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Salary
$176k – $240k per year
Location
In office (San Francisco)
Seniority
Senior · 7+ years exp
Employment
Internship
Overview
Company
Impact
Profile match
Pronto.ai is an autonomous vehicle technology company headquartered in San Francisco, California, and founded in 2018 by Anthony Levandowski. The company builds camera based autonomy that retrofits onto heavy haul trucks, aimed at off road industrial sites rather than public roads. It deploys its systems in quarries and mines, where autonomous haulage runs on fixed routes under controlled site conditions.

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

We're looking for a Robotics Controls Engineer to develop and maintain the core control systems that enable autonomous haul trucks to operate safely in mining environments. You'll work on localization, path following, longitudinal control, and steering systems that run on 200+ ton vehicles. Responsibilities include the following: 

  • Design, implement, and tune control algorithms for autonomous vehicle systems
  • Build Localization & State Estimation, Longitudinal Control, Lateral and Control Navigation. 
  • Develop state estimation pipelines that fuse multiple sensor modalities
  • Analyze system performance through simulation and field testing
  • Debug control issues using logged data and identify root causes
  • Collaborate with perception, planning, and hardware teams to integrate control systems
  • Write production-quality Python code that runs reliably and efficiently
  • Travel note: This role requires periodic travel to customer sites (up to 15%)
  • Schedule note: Some schedule flexibility may be required during deployments

What we’re looking for

  • BS/MS/PhD in Robotics, Mechanical Engineering, Aerospace Engineering, Electrical Engineering or related field required
  • 7+ years of professional (non-internship) software development experience
  • Strong foundation in classical control theory (PID, lead/lag compensation, stability analysis)
  • Experience with state estimation (Kalman filters, EKF/UKF)
  • Proficiency in Python and NumPy/SciPy for numerical computing
  • Understanding of vehicle dynamics and kinematics
  • Ability to read and debug real-time control code
  • Experience deploying localization and controls algorithms on real-world systems
  • Experience with Model Predictive Control (MPC)
  • Familiarity with path following algorithms (Stanley, Pure Pursuit)
  • Background in signal processing and filter design
  • Knowledge of system identification techniques
  • Experience with heavy equipment or off-highway vehicles
  • Knowledge of CAN bus and vehicle interfaces
  • ROS or similar robotics middleware experience
  • Familiarity with modern ML techniques for controls problems

Technical Environment

  • Languages: Python (primary), C++ (optimization-critical paths)
  • Libraries: NumPy, SciPy
  • Hardware: NVIDIA Jetson, GPS/RTK, IMUs, CAN interfaces
  • Testing: Field testing on haul trucks, log replay, simulation

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 - $240,000 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, Vision, Disability, and Life Insurance
  • Flexible Spending Account / Health Savings Account Options
  • 401(k)
  • Equity
  • Sick Time, Unlimited Flexible Time Off, and Paid Holidays
  • Paid Parental Leave 
  • Pre-Tax Commuter Benefit Plan
  • Team lunch in our SoMa office every Tuesday and Thursday

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? 

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