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Project description This opening is for an ADAS Domain Controller project for a prestigious OEM, where Luxoft is working with the OEM teams to deliver next-generation Platform solution based on AUTOSAR Classic, AUTOSAR…
We are seeking a Strategic Account Manager to lead complex commercial engagements with leading automotive OEMs and Tier 1s in the ADAS ecosystem to join our dynamic Sales team. This role included managing long cycle,…
About the role We are moving from one autonomous vehicle program to a family of them, and every one of those vehicles has to be proven safe, reliable and manufacturable before a customer drives it. Today our systems…
A senior individual contributor (TC4) or manager (M4) on Wayve's AI Validation team in London, defining validation strategies, test scenarios, metrics and acceptance criteria for ADAS/L2 autonomy, and building evaluation pipelines with Python, SQL, and simulation and physical test environments to support safety and release decisions.
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people…
Wayve is hiring an Automotive Systems Engineer in Sunnyvale to define requirements, system architecture, and validation for its end-to-end AI autonomous driving (L2+/L3 ADAS) technology as it integrates into OEM production vehicles. The role blends requirements-based development, vehicle hands-on testing, and customer collaboration using tools like Jama/DOORS, MATLAB/Simulink, C/C++, and Python.
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our…
Woven by Toyota is hiring a Software Engineer II to build and tune safety and quality tooling (fault injection, traceability, static analysis, coverage) for AD/ADAS software, integrated into CI pipelines. Core stack: C/C++, Python, shell scripting, Bazel, Git, and Linux.
Builds and operates petabyte-scale batch and streaming data pipelines, versioned reproducible datasets, and data-quality/lineage systems that underpin Wayve's self-driving AI, partnering with autonomy, ML, simulation and safety teams. Core stack is Python, SQL, distributed processing (Spark/Flyte/Airflow) and cloud object storage.
Develop embedded C++ software for radar, lidar, and IMU sensors as part of Latitude AI's autonomous driving system, collaborating with hardware engineers and mentoring junior developers.
The role The ADAS Performance Manager plays a critical role in enabling the success of dealerships, fleet operators, and collision repair centers by providing expert insights and training on ADAS calibration,…
Position Summary Regional Fleet Manager – AV/EV Segment Location – On-Site (Regionally based depending on market) – San Francisco, CA Travel - 25% Amerit Fleet Solutions is seeking an experienced Regional Fleet Manager…
We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At…
Systems engineer at the Rivian–Volkswagen joint venture who end-to-end owns vehicle motion control features (traction control, AWD, torque vectoring): defining requirements and architecture, allocating functions across zonal/brake ECUs, specifying CAN FD/FlexRay/Ethernet signals, authoring Python HIL tests, and debugging to the signal level under ISO 26262.
Senior Systems Engineer II at May Mobility in Ann Arbor designs and validates autonomous vehicle capabilities, defining system requirements, building simulation test suites, and analyzing real-world data to improve AV safety and performance.
Lead a data-science team at an AV company, turning fleet, simulation, and ML data into safety metrics, release criteria, and autonomy-stack improvements for real-world transit deployments.
Develops safety and comfort metrics to evaluate autonomous vehicle performance, building ML and non-ML models and analyzing large-scale real-world drive logs and simulation data to detect unsafe or anomalous driving. Core tools: Python, SQL, Pandas, NumPy, Spark; on-site in Ann Arbor.
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