Staff Software Engineer, ML Tooling and Infrastructure at Boston Dynamics

Waltham, Minnesota, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, AI, Machine LearningIndustries

Requirements

6+ years of professional experience designing, building, and maintaining production Python applications
Proven experience deploying and optimizing neural network models in production or real-world environments
Deep expertise with modern software development practices: build systems (like Bazel or Pants), monorepos, Docker, and Python packaging
Strong familiarity with the ML ecosystem, including PyTorch, ONNX, and inference servers like NVIDIA Triton
Hands-on experience implementing distributed (multi-GPU, multi-node) training on a compute cluster
Proficiency with production-grade database systems (e.g., PostgreSQL), ORMs, and data orchestration tools (e.g., Airflow)

Responsibilities

Architect and refactor Python-based training and inference infrastructure, improving its quality, performance, and scalability
Implement comprehensive testing, champion best practices for code quality, and build automated CI/CD pipelines for reliable deployment and validation
Design, build, and operate MLOps infrastructure for behavior models, focusing on reliability, reproducibility, and speed from training to deployment
Develop tools and dashboards for data collection, analysis, and visualization to enable data-driven decisions
Design and maintain scalable data pipelines for ingesting, processing, and versioning massive datasets from the robotics fleet
Improve and maintain tooling for on-robot and off-robot model inference, focusing on latency, throughput, and efficiency
Collaborate with central infrastructure teams to optimize shared resources (e.g., compute clusters) and drive organization-wide improvements

Skills

Python

MLOps

CI/CD

Data Pipelines

Model Inference

Dashboards

Testing

Scalable Infrastructure

Data Analysis

Compute Clusters

Boston Dynamics

Develops advanced robots for industrial applications

About Boston Dynamics

Boston Dynamics creates advanced robots that enhance human capabilities and safety, focusing on legged robots with high mobility, dexterity, and intelligence. Their flagship products, Spot and Pick, are designed for commercial, industrial, and research applications, performing tasks that are dangerous or physically demanding for humans. Spot, for example, is a 65-pound robot that can navigate complex terrains and avoid obstacles autonomously using built-in AI. Unlike many competitors, Boston Dynamics emphasizes responsible use of their robots, limiting sales to commercial and research clients and ensuring high-quality standards through domestic manufacturing. The company's goal is to improve safety and efficiency across various industries while exploring future consumer applications.

Waltham, MassachusettsHeadquarters

1992Year Founded

$38.8MTotal Funding

ACQUISITIONCompany Stage

Robotics & Automation, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Remote Work Options

Flexible Work Hours

Risks

Competition from affordable Chinese robotics could pressure market share and pricing.

Layoffs indicate potential financial or strategic challenges impacting future innovation.

Collaboration with multiple stakeholders may lead to strategic misalignments.

Differentiation

Boston Dynamics excels in creating robots with advanced mobility and dexterity.

Their robots are designed for unstructured environments, enhancing workplace safety and efficiency.

Spot and Atlas are pioneering robots in digital transformation and mobile manipulation.

Upsides

Collaboration with Toyota and Hyundai boosts AI-powered humanoid robot development.

Patent resolution with Ghost Robotics opens collaboration on robotics policy and technology.

AI advancements in Atlas position Boston Dynamics as a humanoid robot market leader.

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