2 дня назад
Fullstack Engineer (AI)
209 700 - 238 250$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Fullstack Engineer (AI): Building scalable fleet-management applications, backend services, APIs, and infrastructure for autonomous vehicles with an accent on reliable deployments, vehicle telemetry, and robotaxi operations. Focus on designing distributed systems, supporting intermittent connectivity and rollback, and operating observable full-stack services across multiple vehicle configurations.
Location: Sunnyvale, California, USA; hybrid working with in-person collaboration and remote work. Relocation support and visa sponsorship are available where applicable.
Salary: $209,700–$238,250 annually, plus equity.
Company
builds an AI platform for autonomous driving, enabling vehicles to learn from real-world experience and support scalable autonomy across global OEM partners.
What you will do
- Own full-stack projects from problem definition and technical design through implementation, deployment, and production operation.
- Build reliable deployment workflows for software, AI models, and vehicle configuration, including ordering, correctness, and rollback.
- Develop services connecting autonomous vehicles with external dispatch systems for robotaxi and remote autonomous operations.
- Create APIs and web interfaces for vehicle-state visibility, diagnostics, telemetry exploration, and operational reporting.
- Partner with Product, Research, Safety, Operations, SRE, and Infrastructure teams to deliver dependable fleet systems.
- Review code, contribute to architecture and planning, mentor engineers, and improve engineering practices.
Requirements
- Experience building, shipping, and operating production full-stack applications and web services.
- Hands-on knowledge across frontend, backend, and infrastructure, with understanding of APIs, data modeling, service boundaries, and distributed-system failure modes.
- Ability to independently take ambiguous problems through technical design, delivery, and ongoing operation.
- Experience using metrics, logs, and traces to understand production behavior and guide technical decisions.
- Clear communication across engineering, product, and operational teams, along with an interest in mentoring.
- Relevant technologies include React, TypeScript, MUI, Rust, Go, Node, Kubernetes, Azure, and Bazel; prior experience with this exact stack is not required.
Nice to have
- Experience with robotics, autonomous driving, robotaxi operations, telemetry pipelines, OTA deployment, remote device management, or multi-OEM environments.
Culture & Benefits
- Hybrid work combining office collaboration with focused remote work, core hours, and access to vehicle workshops and labs.
- Meaningful equity and market-benchmarked annual compensation.
- Learning and development budgets for training, conferences, and professional growth.
- Health, dental, maternity and paternity, retirement or pension benefits where applicable, therapy access, wellbeing partnerships, and team socials.
- Relocation support and visa sponsorship where applicable.
Hiring process
- Recruiter screen followed by programming and domain interviews.
- Technical interviews covering system design, cross-team collaboration, and hiring-manager discussion.
- Final leadership and values-alignment interview.
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