--- title: 'C++ Software Engineer – Motion Planning at Avride' canonical: 'https://feeny.ai/job/c-software-engineer-motion-planning-avride-austin-tzz3h3mqm0n6' type: 'job' last_seen: '2026-10-16' --- # C++ Software Engineer – Motion Planning at Avride - **Company:** Avride - **Location:** Austin, TX - **Posted:** 2025-08-20 - **Last confirmed live:** 2026-10-16 - **Apply:** https://job-boards.greenhouse.io/avride/jobs/4013017009 ## Job description ## About the team Our team develops the core software and data processing systems that power motion planning and decision-making in autonomous vehicles. We work at the intersection of machine learning, large-scale data infrastructure, and real-time vehicle control, collaborating across engineering, analytics, and product teams to deliver safe and intelligent driving capabilities. ## About the role We are seeking a highly skilled C++ Software Engineer to join our core Motion Planning team. You will be at the forefront of developing the decision-making logic that enables our autonomous vehicles to navigate the complexities of the real world safely and efficiently. If you have a passion for solving hard algorithmic problems and writing high-performance code, this is the perfect opportunity for you. ## What you'll do - Design, implement, and optimize cutting-edge motion planning algorithms in modern C++ (C++17/20) - Develop robust solutions for trajectory generation, pathfinding, and behavioral decision-making in dynamic environments - Analyze and debug system performance using simulation, log playback, and on-vehicle testing data - Collaborate closely with engineers from Perception, Prediction, and Control teams to build a cohesive and reliable self-driving system - Write clean, maintainable, and optimized production-quality code - Profile and optimize algorithms to meet real-time performance constraints ## What you'll need - Exceptional proficiency in modern C++ and a deep understanding of object-oriented design principles - Strong foundational knowledge of algorithms and data structures, particularly those relevant to robotics (e.g., graph search, computational geometry, optimization techniques) - Experience with software development tools and practices, including Git, CI/CD, and code reviews ## Nice to have - Proven success in competitive programming contests such as Google Code Jam, Hash Code, Topcoder Open, ICPC, or similar events - Professional or academic experience in robotics, specifically with motion planning - Experience with performance-critical software development, including multi-threading and memory optimization - Knowledge of machine learning techniques (e.g., reinforcement learning, imitation learning) applied to planning or decision-making problems - Solid mathematical background, including linear algebra and probability theory - Knowledge of GPU programming (e.g., CUDA, OpenCL) for accelerating algorithms ## #LS-MS1 Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available. Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai. ## About Avride ## Company Overview - **One-liner**: Avride is a developer of autonomous vehicle and delivery robot technology, providing self-driving taxi and last-mile delivery services in partnership with Uber. - **Entity Type**: Private (subsidiary of Nebius Group) - **Headquarters**: Austin, Texas, United States (additional offices in Tel Aviv, Israel; Belgrade, Serbia; Seoul, South Korea) - **Founded**: 2020 (as a spin-off from Yandex’s self-driving car group, which began development in 2017) - **Founders**: Originated from Yandex’s autonomous driving team; individual founders are not named publicly. ## Core Business - **Primary industry**: Vehicular automation, autonomous mobility, and last-mile delivery robotics. - **Target customers**: B2B (ride-hail platforms like Uber, automotive OEMs like Hyundai), B2C (riders using robotaxis via Uber app), and enterprise (restaurants and retailers using delivery robots through Uber Eats). - **Mission**: To make roads safer and more sustainable by deploying autonomous technology that never tires, gets distracted, or breaks rules. ## Products & Services - **Robotaxi Service**: Autonomous taxi fleet (based on retrofitted Hyundai Ioniq 5 vehicles) operating in a nine-square-mile area of downtown Dallas, bookable via the Uber app. As of April 2026, Avride has 200 robotaxis in service. - **Delivery Robots**: Sidewalk robots that travel at 8 km/h (5 mph), equipped with lidars, cameras, and ultrasonic sensors. Currently delivering Uber Eats orders in Austin, Dallas, and Jersey City. Over 600,000 deliveries completed to date. - **Autonomous Driver Platform**: A universal driving system (hardware and software) that can be adapted to different vehicle types, including passenger cars and delivery robots, leveraging shared technology for continuous improvement. - **Proprietary Hardware**: Custom lidars, cameras, and computational hardware designed in-house to enhance performance and redundancy. ## Market Standing - **Valuation / Market Cap**: Not disclosed (private company). - **Key Metric**: Total funding of **$425M** across two rounds: - $50M convertible note (September 2020) - $375M venture round (October 2025) — 2 investors. - **Notable Investors / Partners**: Nebius Group (parent company); strategic partners include **Uber** (robotaxi and delivery integration) and **Hyundai** (robotaxi development partnership). - **Growth Signals**: - Headcount of **283 employees** (+75.4% year-over-year). - 13,541 LinkedIn followers (+80.3% annual growth). - Over 250,000 customers have used services powered by Avride technology. - Expanded from initial testing in Austin and Seoul to live commercial operations in Dallas, Jersey City, and South Korea. - NHTSA logged 37 accidents involving Avride vehicles (as of March 2026) and opened a safety probe in May 2026 — a sign of regulatory scrutiny that often accompanies scaling autonomous fleets. ## Competitive Advantages - **Proven real‑world deployment**: Operating robotaxis and delivery robots in dense urban environments across the U.S. and South Korea. - **Unified technology stack**: The same autonomous software and hardware power both cars and delivery robots, enabling cross‑learning and faster iteration. - **Strong partnership ecosystem**: Exclusive tie‑ups with Uber (rideshare and delivery) and Hyundai (OEM collaboration) provide immediate go‑to‑market channels. - **In‑house hardware**: Custom sensors and compute units reduce dependency on third‑party suppliers and optimize performance for specific platforms. - **Safety‑first philosophy**: 360‑degree perception, redundant systems, and thousands of hours of simulation and real‑world testing. ## Strategic Focus - **Scaling robotaxi operations**: Expanding the Dallas service area and launching in additional U.S. cities in 2026–2027. - **Deepening OEM partnerships**: Collaborating with Hyundai on next‑generation robotaxis. - **Broadening delivery robot coverage**: Entering new markets with Uber Eats, including potential international expansion. - **Growing the engineering team**: Actively hiring for roles in software, hardware, simulation, and operations (14 open positions as of mid‑2026). ## Why Work Here - **Cutting‑edge autonomy**: Solve some of the hardest problems in perception, planning, and real‑time control for both cars and robots. - **Large, experienced team**: Over 200 engineers, many from Yandex’s pioneering autonomous driving group, with deep domain knowledge. - **Fast‑paced, high‑impact environment**: Work on technology used by hundreds of thousands of real customers. - **Global presence**: Offices in Austin (HQ), Tel Aviv, Belgrade, and Seoul offer opportunities for international collaboration. - **Culture of ownership**: Flat structure with small cross‑functional teams; engineers own features end‑to‑end. - **Work policy**: Not explicitly stated, but roles span on‑site (operations), hybrid, and remote‑friendly positions depending on function. ## Sources 1. [avride.ai](https://www.avride.ai/) 2. [Avride About page](https://www.avride.ai/about) 3. [Avride Careers page](https://www.avride.ai/careers) 4. [Avride LinkedIn](https://www.linkedin.com/company/avrideai) 5. 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