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Senior Autonomous Driving Engineer Jobs in Manvel, TX

Bot Auto

Senior ML/RL Engineer, Behavior Planning

Houston, TX · On-site

$99K - $137K/yr

... a Senior ML/RL Engineer to develop their unified behavioral architecture. This role involves ... validate our autonomous driving stack. • Safety-Constrained Learning: Lead the research and ...

Bot Auto

Intern, Deep Learning Engineer

Houston, TX

$14.25 - $19/hr

Own a targeted research project from data analysis to model verification under senior mentorship ... Autonomous Driving . * Track Record: Publications or submissions at top conferences (e.g., CVPR ...

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

Own a targeted research project from data analysis to model verification under senior mentorship ... Autonomous Driving. * Track Record: Publications or submissions at top conferences (e.g., CVPR ...

Bot Auto

GPU Engineer

Houston, TX

You would collaborate with software engineers, AI researchers, and hardware specialists to develop ... Optimize end-to-end GPU performance for real-time autonomous driving workloads , including sensor ...

Bot Auto

GPU Engineer

Houston, TX · On-site

You would collaborate with software engineers, AI researchers, and hardware specialists to develop ... Optimize end-to-end GPU performance for real-time autonomous driving workloads , including sensor ...

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All JobsAutonomous Driving Engineer JobsSenior Autonomous Driving Engineer JobsSenior Autonomous Driving Engineer Jobs in Manvel, TX

Senior Autonomous Driving Engineer information

See Manvel, TX salary details

$56K

$119.1K

$172.6K

How much do senior autonomous driving engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for senior autonomous driving engineer in Manvel, TX is $119,063.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $135,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Autonomous Driving Engineer vs Autonomous Vehicle Software Engineer?

AspectSenior Autonomous Driving EngineerAutonomous Vehicle Software Engineer
Required CredentialsBachelor's/Master's in Robotics, Computer Science, or related; experience in autonomous systemsBachelor's/Master's in Software Engineering, Computer Science; programming skills
Work EnvironmentResearch labs, automotive companies, tech firms developing autonomous systemsSoftware development teams, automotive or tech companies working on autonomous vehicle software
Industry UsageDesigning, testing, and integrating autonomous driving featuresDeveloping and maintaining software components for autonomous vehicles
Common Search/ComparisonYesYes

The Senior Autonomous Driving Engineer focuses on leading the development and integration of autonomous driving systems, requiring expertise in robotics and sensor integration. In contrast, the Autonomous Vehicle Software Engineer primarily develops software components for autonomous vehicles, emphasizing programming skills. Both roles are vital in autonomous vehicle development but differ in scope and responsibilities.

What cities near Manvel, TX are hiring for Senior Autonomous Driving Engineer jobs? Cities near Manvel, TX with the most Senior Autonomous Driving Engineer job openings:
Senior Autonomous Driving Engineer jobs near you
Infographic showing various Senior Autonomous Driving Engineer job openings in Manvel, TX as of August 2026, with employment types broken down into 65% Full Time, 32% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $119,063 per year, or $57.2 per hour.

Algorithm Engineer, Autonomous Driving Validation

Bot Auto

Houston, TX

Full-time

Posted 12 days ago

Job description

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a startup and the wisdom of seasoned experts, our team has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create groundbreaking solutions that propel the future of transportation. Join us and transform your ideas into reality.

About The Role

You will be the engineer who keeps the autonomy stack healthy, fast, and trustworthy. This role spans code maintenance and platform quality, the validation and simulation pipeline that gates every release, and the triage-and-fix loop that turns reported road cases into resolved issues. If you take pride in a codebase that stays clean as it scales and a validation system that catches regressions before they reach the road, this is your role. The work is less about any single algorithm and more about the engineering backbone that lets the whole team move quickly without breaking things.

What You'll Do
  • Own and improve core autonomy code: refactoring, interface hygiene, build and runtime performance, and day-to-day maintenance to keep a fast-growing codebase maintainable.
  • Build and operate the validation and regression pipeline, including scenario suites, metric definitions, sim-vs-road consistency checks, and release-gating criteria.
  • Improve simulation infrastructure: determinism, version pinning, scenario tooling, and diffing that makes the cause of a regression obvious.
  • Run the triage loop: take cases reported from the road and from simulation, reproduce them, localize the root cause, and either fix them or route them to the right owner with a clear, actionable writeup.
  • Build the debugging and observability tooling (logging, replay, per-frame snapshotting) that makes failures fast to diagnose.
  • Partner with the algorithm engineers, the simulation team, and operations to keep the path from "case reported" to "fix verified" short and reliable.
Required Qualifications
  • B.S. in Computer Science or a related field, or equivalent practical experience.
  • Strong C++ and Python, with sound instincts for testing, code review, and keeping a large codebase healthy.
  • Experience building or operating CI/validation/test infrastructure for a complex software system.
  • Strong debugging skills - comfortable reproducing and root-causing issues across an unfamiliar, multi-component stack.
Preferred Qualifications
  • Experience with simulation, regression frameworks, or validation pipelines for robotics or autonomous systems.
  • Experience with data and logging infrastructure (large-scale log replay, observability, debugging tooling).
  • Familiarity with autonomy, robotics, or another real-time, safety-critical domain.
  • Experience defining metrics and quality gates that engineering and product teams rely on for release decisions.

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