← Back to results

Senior Perception Engineer

Join Pronto AI as a Senior Perception Engineer to develop systems for autonomous machines to understand and interact with the physical world.

Location
San Francisco, CA, United States
Compensation
$208k–$245k/yr
Level
senior
Type
full time · On-site

Posted by employer 2 days ago

First seen on Joblaze 1 day ago

Last verified on the company career page 1 day ago

Apply at Atoms → Save job Scanned from atoms.co

What you'll build

  • Develop perception systems for autonomous machines
  • Design, train, and deploy machine learning models
  • Build systems for 3D perception
  • Develop multi-sensor fusion approaches
  • Optimize perception models for deployment

Must have

  • 3-5 years of relevant experience
  • Strong software engineering skills in Python and/or C++
  • Experience developing perception systems for autonomous vehicles
  • Experience with camera, LiDAR, radar, IMU
  • Experience deploying ML models into real-time systems

Nice to have

  • Publications in computer vision or related fields

Practical constraints

  • Onsite, five days a week

Requirements

Experience
3–5 years

Not disclosed in this posting: visa sponsorship.

Benefits

401k Match Unlimited PTO Equity/Stock Options Health Insurance Parental Leave

Joblaze summary

In the role of Senior Perception Engineer, the individual will focus on developing systems that enable autonomous machines to interpret and interact with their environments. Key skills include expertise in computer vision, machine learning, and software engineering, particularly in Python and C++. This position is ideal for someone with 3-5 years of experience in perception systems, especially within the context of autonomous vehicles or robotics. The team emphasizes collaboration and innovation, working closely with various engineering disciplines to enhance real-world applications.

Joblaze insights

  • Listed yesterday — first seen on Joblaze October 1, 2026. Last confirmed on Atoms's careers page October 1, 2026.
  • Salary band is in line with the typical range for AI/ML roles (median ~$190,000).
  • Starts above 72% of 200 comparable senior ai/ml roles in United States that list Python we track (median $180,000 across 70 companies). See Python salary trends
  • Python appears in 52.3% of 532 comparable senior ai/ml roles in United States; LiDAR appears in 0.6% of 532 comparable senior ai/ml roles in United States.

Quick facts

Is the Senior Perception Engineer role remote?
No — this is an on-site role in San Francisco, CA, United States.
What's the salary range?
Atoms lists $208,000–$245,000 for this role.
How much experience is required?
3–5 years of relevant experience for this Senior Perception Engineer role.
Where is the role based?
Atoms is hiring for this position in San Francisco, CA, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: C++, Computer Vision, IMU, LiDAR, Machine Learning, Python.
What seniority level is this role?
Atoms targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Perception Engineer role at Atoms.

From the original posting

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.

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.

#LI-Onsite

Standard company text repeated across Atoms's postings is omitted here.

Similar positions

Atoms
Atoms
Senior Robotics Planning Engineer
Atoms · San Francisco, CA
Atoms
Robotics Lead
Atoms · San Francisco, CA
Atoms
Software Engineer - Networking
Atoms · San Francisco, CA
Atoms
Senior Robotics Controls Engineer
Atoms · San Francisco, CA