Top Tech Jobs & Startup Jobs

Design and deploy object detection and tracking modules; develop ML algorithms; guide team members; improve data governance and quality assessment.

Designs and executes vehicle- and software-level test plans for autonomous trucks, collects and analyzes test data, performs root-cause analysis, implements data acquisition and automation systems, supports CI/CD and software development in Linux (C++ and scripting), and conducts on-road testing and reporting to improve system safety and performance.

Lead vehicle-level testing and software engineering for autonomous trucks: generate and execute test plans, analyze data, perform root cause analysis, develop test instrumentation and CI/CD tooling, execute on-road observer/annotator duties, and collaborate with product and engineering teams to improve safety and system performance.

Embed with one or two Autonomy teams to enable large-scale replay/recompute workflows: implement data flows, onboard models, ensure metric evaluation and visualization adoption, debug full-stack issues, document workflows, and translate team feedback into simulation platform improvements.

Lead and grow the Offline Perception team building auto-labeling pipelines and offline perception training/evaluation. Own roadmap, architecture guidance, data pipeline and infrastructure strategy, stakeholder alignment, quality/process improvements, and hiring/mentoring to deliver production-grade multi-modal perception training data to downstream teams.

Build and maintain AWS-based data pipelines and Python services that process vehicle telemetry and validation data. Compute safety and performance metrics, support release validation and automated testing pipelines, investigate pipeline failures and data anomalies, collaborate with cross-functional teams, and contribute to statistical analysis and reporting to ensure autonomous truck safety and reliability.

Design, build, and operate data infrastructure and pipelines that ingest large-scale vehicle sensor logs into cloud storage, curate datasets and labeling workflows for ML training, deploy visualization tooling for log review and QA, implement validation/monitoring and data lifecycle policies, and collaborate with autonomy teams to define data contracts and support model training and evaluation.

Lead the Scene Generation team to define technical vision and roadmap for neural rendering and generative models. Turn research (NeRF, 3D Gaussian splatting, diffusion/flow models) into production-quality camera/LiDAR/radar sensor simulation, own framework end-to-end, integrate and scale pipelines in cloud/VDI environments, drive cross-team alignment, and mentor/hire engineers.

Entry-level role supporting design, testing, and implementation of secure ECU architectures. Assist with security requirements, supplier coordination, threat analysis (TARA), in-vehicle network security (CAN, CAN-FD, LIN, Ethernet), hands-on verification, code analysis, and compliance with automotive cybersecurity standards (ISO/SAE 21434, UN R155/R156).

Lead SOTIF evaluations and safety assessments for autonomous trucking systems. Identify functional insufficiencies, perform risk analyses, derive safety requirements, define V&V strategies, and collaborate with systems, AI-ML, and software teams to ensure compliance with SOTIF/functional safety standards and safe deployment.