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July 2, 2026

Senior Engineer, Vehicle Integration

Senior • On-site

Pittsburgh, PA

Mission Summary:

We are seeking a highly motivated Vehicle Integration Staff / Senior Engineer to play a critical role in the integration, validation, and troubleshooting of next-generation vehicle platforms. This position will serve as a technical leader within the Vehicle Integration team, driving root cause analysis of complex vehicle-level issues while ensuring seamless integration of electrical, electronic, and networked systems.

The ideal candidate combines strong hands-on debugging skills with a systems level understanding of vehicle architectures, communication networks, and ECU interactions. This role requires close collaboration with cross-functional engineering teams to rapidly identify, resolve, and prevent integration issues throughout the vehicle development lifecycle.

Key Responsibilities

  • Lead investigation and root cause analysis of complex vehicle integration issues across electrical, network, software, and hardware domains.
  • Utilize structured problem-solving methodologies to identify dominant failure modes and implement robust corrective actions.
  • Integrate, configure, and validate ECUs, sensors, actuators, and embedded systems at the vehicle level.
  • Debug and validate vehicle communication networks, including CAN, CAN FD, Automotive Ethernet, and gateway routing.
  • Develop and execute vehicle integration, design validation, and product validation test plans.
  • Diagnose and resolve hardware-software interaction issues impacting vehicle functionality and performance.
  • Analyze network traces, diagnostic logs, and system data to identify and resolve integration challenges.
  • Document root cause findings, corrective actions, and lessons learned to improve product quality and development efficiency.
  • Partner with subsystem teams including ADAS, Vehicle Engineering, Infotainment, Supplier Quality, and Connectivity to drive issue resolution.
  • Support vehicle builds, bring-up activities, and validation testing throughout prototype and production phases.
  • Provide technical leadership, mentorship, and guidance to junior engineers and cross-functional teams.
  • Support integration planning, technical strategy development, and prioritization activities with the Integration Lead.

Required Qualifications

  • 8+ years of experience in vehicle integration, automotive electronics, embedded systems, or related engineering disciplines.
  • Strong experience performing vehicle-level root cause analysis and troubleshooting of complex electrical and networked systems.
  • Deep understanding of CAN (CAN 2.0, CAN FD) protocols and associated tools such as Vector CANalyzer, CANoe, PCAN, or equivalent.
  • Strong understanding of Automotive Ethernet technologies (100BASE-T1, 1000BASE-T1) and protocols including DoIP, SOME/IP, and AVB/TSN.
  • Experience with electrical system debugging using oscilloscopes, multimeters, protocol analyzers, and other diagnostic tools.
  • Ability to read, interpret, and troubleshoot electrical schematics, wiring harnesses, and connector systems.
  • Experience with vehicle network architecture development, communication routing, and topology design.
  • Strong analytical, problem-solving, and technical communication skills.

Preferred Qualifications

  • Experience supporting OEM or Tier 1 vehicle programs from prototype development through production launch.
  • Familiarity with AUTOSAR architectures, UDS diagnostics, gateway configuration, and network management.
  • Experience with ADAS, autonomous vehicle, EV/HEV, or zonal vehicle architectures.
  • Knowledge of system integration processes, DVP&R development, and vehicle validation methodologies.
  • BS or MS degree in Electrical Engineering, Computer Engineering, Systems Engineering, or a related technical field.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401k with company match
  • Health savings accounts
  • Life insurance
  • Pet insurance
  • Bonus eligibility
  • Company equity opportunities

Salary Range

$125,000—$167,000 USD

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Hybrid

Pittsburgh, PA

🏢 Summary: Software engineering role focused on developing infrastructure and compute platform software for onboard autonomous driving systems, including embedded AI hardware, vision, radar, and safety applications. The position involves designing embedded software, test harnesses, and collaborating across teams to build next-generation self-driving vehicle platforms. Opportunities are available from graduate to staff level with hybrid or remote work options. 🗂️ Requirements: Experience creating detailed requirements from use cases, Ability to lead technical initiatives and guide engineers, Experience programming embedded platforms in C, Experience programming embedded platforms in C++, Experience with Test-Driven Development (TDD), Experience with embedded Linux or RTOS, Experience with networking (Ethernet, CAN) and networking protocols, Experience debugging on embedded platforms, Experience programming in Python, Experience with shell scripting for automation, Experience working with ARM Cortex MCUs or microprocessors 📃 Skills: C, C++, Python, Shell, Embedded, Linux, RTOS, Ethernet, CAN, ARM, Cortex, TDD, Bazel, I2C, SPI, GPU, PyTorch, TensorFlow, ONNX 🏢 Description: 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 the next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for the current and next-generation onboard autonomous driving system. 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. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. Candidates for certain positions are eligible to participate in the benefits program. Benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $149,000—$198,500 USD

