Top Tech Jobs & Startup Jobs

Build and maintain full‑stack web applications and APIs for data and simulation platforms. Design relational data models, backend Python services, async jobs, and React/TypeScript frontends. Implement tooling for scenario authoring, large-scale simulation runs, results browsing, and shared platform foundations (auth, access control, multi‑tenancy). Ensure production reliability, deployment, testing, observability, and compliance with the company Quality Management System.

Design and scale simulation infrastructure and AI agentic workflows to analyze large-scale simulation results, improve simulation-to-reality fidelity, and validate autonomous vehicle systems. Architect pipelines, metrics, and evaluation frameworks; collaborate with cross-disciplinary teams to reproduce and resolve real-world issues and ensure quality and regulatory compliance.

The role entails integrating and optimizing on-vehicle AD systems, collaborating on diagnostics and vehicle platform integration, while conducting on-site testing.

Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs; benchmark models on large-scale datasets; collaborate with research, data, and deployment teams to ensure performance, robustness, and scalability; and maintain QMS compliance and quality/process improvements for production deployment.

As a Senior ML Infrastructure Engineer, you will design scalable architectures for ML, build robust data pipelines, manage GPU clusters, and drive improvements in CI/CD workflows while collaborating with cross-functional teams.

As a Senior Research Engineer at PlusAI, you will develop AI-based controls, design control algorithms, and enhance vehicle performance while collaborating with various experts. Your role involves real-time model development, testing, and employing machine learning techniques for autonomous vehicle systems.

Develop and optimize core infrastructure for autonomous driving. Focus on low-latency execution, component health monitoring, and system performance improvements.

Build and maintain high-throughput C++ recording systems and Python data services for vehicle sensor and telemetry data. Work on data transfer, ingestion, validation, format/versioning, indexing, compression, and efficient access for replay, analytics, and ML while operating under vehicle resource constraints and contributing to quality management.

Build and operate production Kubernetes-based compute platform for large-scale data and ML workloads. Improve cluster reliability, GitOps delivery, multi-tenant scheduling, resource isolation, GPU workload orchestration, and reusable batch/workflow systems for petabyte-scale processing while contributing to QMS and continuous improvement.

Lead and scale the simulation and verification platform for autonomous trucks: manage simulation infrastructure, CI/CD, data pipelines, scenario generation, team hiring/mentoring, and cross-functional integration to support testing and validation of AV systems.