongside our Product team
• Solve problems that span multiple interconnected systems with distributed architectures and scaling systems
• Execute on the full lifecycle of new features with fellow engineers
• Continue to improve how we build, test, and deliver software

What You’ll Bring

• 5+ years of experience building web applications at scale in at least one modern language / framework (Python/Django, React/Typescript, Rails, etc.)
• 2+ years of experience leading technical teams and large, complex projects
• Experience working on consumer-facing products and demonstrating empathy for end-users
• Excellent at unblocking yourself and those around you, and an ability to design, analyze, and debug distributed systems and services.
• Significant experience with operating large scale services with AWS, Docker, and/or Kubernetes
• Excellent communication skills, including the ability to explain highly technical subject matter to a nontechnical audience

NYC-level total cash-comp (base $160k into the $200’s, plus equity and a discretionary cash bonus)

We know not everybody checks all the boxes, so if you’re interested, please apply because you could be just what we’re looking for!

How You'll Make an Impact: 

As a Senior Fullstack Engineer on the Distribution Team, you'll be instrumental in developing and enhancing the products that connect Cloudbeds' ecosystem to the world's largest distribution channels. You'll architect scalable solutions using modern technologies, contribute to our microservices migration, and ensure our platform delivers exceptional performance and security for thousands of properties worldwide. Your work will directly impact how hotels reach guests through integrations with major platforms like Booking.com, AirBnb and beyond.

Our Distribution Team:

We're the bridge connecting properties to the global travel ecosystem. Our team tackles complex integration challenges that directly impact revenue for thousands of hotels worldwide, from building rock-solid connections with major OTAs to ensuring every booking flows seamlessly and securely. We balance innovation with pragmatism: migrating legacy systems to modern microservices while maintaining the reliability our customers depend on. If you thrive on solving hard technical problems with real business impact and love the challenge of both building greenfield features and refactoring legacy code, you'll feel right at home here.

What You Bring to the Team:

• Design and implement robust backend features and improvements using PHP, with a strong focus on performance optimization and scalability for our distribution platform
• Build intuitive frontend experiences using React and Vue, ensuring seamless user interactions across the Cloudbeds ecosystem
• Architect secure solutions for handling financial transactions and sensitive personal data, applying security best practices throughout the development lifecycle
• Write clean, well-tested, and well-documented code with comprehensive test coverage (unit, integration, end-to-end) to maintain high quality standards
• Lead technical discussions on complex concepts and requirements with both technical and non-technical stakeholders, driving alignment on backend and frontend architecture decisions
• Contribute to our ongoing initiative to migrate core platform components into microservices, helping shape the long-term technical vision
• Re-architect and refactor existing legacy systems to align with modern standards and project requirements, demonstrating ownership and commitment to continuous improvement
• Mentor team members through pair programming and code reviews, promoting best practices that elevate code quality and team processes
• Collaborate with cross-functional teams to plan, build, and ship high-quality features that delight our global customer base

What Sets You Up for Success:

• 5+ years of PHP web application software engineering experience
• 5+ years of experience with JS frameworks, Vue.js and React are preferred
• Solid experience with modern JavaScript/TypeScript
• Strong hands-on experience with Docker and containerized development workflows
• Demonstrated expertise in performance optimization and expert knowledge of relational databases, indexing, and searching technologies
• Strong understanding of security considerations, particularly for applications handling financial transactions and personal data
• Experience with test automation across all levels (unit, integration, end-to-end) and a passion for quality-driven development
• Proven track record of taking ownership of projects and delivering results independently
• Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team

Bonus Skills to Stand Out:

• Experience designing and building microservices and/or micro-frontends
• Hands-on experience with PHP frameworks (CodeIgniter, CakePHP, Laravel, Symfony)
• Cloud and infrastructure experience with Kubernetes, AWS, Terraform, and Argo CD
• Experience working with event-driven architectures and messaging systems (e.g., Kafka)

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

Job Summary

The Solution Engineer/SE serve as strategic technical consultants and project leaders, supporting Automation Solutions sales, applied system development, and project initiatives across focused vertical markets. Operating with a high level of autonomy, SEs design, implement, and support advanced solutions that integrate Phoenix Contact’s complex technical products with third-party components to meet specific customer or industry segment needs. These specialists interpret and translate customer specifications into functional concepts, delivering tailored application solutions that address operational challenges and align with industry best practices. Industries served include oil and gas, water/wastewater treatment, building automation, data centers, transportation infrastructure, electric power, automotive, and network & security. Solution Engineers are strategically positioned to drive innovation, organizational agility, and long-term business value.

