Senior Software Engineer - Machine Learning Infrastructure

Atoms; San Francisco (CA); On-site; USD 176,000 - 230,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k)

Flexible Spending Accounts

Time Off policies including vacation and parental leave

Job summary

Atoms, based in San Francisco, is seeking a Software Engineer to join our Machine Learning and AI Infrastructure team. You will build and maintain software for managing ML technologies, enabling data scientists to optimize their workflows. Ideal candidates have a strong programming background, enthusiastic learning approach, and enjoy working collaboratively in innovative environments.

The role offers a competitive salary ranging from $176,000 to $230,000 per year, alongside a comprehensive benefits package including medical, dental, vision, and flexible spending accounts.

Qualifications

• 3+ years of experience as a software engineer.
• Ability to work independently in a fast-paced environment.
• Comfort with multiple programming languages.

Responsibilities

• Work on Machine Learning and AI Infrastructure team.
• Build and maintain software for the ML stack.
• Conduct research on latest innovations in Machine Learning.

Skills

Proficiency in Python

Proficiency in Java

Experience in cloud environments (Azure, GCP)

Familiarity with Docker and Kubernetes

Ability to work independently

Background in data infrastructure

Enthusiasm for learning new codebases

Job description

Who We Are

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.

What You’ll Do

• 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.

What We’re Looking For

• 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.
• 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.
• 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.
• 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.

Why join us

At Atoms, you’ll work on one of the defining challenges of our time—bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what’s known and building what doesn’t yet exist. The work is ambitious and often challenging, but it’s grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team—so we invest in both, creating an environment where you can do your best work and grow.

What Else You Need To Know

This role is based in our San Francisco office location. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office‑based teams work onsite, five days a week.

The base salary range for this role is $176,000 - $230,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance‑based bonus.

Benefits Summary (USA Full‑Time Exempt Employees)

• 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).
• Time Off policies:
  • Discretionary vacation days
  • 8 paid holidays per year
  • Paid sick time
  • Paid Bereavement leave
  • Paid Parental Leave

Benefits Are Subject To Change At The Company's Discretion.

Atoms accepts applications on an ongoing basis.

Ready to join us as we serve those who serve others?