Top Tech Jobs & Startup Jobs

The role involves designing frameworks for autonomy evaluation, implementing performance measurement methodologies, and developing analytical models for self-driving technologies. The applied scientist will collaborate with cross-functional teams, prototype analyses, and ensure rigorous evaluation standards are met.

Lead the financial close process, manage consolidations, ensure accurate US GAAP reporting, automate accounting tasks with AI, and support audits.

Develops and executes autonomous vehicle test plans on closed courses and public roads. Responsibilities include preparing test vehicles, coordinating engineers and resources, evaluating vehicle performance, operating actor vehicles, generating test reports, maintaining vehicle systems and records, and supporting safe test operations. Requires experience with vehicle dynamics, autonomous vehicle hardware and software, systems engineering workflows, requirements verification and validation, Linux, and Python or MATLAB.

Develop and execute autonomous vehicle test plans on closed courses and public roads. Coordinate engineers, drivers, vehicles, schedules, and testing resources; prepare vehicles; evaluate performance; produce detailed reports; and support inspections, maintenance, and record-keeping. The role requires vehicle dynamics and autonomous vehicle systems expertise, data analysis skills, systems engineering and verification experience, strong communication, flexible hours, and travel availability.

Execute firmware and electrical verification and validation for autonomous vehicles, including requirements traceability, DVP&R testing, HIL benches, regression automation, environmental and compliance testing, root-cause analysis, and certification management. Collaborate with engineering, quality, systems, OEMs, suppliers, and laboratories while developing V&V processes, tooling, documentation, and test infrastructure aligned with automotive standards.

Own mechanical verification and validation for autonomous vehicles, including requirements decomposition, DVP&R planning, functional and environmental testing, fixture development, troubleshooting, root cause analysis, and corrective actions. Lead compliance testing and certification against automotive and safety standards, coordinate accredited laboratories, maintain certification documentation, and develop mechanical V&V processes, lab capabilities, and toolchains. Collaborate with design, systems, quality, software, OEMs, and suppliers.

Lead design, deployment, and maintenance of high-performance networks, compute and storage clusters. Implement security and incident response, automate server and network provisioning (Ansible/Terraform), manage Linux server fleet, support engineering and hardware teams, and coordinate facility infrastructure. Onsite role requiring physical handling of equipment.

Hands-on engineer supporting vehicle compute, networking, on-prem servers and storage for an autonomous fleet. Implement OS/software delivery, diagnostics, high-volume data pipelines, tooling, and collaborate across hardware, software, IT and fleet teams. Participate in on-call support.

Define verification plans and test methodologies for embedded platform components. Develop and maintain HIL/SIL test infrastructure, automate test execution and reporting, design tests to verify system functionality and performance, analyze data with Python/Matlab, and collaborate with partners to validate a safe autonomous driving platform involving sensors, compute, ECUs, and actuators.

As a Research Engineer in Sensor Simulation, you will develop multi-sensor rendering systems for self-driving technologies, collaborate with scientists and engineers, and work on innovative solutions using machine learning and neural rendering techniques.