Responsibilities

• Develop an expert area of specialization (industry/technology) as directed by manager and attain related certifications
• Mentor and advise Associate Solution Engineers, Technical Service, Product Engineering, and Product Management on product performance in the field and suggest design changes to improve product performance and customer satisfaction
• Design training programs and training material to support complex control system projects
• Develop advanced system testing and troubleshooting processes utilizing spectrum analyzers, storage scopes, power monitors, volt meters, and other required test equipment
• Provide applied solution design and engineering support to the Control and Industry Solutions team
• Independently qualify and gather input for designs through functional specification review or by direct customer interaction
• Provide pre-sales technical support and develop a concept framework based on customer requirements and industry standards and practices
• Develop and implement test plans to validate proposed solutions
• Develop and serve as technical lead on ‘proof of concept’ or pilot applications
• Provide project management as required, and advise project team on technical issues throughout the project lifecycle
• Develop, implement, and provide on-site installation start-up support
• Perform application demonstrations together with Phoenix Contact sales engineer and/or PSE at potential customer sites
• Research and understand existing competitive and emerging products and technologies
• Document and internally communicate data supporting the development of new products to meet focus market/customer requirements
• Support the sales effort of Phoenix Contact’s complex technical products when positioned and sold as industry solutions at OEM, end-user, and system integrator focused accounts within primary and supported market segments
• Support Phoenix Contact field personnel and channel partners in technical aspects relating to the sale of systems and solutions
• Develop and conduct control solution presentations and technology seminars to targeted audiences
• Position Phoenix Contact as a technology leader through active involvement in industry related technical associations
• Develop and maintain an expert understanding of industrial networking and communication technologies. Specific expertise in Industrial Ethernet Protocols:  Profinet, Ethernet/IP, and Modbus TCP
• Develop and maintain an expert working knowledge on all Phoenix Contact industrial products with specialized emphasis on IEC 61131 programming, industrial ethernet (wired and wireless), and networked I/O
• Maintain knowledge proficiency through continued participation in industry trade events and conferences including active participation in presenting Phoenix Contact Case Studies, etc.
• Attendance and participation in accordance with corporate policies in local, national, and international meetings

Qualifications

• Minimum Associate’s Technical Degree + equivalent experience. Bachelor’s degree in engineering or technical focus preferred.
• Minimum of 4 years industrial automation experience
• Industry specific controls system design and programming experience
• Motivated self-starter with the ability to work autonomously and as part of a team
• Ability to set priorities and perform simultaneous tasks
• Ability to meet deadlines and adjust to changing priorities to meet business goals
• Excellent written and verbal communication skills
• Proficient computer skills (Word, Excel, PowerPoint)
• Effective interpersonal skills with comfort in delivering group presentations

Essential Job Functions

• 35% Travel Requirement (2% - 5% Overseas)
• Must be able to lift 60 pounds
• Must be able to sit and/or stand for extended periods of time (2-4 hours at a time)
• Must be able to work on a computer for extended periods of time (up to 4 hours at a time)
• Must be able to travel in vehicles (automobiles, trains, and planes) for up to 10 hours
• Must be able to communicate effectively in verbal and written English
• Must comply with company dress code guidelines
• Punctuality and attendance in accordance with company policies
• Timely reporting of expenses
• Regular and on-time attendance.
• This is a hybrid position requiring at least three days in the office, unless otherwise specified.

What’s in it for you?

Phoenix Contact offers a generous benefits package that includes medical, dental, and vision coverage, 401k matching, and a generous time off package. There are also a wide variety of additional benefits available including 16 weeks fully paid maternity leave & 10 weeks fully paid paternity leave, life insurance, short & long-term disability, assistance, and more!

