Senior Software Engineer - Machine Learning Infrastructure - San Francisco, CA
About The Position
Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We’re changing that. Atoms builds Physical AI— real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don’t just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life. If you want to work on hard problems with real-world impact, join us.
Requirements
- 3+ years of experience as a software engineer, and the ability to work independently in a fast-paced, dynamic environment, taking initiative to drive results.
- Proficiency in Python and Java programming languages. We’re looking for engineers who are comfortable with multiple languages and have experience building scalable high-performance systems
- Familiarity with Azure and GCP cloud environments, and deployment tools such as Docker and Kubernetes
Nice To Haves
- Background in data infrastructure, platform infrastructure or ML infrastructure is preferred.
- Enthusiastic about learning new codebases, and making changes in large complex systems safely and efficiently.
- Experience in real estate, food technology, or related industries is a bonus, though not required. A passion for solving complex problems in these sectors is key.
Responsibilities
- Work on the Machine Learning and AI Infrastructure team, which is focused on providing infrastructure for data scientists and other engineers to use ML and AI technologies effectively.
- Build and maintain software and tools for classical ML stack which helps data scientists manage full training lifecycle from data collection, data preparation, training, deployment and model serving.
- Build and maintain software and tools which enable efficient and effective use of GenAI (LLM) technologies.
- Do background research on latest innovations in the Machine Learning space and bring back insights to apply within the team.
Benefits
- Medical, dental, and vision insurance (multiple plans, incl. HSA options).
- Company-paid life and disability insurance (short- and long-term).
- Voluntary insurance: accident, critical illness, hospital indemnity.
- Optional supplemental life insurance for self, spouse, and children.
- Pet insurance discount.
- 401(k).
- Health Savings Account (HSA)
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Discretionary vacation days
- 8 paid holidays per year
- Paid sick time
- Paid Bereavement leave
- Paid Parental Leave
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
