Top Tech Jobs & Startup Jobs

Own product operations scalability for autonomous vehicle technology by designing processes, managing Field Ops feedback loops, validating and deploying features, monitoring KPIs, and communicating risks and progress. The role partners across Product, Engineering, Program, and Operations teams to translate operational needs into product requirements and improve deployment workflows in a rapidly changing environment.

Finance Manager supporting FP&A, investor relations, corporate development, strategy, and business operations. Responsibilities include financial planning, forecasting, modeling revenue, expenses, cash flow, costs, capital structure and M&A, performance reporting, variance analysis, FP&A system implementation, quarterly close, public company reporting, and process improvement. The role collaborates across functions and may evolve into team leadership.

Electrical Engineering Intern supporting the design, development, and testing of autonomous vehicle power systems. Responsibilities include hardware and component selection, PCB design, wiring diagrams, simulations, schematics, system integration, dataset analysis, troubleshooting, and technical presentations. The intern will complete small engineering scopes under senior guidance while collaborating across multidisciplinary teams.

Develop and improve simulation software for Kodiak’s autonomous trucking platform using C++ in a production codebase. Collaborate with engineers to solve challenging robotics and self-driving problems. Preferred experience includes AWS, modern DevOps, high-fidelity simulation frameworks, robotics fundamentals, and agent harnessing. The internship is based in Mountain View, California, runs 12–16 weeks, and begins in January 2027.

Leads vehicle hardware integration, diagnostics, repairs, upgrades, quality inspections, and fleet reliability improvements for autonomous commercial vehicles. Coordinates complex technical initiatives across mechanical, electrical, manufacturing, and vehicle operations teams. Owns design-for-manufacturing and serviceability feedback, develops vehicle and subsystem BOMs, documentation, and verification plans, and drives testing, corrective actions, and sustaining engineering for fielded products.

Develop decision-making and motion-planning algorithms for autonomous trucks, including highway merges, lane changes, and low-speed industrial driving. Interns will design robotics solutions, deploy production code on autonomous vehicles, and strengthen modern C++ skills while working with robotics engineers. The role requires strong C++ and Python, mathematics, optimization, computational geometry, and autonomous-systems motion-planning knowledge.

Develop mission planning, routing, and fault management algorithms for autonomous trucks. Interns will implement safety-critical robotics solutions, improve routing through construction zones, apply human operations commands, deploy code on real-world vehicles, and work with a production C++ codebase under mentorship from robotics engineers. The role provides hands-on experience with autonomous vehicle technology and potential full-time opportunities.

Design and implement machine learning algorithms for autonomous robotics using Python. Develop deep neural networks for end-to-end learning, 3D scene understanding, object detection, world reconstruction, and self-supervised learning. Build datasets from camera, LiDAR, and radar data; manage automated AI workflows; and support production machine learning pipelines from curation through validation. Collaborate across engineering teams and document solutions clearly.

Develop mission planning, routing, and safety-critical fault management algorithms for autonomous trucks. Interns will deploy modern C++ code to real-world vehicles, solve complex robotics problems, improve routing through construction zones, and collaborate with operations, offboard, and systems teams under mentorship from robotics engineers.

Develop and validate high-fidelity simulations of articulated truck dynamics, model coupled tractor-trailer interactions and environmental effects, analyze simulation vs. on-road data, evaluate controller performance, and contribute to safety cases for driverless operation.