#LI-RD1

The Role:

ElevateBio is seeking an Automation Engineer II to play a key role in owning the BaseCamp facilities controls and automation systems. This role develops support models to ensure reliable operations, manages vendor and software support contracts, and provides technical support for manufacturing, quality, and research automated systems. The Automation Engineer II supports capital projects and facility expansions, ensures new assets are integrated into the automation infrastructure, troubleshoots manufacturing equipment, and partners closely with Quality and Validation to ensure compliance and system readiness.

Success in this role requires strong system ownership, collaboration, and a customer focused mindset. The ideal candidate brings strong technical expertise in facility controls and infrastructure such as BMS, BAS, BacNet, and MTPS; automation systems including SCADA, PLCs, HMIs, and data historians; and regulatory requirements such as 21 CFR Part 11, Annex 11, and data integrity. A passion for learning, attention to detail, and hands on problem solving are essential. Robust, lean automation and data collection are critical to supporting ElevateBio’s strategy to rapidly launch next generation cell and gene therapies for patients.

 Here’s What You’ll Do:

• Manage control and automation systems projects through the entire project life cycle and ensure that systems are maintained in compliance state after go live.
• Work hand in hand with Facilities, Engineering, MSAT and Operations teams to support their projects and operational needs
• Troubleshoot issues with facilities control systems, automation systems or related infrastructure to ensure and improve manufacturing performance (e.g. yield improvements, etc.) while maintaining all those systems in compliance with cGMPs.
• Provide configuration, development, and break/fix day-to-day support of automation systems.
• Manage automation system documentation and SOPs, prepare technical and user documentation, and conduct system training
• Lead automation-related investigations into Quality Event Reports and implement the necessary corrective actions.
• Lead system maintenance and manage automation life cycle (review application patching, document test plans, and execute test scripts)
• Coordinate with business users for development of reports (batch, material, audit trails, etc.) to support efficient operations.
• Manage automation contractors supporting projects, day-to-day systems operations, planned and unplanned maintenance activities and ensure they comply with safety and quality systems.

Requirements:

• Bachelor’s degree in Engineering, Science, or related technological field
• 6+ years’ experience in life-science regulated environment (e.g. FDA) with working knowledge of the regulatory requirements for pharmaceutical applications  
• 4+ years’ experience integrating/interfacing equipment to control systems via OPC, Ethernet IP, etc.
• Experience with PLCs (e.g. Allen Bradley & Siemens), SCADA (e.g. Ignition), Batch Operations (S88/S95), OSI Soft Pi Historian, BMS/BAS (e.g. Siemens Desigo)
• Control panel and automation hardware and infrastructure design experience
• Demonstrated knowledge of 21CFR Part 11, Annex 11, and GAMP5
• Requires working in an pharmaceutical industrial manufacturing environment including gowning, desired with experience in aseptic operations.

CONTROL SYSTEMS ENGINEER

(AUTOMATION, INFORMATION & OPERATIONS TECHNOLOGY SOLUTIONS)

We are seeking a control systems engineer with 3-5 years of experience in life sciences manufacturing, specialty chemicals, water/wastewater, oil & gas, energy, or another regulated process control environment in the greater Philadelphia, Princeton, Reading, Wilmington, or Allentown area.

SUMMARY

This position will primarily be involved in the specification, design, and configuration of programmable logic controllers (PLC), distributed control systems (DCS), manufacturing execution systems (MES), and data historians (OSI PI).  As part of an internal project team or supporting a client at their site, this role will interact with cross-functional groups to propose and assess modifications to equipment and processes to improve the efficiency of the operations to include preparing and executing engineering documentation, operating/maintenance procedures, commissioning and validation test plans for multiple process and utility systems.    

SKILLS AND EXPERIENCE

• 3 + years in control systems design and implementation. Preferably a broad technical base of experience in the SDLC of automated systems (process controls, MES, and/or data management).
• Good process knowledge and a thorough understanding of engineering documents, process control (to include PLC/DCS/SCADA), networks, control systems and application engineering.
• Working knowledge of structured methodologies for manufacturing systems such as programming skills.  Experience with Emerson DeltaV and/or the Allen Bradley family of controller and interfaces are strongly preferred.
• Prior experience in the biotechnology, pharmaceutical or similar FDA regulated industry is preferred along with experience in the development and execution of test plans, IQ, OQ, PQ validation protocols for new or upgraded integrated factory floor systems.

