3 дня назад
Fullstack Engineer (AI)
209 700 - 311 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Fullstack Engineer (AI): Building search, scenario-mining, and agentic evaluation tools for autonomous-driving AI, with an accent on scalable fullstack systems, high-performance APIs, and large-scale data processing. Focus on taking scenario-mining frameworks from prototype to production, enabling end-to-end evaluation workflows, and maintaining reliable software used across the AI Driver development loop.
Location: Sunnyvale, California, USA; hybrid working model with in-person office collaboration
Salary: $209,700–$311,400 base salary, plus $330,459–$519,534 equity
Company
develops an AI platform for autonomous driving that learns from real-world experience and supports scalable vehicle automation.
What you will do
- Build fullstack features for search, scenario mining, agentic tooling, and web applications used to curate scenarios and create test suites.
- Work with model developers and researchers to identify pain points and define measurable success criteria.
- Take scenario-mining capabilities from prototype to production scale.
- Extend agent tooling to run evaluation workflows end to end.
- Work with Databricks, Spark, and large-scale data systems.
- Own the reliability, performance, maintainability, and architecture of shipped software.
Requirements
- Strong development skills in Python, TypeScript, JavaScript, and React or similar frontend frameworks.
- Strong SQL skills, including database design and optimization.
- Experience building production-level fullstack systems and reliable, high-performance APIs.
- Experience creating robust, maintainable systems using engineering best practices.
- Strong communication and collaboration skills, including effective work across time zones.
- Ability to work independently in a fast-paced, ambiguous environment and use AI development tools to build AI-augmented workflows.
Nice to have
- Experience with search, embeddings, or retrieval systems.
- Experience with Databricks, Spark, or similar large-scale data-processing platforms.
- Experience with Flyte or other job-orchestration frameworks.
- Experience building agentic or LLM-powered developer tools, including MCP servers.
- Experience building tools for ML, robotics, infrastructure, scientific visualization, or complex data interfaces.
Culture & Benefits
- Hybrid work with core hours and opportunities to work in vehicle workshops and labs.
- Learning and development budgets for training, conferences, and professional growth.
- Meaningful equity participation.
- Health and dental insurance, enhanced parental leave, retirement or pension benefits where applicable, therapy access, wellbeing partnerships, and team socials.
- Relocation support and visa sponsorship where applicable.
Hiring process
- 30-minute recruiter screen.
- Programming and hiring-manager interviews lasting approximately two hours total.
- Systems and domain-specific technical interviews lasting approximately two hours total, followed by a 45-minute mission and values interview.
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