Boston Dynamics
Senior Engineering Manager, ML Platform
$198K–$300K
Waltham Office (POST) · Manager · Full-time · Posted Jun 9, 2026
- Experience
- 7–12 years of engineering experience, including at least 2–3 years in a formal management or tech lead capacity.
About the job
Leads and contributes hands-on to the ML platform’s infrastructure, data systems, shared tooling, architecture, and team growth.
What you'll do
- Set strategy and build scalable GPU compute infrastructure, distributed training clusters, and data platforms.
- Make architectural decisions and develop shared libraries and frameworks that improve ML team workflows.
- Hire, mentor, and manage the team while establishing durable processes and partnering with research, data, and product teams.
What they ask for
- At least 2–3 years in a formal management or tech lead capacity.
- Experience building or scaling a platform, infrastructure, or ML systems team from the ground up.
- Technical credibility in GPU/distributed compute infrastructure, large-scale data storage and retrieval, or data pipeline frameworks.
- Experience making foundational architectural decisions in an early-stage or greenfield environment.
Nice to have
- Familiarity with Kubernetes, Slurm, or Ray.
- Experience with ML training workflows, dataset generation pipelines, or feature stores.
Pay
USD $198,000.00 to $300,000.00 annually (base salary)
Tools
Kubernetes, Slurm, Ray, GPUs, TPUs
AI focus
Builds and leads the platform infrastructure and data systems supporting machine learning training, fine-tuning, and dataset generation.
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