Apply today to learn more!

Lead Systems Engineer

Location: Royersford, PA (Wilmington, DE)

Position Type: Full-Time

About Proconex

Proconex is a leading solutions provider specializing in industrial automation, engineering, and process control. We are dedicated to delivering high-quality engineering services to our clients, especially in complex, project-based environments within life sciences and other critical industries.

Role Overview

The Lead Systems Engineer will take a hands-on role in the design, configuration, and start-up of Distributed Control Systems (DCS) in highly regulated industries. This position emphasizes technical leadership in executing projects from design to startup, with a focus on DeltaV and other DCS platforms, ensuring quality and compliance throughout the project lifecycle.

Key Responsibilities

• Lead the implementation of automation systems, primarily focusing on Distributed Control Systems (DeltaV or DeltaV MES).
• Design, develop, and test batch control processes, leveraging extensive experience with DCS configurations and system integration.
• Manage all stages of the project lifecycle including planning, installation, commissioning, and on-site support.
• Collaborate with cross-functional teams, providing expertise and coordinating with clients to align project goals, system requirements, and troubleshooting strategies.
• Support and mentor junior engineers, sharing best practices in system design, startup, and troubleshooting.
• Produce and review critical project documentation, such as functional specifications, user requirement specifications, risk assessments, and operational qualification protocols.
• Serve as a primary technical lead in interactions with clients, demonstrating technical solutions and advising on process optimization.

Qualifications

• Experience: 7-10 years in automation engineering with a focus on Distributed Control Systems implementation in a project-driven environment, preferably as a systems integrator.
• Technical Skills: Proven experience with DeltaV DCS or comparable platforms in life sciences with deep knowledge of system design, configuration, and batch processing.
• Industry Knowledge: Background in life sciences is preferred, though a strong control background in any industry will be considered.
• Leadership Abilities: Demonstrated experience in leading project teams or overseeing critical project phases, even if in an informal capacity.
• Education: Bachelor’s degree in Chemical, Electrical, or related Engineering field.

Why Proconex?

Joining Proconex means becoming part of an innovative team where engineering excellence meets real-world applications. You’ll have the opportunity to lead high-impact projects, leverage cutting-edge technology, and contribute to projects that make a difference in critical industries. Apply today to learn more!

Overview

As the Industrial Engineer - Warehouse Design & Automation, you will be a technical leader responsible for designing, engineering, and scaling warehouse facilities across a multi-site fulfillment network. Your primary mission is to translate business demand and growth forecasts into data-driven, buildable warehouse designs that optimize throughput, labor efficiency, space utilization, and cost.

This role partners closely with Operations, Real Estate, Facilities, IT, Finance, and external automation vendors to deliver standardized, scalable solutions for greenfield builds, expansions, and retrofits. You will bring a strong systems mindset, deep understanding of material flow, and a bias for simplicity, operability, and long-term sustainability.

What You’ll Do

Warehouse Design & Engineering

• Design end-to-end warehouse layouts for new facilities, expansions, and retrofits, supporting high-throughput fulfillment operations.
• Engineer material flows from inbound receiving through outbound shipping, ensuring efficient, safe, and ergonomic processes.
• Define building-level requirements including dock counts, clear heights, column spacing, power, floor loading, and equipment zoning, in partnership with cross-functional teams.
• Develop and maintain layout drawings, design assumptions, and engineering narratives for leadership, finance, and vendor review.

MHE & Automation Engineering

• Specify, evaluate, and engineer material handling and automation systems including:
• Conveyors, sorters, and divert systems
• Pick modules, pallet flow, case flow, and mezzanines
• AMRs, AGVs, and goods-to-person solutions
• Packaging, labeling, dimensioning, and weighing systems
  
  
• Develop functional specifications, throughput targets, and redundancy strategies for automation systems.
• Partner with integrators and vendors through RFPs, design reviews, FAT/SAT, commissioning, and go-live support.

