Engineering Manager - Autonomy Data
$60k - $300k • Sunnyvale • FullTime
Posted 1y ago
Job Location
Sunnyvale
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
As an Engineering Manager on the Autonomy Data team, you will lead a team of engineers focused on revolutionizing how high-quality data is produced, curated, and leveraged to accelerate autonomy development. Your team will focus on Data Quality, Labeling Workflows, and Data Mining, building systems to measure, validate, and improve dataset integrity, designing intelligent annotation pipelines, and surfacing rare driving scenarios from fleet data. You will drive the adoption of foundation models and cutting-edge AI techniques to scale these capabilities, setting technical direction and team goals aligned with model development, safety, and deployment milestones.
Responsibilities
- Grow and manage a team of engineers to deliver high-quality, well-labeled data and identify critical edge cases for autonomy.
- Prioritize development across data quality systems, intelligent labeling workflows, and large-scale data mining infrastructure.
- Lead the integration of foundation models (LLMs, VLMs, and multimodal models) to automate and enhance labeling, quality assurance, and data discovery.
- Evolve data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles.
- Set team goals and roadmap in alignment with training, evaluation, and deployment requirements.
- Partner with research, autonomy, and data infrastructure teams to ensure high-quality, relevant, and diverse data powers models.
- Drive hiring, mentoring, and growth for a high-performing, mission-driven team.
Requirements
- 3+ years of engineering management experience.
- Passion for building and leading high-performing teams.
- Experience building data quality systems, labeling pipelines, or annotation platforms at scale.
- Familiarity with modern ML infrastructure and data-centric AI approaches.
- Understanding of how foundation models can be applied to automate data workflows.
- Solid track record of building and deploying products.
Benefits
- Base salary
- Equity (options and/or restricted stock units)
- Comprehensive health, dental, vision, life and disability insurance coverage
- 401k retirement benefits with employer match
- Learning and wellness stipends
- Paid time off