ZipRecruiter

Log In

1

Manager Robotics Engineer Localization Jobs in Austin, TX

TerraFirma, Inc

Perception Engineer

Austin, TX · On-site

... localization, and operator visualization. Responsibilities * Integrate multi-spectral and TOF sensors into robotic systems with real-time processing constraints * Work with motion and trajectory ...

Instawork

Robotics AI Campus Lead

Austin, TX

Manage Goals: Meet weekly targets for the number of unique participants recorded. Who You Are * The ... Interest in Computer Science, Robotics, Engineering, or Marketing * Experience in street teaming ...

next page

Showing results 1-20

People also search for

All JobsRobotics Engineer Localization JobsManager Robotics Engineer Localization JobsManager Robotics Engineer Localization Jobs in Austin, TX

Manager Robotics Engineer Localization information

See Austin, TX salary details

$28.7K

$104.7K

$167.5K

How much do manager robotics engineer localization jobs pay per year?

As of May 29, 2026, the average yearly pay for manager robotics engineer localization in Austin, TX is $104,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,800.00 and $125,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Robotics Engineer Localization, and why are they important?

To thrive as a Manager Robotics Engineer Localization, you need expertise in robotics, localization algorithms (such as SLAM), and a relevant engineering degree, often paired with experience in project or team management. Familiarity with ROS (Robot Operating System), C++/Python programming, and simulation tools like Gazebo, as well as certifications in robotics or project management, are commonly required. Strong leadership, effective communication, and problem-solving abilities help you lead teams and coordinate complex, multidisciplinary projects. These skills ensure the successful development and deployment of accurate localization solutions in robotics systems, driving innovation and team performance.

What are some common challenges faced by a Manager Robotics Engineer specializing in Localization, and how can they be addressed?

Managers in robotics engineering localization often encounter challenges such as integrating localization algorithms with real-world sensor data, ensuring robust performance in diverse environments, and managing cross-functional teams with varied expertise. Addressing these challenges requires strong communication skills, proactive problem-solving, and fostering close collaboration between software developers, hardware engineers, and research scientists. Regular team meetings, continuous testing in different scenarios, and investing in professional development can help ensure successful project outcomes and innovation in localization solutions.

What does a Manager Robotics Engineer Localization do?

A Manager Robotics Engineer Localization leads teams that develop and refine the technology enabling robots to determine their precise position and orientation in various environments. This role involves overseeing projects focused on algorithms and systems for mapping, navigation, and sensor fusion. The manager collaborates with engineers and cross-functional teams to ensure robust and efficient localization solutions for robotic applications, such as autonomous vehicles or warehouse automation. Responsibilities also include mentoring staff, setting technical direction, and ensuring projects meet performance and safety standards.

What is the difference between Manager Robotics Engineer Localization vs Robotics Engineer Localization?

AspectManager Robotics Engineer LocalizationRobotics Engineer Localization
CredentialsBachelor's/Master's in Robotics, Engineering, or related; leadership experienceBachelor's/Master's in Robotics, Mechanical, Electrical Engineering
Work EnvironmentTeam leadership, project management, strategic planningDesign, development, testing of localization systems
Employer & Industry UsageRobotics companies, tech firms, manufacturingRobotics development, research labs, automation firms

The Manager Robotics Engineer Localization oversees localization projects, manages teams, and aligns strategies with company goals. In contrast, the Robotics Engineer Localization focuses on technical development and implementation of localization systems. Both roles require engineering expertise, but the manager role emphasizes leadership and project oversight.

What are popular job titles related to Manager Robotics Engineer Localization jobs in Austin, TX? For Manager Robotics Engineer Localization jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Manager Robotics Engineer Localization jobs in Austin, TX look for? The top searched job categories for Manager Robotics Engineer Localization jobs in Austin, TX are:
What cities near Austin, TX are hiring for Manager Robotics Engineer Localization jobs? Cities near Austin, TX with the most Manager Robotics Engineer Localization job openings:
Manager Robotics Engineer Localization jobs near you
Perception Engineer

Perception Engineer

TerraFirma, Inc

Austin, TX • On-site

Full-time

Posted 19 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 implement the perception systems that give our automated heavy machinery the awareness needed to operate effectively in complex, unstructured environments. This role combines high-level architecture decisions with hands-on algorithm development, hardware integration, and field testing. You will work across the perception stack, from integrating and calibrating advanced sensors to building real-time processing pipelines for images, point clouds, and other high-bandwidth data streams. Your work will power critical functions such as collision avoidance, motion planning, localization, and operator visualization.
Responsibilities
  • Integrate multi-spectral and TOF sensors into robotic systems with real-time processing constraints
  • Work with motion and trajectory planning teams to design and synthesize sensor systems to extract required signals and inputs
  • Implement algorithms to efficiently detect objects of interest from incoming data streams for the purposes of collision avoidance, motion planning, and trajectory planning
  • Stitch together and manipulate camera feeds and data from other sensors to effectively visualize the state of physical systems to human operators
  • Develop real-time pipelines for processing, sharing, and fusing data from multiple sensor sources
  • Train Machine Learning (ML) models on existing and custom datasets and support collection and labeling of data for additional training and validation
  • Develop simulation and visualization tools to aid in rapid prototyping of robotic software and control algorithms
  • Own the integration, calibration, and testing of sensors, both for proof-of-concept prototypes and production systems
  • Lead interdisciplinary teams, mentor new employees, and actively participate in the hiring process

Basic Qualifications
  • B.S. in Robotics, Mechanical Engineering, Physics, Computer Science, Electrical Engineering, or a closely related field
  • 2+ years of professional or project experience with robotic software development, involving implementation of real-time algorithms for perception and data processing pipelines
  • Demonstrated experience owning large-scale deliverables, leading teams, and driving product roadmaps

Preferred Skills & Experience
  • Experience working with safety-critical or real-time systems
  • Experience working with embedded applications for robotics, autonomous vehicles, aerospace, automotive, or construction
  • Proficiency in C++ and Python, including development for Linux-based systems and bare-metal MCUs
  • Experience training, testing, optimizing, and deploying online and offline machine learning models with existing and custom datasets
  • Experience implementing algorithms or pipelines for robotic systems or feedback control from scratch in C++ or Python
  • Experience performing object detection on multiple data sources including multi-spectral images and point clouds
  • Experience programming FPGAs for high-throughput networking, compression, or DSP

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.

Apply