- Location
- San Francisco, CA
- Level
- Senior
- Posted
- 29 September
About this role
Who we are
Pronto AI is a global leader in commercializing autonomous vehicle (AV) technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide. While much of the industry remains in R&D, we deliver real, production-ready autonomy that is already operating in the field.
We are on a mission to make mining operations safer, smarter, and more efficient through cutting-edge technology, and we are building toward becoming the world’s first profitable AV technology company.
What you'll do
We are seeking a Perception Engineer to develop the systems that enable our autonomous machines to understand and interact with the physical world.
You will work on perception problems at the intersection of computer vision, machine learning, robotics, and autonomous systems, building models and systems that transform real-world sensor data into reliable representations of the environment.
Depending on your background and area of expertise, you may:
- Design, train, and deploy machine learning models for perception in autonomous systems.
- Develop algorithms for object detection, classification, segmentation, tracking, and scene understanding.
- Build systems for 3D perception and geometric reasoning using cameras, LiDAR, radar, or other sensors.
- Develop approaches for multi-sensor and multi-modal fusion, combining complementary sensor information into robust representations of the environment.
- Build temporal models that reason about objects, motion, trajectories, and changes in the environment over time.
- Improve perception performance across challenging real-world conditions, including occlusion, sensor noise, changing environments, and edge cases.
- Develop data, training, evaluation, and experimentation pipelines that accelerate perception development.
- Define metrics and evaluation methodologies that connect offline model performance to real-world system behavior.
- Optimize perception models and systems for deployment on resource-constrained or latency-sensitive robotic platforms.
- Investigate failures observed in deployed systems and translate those findings into improvements across models, data, and architecture.
- Collaborate closely with AI Research, Robotics, ML Infrastructure, Software, Hardware, and Systems Engineering teams.
What we're looking for
- 3-5 years of relevant experience working with perception systems and computer vision & machine learning models.
- Strong software engineering skills in Python and/or C++.
- Experience developing perception systems for autonomous vehicles, robotics, drones, industrial automation, or other embodied systems.
- Experience with camera, LiDAR, radar, IMU, or other robotic sensor modalities.
- Experience with multi-modal or multi-sensor architectures.
- Knowledge of 3D geometry, coordinate transformations, calibration, localization, or state estimation.
- Experience deploying ML models into real-time or safety-critical systems.
- Experience optimizing models for latency, compute, memory, or power constraints.
- Experience working with large-scale perception datasets and training infrastructure.
- Experience diagnosing long-tail failures and improving production perception systems through data-driven iteration.
- Experience taking research ideas from experimentation through deployment on physical systems.
- Publications or significant research contributions in computer vision, machine learning, robotics, or related fields are a plus, but not required.
Why join us
- Work on real, production-deployed autonomy.
- Build technology that directly improves safety, efficiency, and productivity.
- Tackle complex challenges in demanding, real-world environments.
- Be part of a fast-moving team with high ownership and impact.
- See your work deployed and making a difference in the field.
- Collaborate closely with experienced engineers and industry operators.
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 $208,000 - $245,000 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.
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.
Pronto accepts applications on an ongoing basis.
Ready to join us as we serve those who serve others?
#LI-Onsite
As published by Atoms. Applications are handled on their site.
Skills this posting mentions
About Atoms
Atoms builds physical automation to transform industry and move the world. Everything in our civilization is mined, grown, manufactured, and moved. Atoms develops the robotics, software, and infrastructure that automate these physical systems. Atoms Food: Infrastructure for better food. Atoms Mining: More productive mines to power Earth’s industries. Atoms Transport: Wheelbase for robots. Together, these systems form a new class of computation for the real world - machines that sense, predict, and act in physical environments to make industry more productive, reliable, and scalable. Atoms build the progress machines that power the next era of human advancement.
All 335 openings at AtomsOne click, then it is written
Apply to Atoms with a resume written for this role.
Queue Senior Perception Engineer and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Atoms’s form for you.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- 25 sent a week, free
- No card
- Nothing sent until you say so
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Put this to work
Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
500 free credits on sign-up. No card. Nothing is sent until you say so.
Listed from the job board Atoms publishes. Refolk is not the employer and does not handle their hiring. Applications go to Atoms directly.