Technology

Motional

Senior Embedded Software Engineer

Senior

Hybrid

Las Vegas, NV

🏢 Summary: Engineering role focused on designing and developing embedded infrastructure software for high-performance compute platforms in autonomous vehicles. The position involves building and testing software for vision, radar, and safety systems on embedded hardware while collaborating across teams. Opportunity to lead technical initiatives and work on next-generation onboard AI systems. 🗂️ Requirements: Experience writing embedded software in C and C++, Experience with embedded Linux or RTOS, Experience with Test-Driven Development (TDD), Experience with Ethernet and CAN networking, Experience debugging on embedded platforms, Experience with Python and shell scripting for automation, Experience with ARM Cortex MCUs or microprocessors, Ability to create detailed technical requirements from use cases, Ability to lead technical initiatives and guide engineers 📃 Skills: C, C++, Python, Bash, Linux, RTOS, Ethernet, CAN, ARM, TDD, I2C, SPI, GPU, Bazel, PyTorch, TensorFlow, ONNX 🏢 Description: 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.The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.Salary Range$149,000—$198,500 USDMotional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Technology

Motional

Senior Embedded Software Engineer

Senior

Hybrid

Las Vegas, NV

🏢 Summary: Software engineering role focused on designing and developing high‑performance embedded infrastructure for onboard autonomous driving systems across diverse hardware platforms. The position involves building and testing embedded software for vision, radar, and safety applications, leading technical initiatives, and collaborating cross‑functionally. Opportunities are available from graduate to staff level, with hybrid or remote work options. 🗂️ Requirements: Experience creating detailed requirements from use cases, Ability to lead technical initiatives and guide engineers, Experience developing embedded software in C, Experience developing embedded software in C++, Experience with Test-Driven Development (TDD), Experience with embedded Linux or RTOS, Experience with networking (Ethernet, CAN) and protocols, Experience debugging on embedded platforms, Experience programming in Python, Experience with shell scripting for automation, Experience working with ARM Cortex MCUs or microprocessors 📃 Skills: C, C++, Python, Shell, Linux, RTOS, Ethernet, CAN, ARM, TDD, Debugging, Networking 🏢 Description: 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 next-generation onboard autonomous driving systems. The High Performance Compute Platform team is responsible for current and next-generation onboard autonomous driving systems. Hiring spans graduate to Staff engineer levels. What You'll Be Doing: - Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, and safety monitoring to run on self-driving vehicles. - Design test harnesses for embedded software components and full systems. - Provide technical mentorship to engineers. - Work with cross-functional engineering teams to solve complex technical problems. What We're Looking For: - Experience creating detailed requirements from use cases. - Ability to lead technical initiatives, break down work, and guide engineers through execution. - Experience writing software for embedded platforms in C and C++. - Experience with Test-Driven Development (TDD). - Experience working on embedded Linux or RTOS. - Experience with networking (Ethernet, CAN) and common networking protocols. - Experience debugging on embedded platforms. - Experience writing software in Python and automating with shell scripting. - Experience working with ARM Cortex MCUs or microprocessors. Bonus Points (not required): - Experience with large data pipelines and deterministic execution platforms. - Experience with inter-system communication protocols such as I2C and SPI. - Experience deploying Machine Learning models. - Experience working with GPUs. - Experience working with the Linux kernel or device drivers. - Experience with simulation and code generation. - Experience working with Bazel. - Experience integrating sensors including cameras, IMUs, radars, and LIDARs. - Experience with PyTorch, TensorFlow, ONNX, or other ML frameworks. Work Arrangement: Hybrid schedule with in-office time in Boston, Pittsburgh, or Las Vegas, or fully remote. Compensation & Benefits: Salary Range: $149,000—$198,500 USD (base salary). Additional compensation may include bonus or company equity. Benefits may include medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.