Capacity Modeling & Data Analysis

• Build capacity, throughput, and labor models using forecasted volumes, SKU profiles, and order characteristics.
• Analyze peak scenarios, seasonality, and failure modes to stress-test designs.
• Quantify trade-offs between labor, automation, space utilization, service levels, and cost.
• Use post-launch operational data to refine assumptions and continuously improve design standards.

Financial Analysis & Business Case Development

• Develop CapEx and OpEx estimates for MHE and automation investments.
• Support ROI, payback period, and total cost of ownership analyses.
• Partner with Finance and Leadership to support capital planning and investment decisions.
• Drive standardization across facilities to reduce engineering variability and lifecycle cost.

Launch Support & Continuous Improvement

• Support warehouse launches and expansions through go-live and stabilization.
• Partner with Operations, Maintenance, and Controls teams to resolve systemic design issues.
• Perform post-launch audits and feed learnings back into network design standards and playbooks.
• Document and maintain reference designs, engineering standards, and best practices.

What You’ll Need

• Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Systems Engineering, or a related field.
• Alternatively, equivalent hands-on experience designing warehouse automation systems may be considered.
• 5+ years of experience in warehouse design, material handling engineering, or automation.
• Proven experience designing high-volume distribution or fulfillment centers.
• Strong analytical and modeling skills, with advanced proficiency in Excel; SQL, Python, or simulation tools are a plus.
• Proficiency in AutoCAD or similar layout and design tools.
  
  

Preferred Qualifications

• Master’s degree in Industrial Engineering, Mechanical Engineering, Systems Engineering, or a related field.
• Experience in large-scale e-commerce, retail, or 3PL fulfillment networks.
• Familiarity with WMS concepts and system integration dependencies.
• Greenfield warehouse launch experience.
• Experience working directly with automation integrators or MHE vendors.
  
  

Key Attributes

• Strong systems thinker with the ability to design for scale, peak, and failure scenarios.
• Data-driven decision maker who can clearly communicate technical trade-offs to non-technical stakeholders.
• Practical, operations-aware engineer who values simplicity, maintainability, and standardization.
• Builder mindset with a desire to create mechanisms, standards, and repeatable solutions.

About the Role:

We are looking for motivated graduates to join our Software Engineering team in 2026! You’ll contribute to our codebase, test & release features into production, and collaborate with other teams like product, design, data science, analytics, and operations. The ideal candidate has software development internship experience and is enthusiastic about learning and growing! We're particularly interested in working with candidates excited about joining a mission-driven startup. On our team, you’ll sharpen your skills, learn new tools alongside other new graduates, and learn from experienced engineers. Plus, our team organizes events and social gatherings outside of work hours. We believe having a fun and engaging work environment is essential to fostering a positive company culture and creating a strong foundation for career growth.

Much of our team is fullstack, so we look for team members excited to learn new technologies and work across all stacks, even if it’s not something you’ve done before! Our tech stack: Javascript, React, React Native, Redux, Python, Django, Kubernetes, AWS, Docker, Terraform, and more.

Our greatest strength is our people, and we’d love for you to be one of them!

Responsibilities:

• Develop, test, and release features for our customer-facing and internal platforms alongside the engineering team
• Write clean, efficient, and maintainable code
• Collaborate cross-functionally to develop efficient and user-friendly solutions to support the complex needs of our business
• Actively participate in design reviews, code reviews, and discussions to improve our software architecture and implement efficient processes within our engineering team

What You’ll Bring:

• Currently pursuing a Bachelor’s degree or higher or a recent graduate studying Computer Science, Mathematics, or a related technical field 
• 1 to 2 previous Software Engineering internships with a focus on fullstack software development
• Experience with at least one backend application framework such as Django or Flask
• Experience with frontend technologies such as React, Angular, or Vue.js
• Knowledge of RESTful API design and integration
• Experience with Python or another dynamically typed language
• A strong focus on writing and deploying clear, readable, testable code
• Ability to pick up new technologies quickly, with software engineering fundamentals being valued more than familiarity with specific tools or languages
• Eagerness to learn, grow, and seek feedback from team members
• Strong communication skills

Even if you don't check all the boxes, please apply if interested. You might be exactly what we're looking for!