1

Robotics Research Engineer Jobs in Austin, TX (NOW HIRING)

Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting ... We are seeking a Staff Mechanical Engineer to join our R&D team and lead rapid development of next ...

Stay current with latest research in VLA models, multimodal AI, and robotics to drive innovation ... Strong programming skills in Python with experience in distributed training and model optimization

... engineering to ensure robotic systems consistently deliver value in the field. You will manage ... Organize, track, and manage inventory stock in the lab for pilot programs and research and ...

Lead R&D Test Engineer

Austin, TX ยท On-site

$101K - $133K/yr

Infravision is looking for a Senior R&D Test Engineer to help build and validate next-generation ... With its proprietary aerial robotics system, the company enables utilities, contractors, and ...

Showing results 21-40

Robotics Research Engineer information

See Austin, TX salary details

$28.7K

$104.7K

$167.5K

How much do robotics research engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for robotics research engineer in Austin, TX is $104,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $125,900.00 per year, depending on experience, location, and employer.

What does a robotics research engineer do?

A Robotics Research Engineer designs, develops, and tests robotic systems by integrating hardware and software for automation and intelligent behavior. They conduct research to improve robotic capabilities in areas such as perception, control, and machine learning. Their work involves programming, simulation, and experimentation to enhance robot performance for applications in industries like healthcare, manufacturing, and space exploration.

What are the key skills and qualifications needed to thrive as a robotics research engineer?

To thrive as a Robotics Research Engineer, you need strong knowledge in robotics, control systems, programming (such as C++ or Python), and a relevant degree in engineering or computer science. Experience with simulation tools (like ROS or Gazebo), machine learning frameworks, and sometimes certifications in robotics or AI are valuable assets. Excellent problem-solving abilities, teamwork, and effective technical communication make someone stand out in this position. These skills are essential for innovating, troubleshooting, and successfully collaborating on complex robotic projects.

What are popular job titles related to Robotics Research Engineer jobs in Austin, TX? For Robotics Research Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Robotics Research Engineer jobs in Austin, TX look for? The top searched job categories for Robotics Research Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Robotics Research Engineer jobs? Cities near Austin, TX with the most Robotics Research Engineer job openings:
Infographic showing various Robotics Research Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $104,652 per year, or $50.3 per hour.

Robotics Software Engineer - Motion Planning, State Estimation, & Control

TerraFirma

Austin, TX โ€ข On-site

Full-time

Re-posted 20 days ago


Job description

At TerraFirma, we’re redefining how the world moves earth for construction. Founded by former SpaceX engineers and backed by Bain Capital Ventures, TerraFirma is automating construction to make it faster, cheaper, and safer.

 

Our Story & Mission

At SpaceX, we were part of the teams that built the largest rocket in human history, launched the largest constellation of satellites ever made, and delivered connectivity to millions of people worldwide. What we learned was simple: infrastructure is everything.

At Starbase, the biggest barrier to launching missions to Mars was not building the rocket. It was how slow, expensive, and complex it was to build the infrastructure around it. We lacked buildings, roads, water, power, communications, and waste management, and constructing them took far more time and resources than it should have.

From a first-principles perspective, that doesn't make sense. It shouldn't be this hard or costly to create the foundations for progress. That’s when we realized something important: the same engineering mindset that enabled us to tackle space exploration and mass manufacturing could be applied to infrastructure. By bringing the principles of simplification, iteration, acceleration, and automation to construction, we can unlock a new era in how the world builds.

Accelerating infrastructure unlocks progress across every domain, creating a self-sustaining engine for tackling humanity’s toughest challenges. The innovations we develop on Earth will lay the groundwork for the technologies that one day make settlement on Mars possible.

 

Job Overview

You will design and deploy the algorithms that enable heavy machinery to perform complex tasks with advanced automation in dynamic, unstructured environments. Your focus will span state estimation, motion and trajectory planning, and control, taking ideas from simulation through to real-world deployment on multi-ton robotic platforms. You will architect systems that fuse data from diverse sensors, optimize movement on challenging job sites, and execute with reliability under real-time constraints.

 

Responsibilities

  • State Estimation & Sensor Fusion – Design, implement, and deploy real‑time estimation pipelines that remain robust to sensor noise, vibration, and bias

  • Motion / Trajectory / Path Planning – Create high‑level planners and low‑level controllers that optimize for safety, efficiency, and task completion

  • Software & System Architecture – Own C++/Python codebases, and MCU firmware that realize Guidance, Navigation & Control functions on production hardware

  • Simulation & Tooling – Generate digital twins, Hardware-in-the-Loop setups, and interactive visualizations to validate algorithms before field trials

  • Field Deployment – Bring algorithms onto machines, run field experiments, diagnose issues, and iterate rapidly

     

Basic Qualifications

  • B.S. in Robotics, Mechanical/Electrical Engineering, Computer Science, Aerospace Engineering, or a related field

  • 2+ years of professional or advanced research experience delivering robotic software from first‑principles modelling through hardware deployment

  • Proven track record owning large deliverables and driving multi‑disciplinary roadmaps

 

Preferred Skills & Experience

  • Hands‑on deployment of Kalman filters or equivalent estimators on real‑world platforms (e.g., drones, tractors, autonomous vehicles, aircraft, rockets)

  • Deep familiarity with sensor‑fusion toolchains and libraries

  • Expertise in different motion planning frameworks

  • Strong C++17/C and Python skills on Linux

  • Background integrating and calibrating sensors such as IMUs, RTK‑GPS, wheel/arm encoders, LiDAR, and cameras

 

Additional Requirements

  • Must be willing to work extended hours or weekends when needed to support critical deadlines or triage urgent deployment issues

  • Comfortable with working in a fast-paced startup environment

  • Must be willing to relocate to Austin, TX if not within commuting distance


Compensation & Benefits

Base compensation will vary based on factors such as relevant experience and education. Salaries and leveling will be determined on a case-by-case basis if an offer is extended. Our total compensation package also includes equity in TerraFirma. Relocation packages are available to help cover moving costs, if applicable.