Top Tech Jobs & Startup Jobs

Lead design and implementation of multi-modal perception: object detection, tracking, and sensor fusion. Build data pipelines, train and optimize perception models, develop scalable training/evaluation tools, and integrate systems for real-world autonomous vehicle deployment.

Design and implement real-time sensor fusion, GPS-IMU fusion, and SLAM-based localization and odometry algorithms for autonomous vehicles. Integrate localization with perception, mapping, and control, validate in simulation and real-world tests, optimize for real-time constraints, and debug using large-scale field data to improve robustness and accuracy.

Design, build, and operate scalable data ingestion, CI/CD, and deployment infrastructure for a growing autonomous vehicle fleet. Implement IaC, containerized deployments, ETL pipelines, simulation integration into CI, and coordinate on-board software upgrades and site rollouts to enable reliable AV software development and production deployments.

Design and implement identity and SaaS integration solutions: build Zero-Touch automated onboarding/offboarding, enforce RBAC and least-privilege, run access reviews for SOC2/ISO 27001, integrate SaaS via SAML/OIDC/SCIM, deploy IGA tooling (Lumos/IdenHQ), and automate workflows with Zapier, Python or PowerShell across a 50+ tool SaaS stack.

Design, implement, and optimize real-time visual odometry and visual-inertial localization pipelines in modern C++ for autonomous vehicles. Integrate camera-based VO with IMU/GPS/other sensors, collaborate with mapping/perception/control teams, analyze and improve system robustness in diverse conditions, mentor engineers, and transition research into production.

Design, execute, and document test plans for autonomous driving subsystems. Develop automation and test scripts in Python/C++, use ROS1/ROS2 and rosbag tooling, interface with vehicle CAN, calibrate and verify sensors, perform track and public-road testing, analyze logs, and maintain audit-ready test documentation and test infrastructure.

Operate, monitor, and scale on-prem and cloud infrastructure for an autonomous vehicle fleet. Manage data offload systems, CI environments, deployments, ETL/BI pipelines, dashboards, and performance optimization to ensure reliability, security, and operational efficiency.

Lead development of a web-based simulation platform: build React/TypeScript frontend with 3D visualization (Three.js/WebGL), design scalable REST and WebSocket backends, manage PostgreSQL and time-series logs, integrate Grafana/Prometheus, orchestrate Docker/Kubernetes simulation workers on Azure, and optimize browser rendering for smooth high-frequency simulation playback.

Design, implement, and integrate real-time, mission-critical control and optimization software for autonomous trucks. Collaborate with research and cross-functional teams to develop, test, validate, prototype (SiL/HiL), tune, and deploy controllers, participate in in-vehicle testing, and support data visualization and integration with planning, localization, DBW, and testing systems.

Partner with engineering leaders to execute full-cycle technical recruiting for hardware and software roles. Source, screen, coordinate interviews, negotiate offers, and build candidate pipelines. Improve hiring workflows, provide market and compensation insights, and enhance candidate experience to scale high-performing engineering teams in a fast-paced autonomous vehicle startup.