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Robotics Perception Jobs in Texas (NOW HIRING)

TerraFirma, Inc

Perception Engineer

Austin, TX · On-site

Integrate multi-spectral and TOF sensors into robotic systems with real-time processing constraints ... for perception and data processing pipelines * Demonstrated experience owning large-scale ...

ICON

Robotics Simulation Engineer II

Austin, TX · On-site

As a Robotics Simulation Engineer, you will build and maintain high-fidelity simulation ... Collaborate with controls, perception, and mechatronics engineers to ensure simulated sensor models ...

Apptronik

Staff Perception Hardware Engineer

Austin, TX · On-site

$122K - $161K/yr

Lead the physical integration of the robot's visual perception stack. Drive the transition from prototype designs to fully validated, production-ready camera assemblies, ensuring all FOV, thermal ...

Kickmaker

Robotic Engineer

Austin, TX · On-site

$130K/yr

... robotics, IOT and consumer devices) and our cross-disciplinary skills (embedded AI, high-tech ... Develop and optimize control algorithms, perception systems, and navigation strategies * Integrate ...

Kickmaker

Robotic Engineer

Austin, TX · On-site

$130K/yr

... robotics, IOT and consumer devices) and our cross-disciplinary skills (embedded AI, high-tech ... Develop and optimize control algorithms, perception systems, and navigation strategies * Integrate ...

Graphcore

Staff Robotics Engineer

Austin, TX

Familiarity with 3D localization or VLM-based object detection (e.g., perception/ segmentation ... Experience with robotics frameworks and middleware such as ROS/ROS 2 and IsaacSIM for modeling ...

Graphcore

Staff Robotics Engineer

Austin, TX · On-site

Familiarity with 3D localization or VLM-based object detection (e.g., perception/ segmentation ... Experience with robotics frameworks and middleware such as ROS/ROS 2 and IsaacSIM for modeling ...

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Robotics Perception information

What are some common challenges faced by professionals in Robotics Perception roles when integrating perception systems with real-world robotics applications?

A key challenge in Robotics Perception is ensuring that perception algorithms—such as object detection, mapping, and localization—operate reliably in dynamic, unstructured environments. Professionals often need to address sensor noise, variable lighting conditions, and occlusions that can impact data quality. Integrating perception systems with robotic hardware requires close collaboration with mechanical, software, and controls engineers to ensure real-time performance and robustness. Adapting solutions to different platforms and continuously validating them in field tests is also an essential, ongoing responsibility.

What is robotics perception?

Robotics perception refers to the ability of robots to interpret and understand their environment using sensors such as cameras, LIDAR, and radar. This field combines elements of computer vision, machine learning, and sensor fusion to help robots identify objects, navigate spaces, and interact with the world safely and effectively. Robotics perception is crucial for autonomous systems like self-driving cars, drones, and industrial robots, enabling them to make decisions based on real-time data from their surroundings.

What is the difference between Robotics Perception vs Robotics Software Engineer?

AspectRobotics PerceptionRobotics Software Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or related fields; experience with perception algorithmsBachelor's or Master's in Computer Science, Software Engineering, or related; programming skills in C++, Python
Work EnvironmentResearch labs, R&D departments, industry settings focused on sensor data processingDevelopment teams, industrial or research settings, focusing on software development for robots
Industry UsageUsed in autonomous vehicles, drones, and robotic systems for environment understandingDevelops the software that enables robotic functionalities, including perception modules

Robotics Perception specialists focus on developing algorithms that interpret sensor data to understand the environment, while Robotics Software Engineers build the overall software systems that incorporate perception modules. Both roles often collaborate but differ in their core focus and skill sets.

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

To thrive as a Robotics Perception Engineer, you need a solid background in computer vision, machine learning, and robotics, typically supported by a degree in computer science, engineering, or a related field. Experience with tools like ROS (Robot Operating System), OpenCV, and programming languages such as Python or C++ is essential, along with familiarity with sensor technologies and perception algorithms. Strong problem-solving skills, teamwork, and clear communication are crucial soft skills for addressing complex challenges and collaborating effectively. These abilities ensure robust perception systems, enabling robots to interpret and interact safely and efficiently with their environments.
What are popular job titles related to Robotics Perception jobs in Texas? For Robotics Perception jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Robotics Perception jobs in Texas look for? The top searched job categories for Robotics Perception jobs in Texas are:
What cities in Texas are hiring for Robotics Perception jobs? Cities in Texas with the most Robotics Perception job openings:
Robotics Perception jobs near you
Perception Engineer

Perception Engineer

TerraFirma, Inc

Austin, TX • On-site

Full-time

Posted 23 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.

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