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Free Engineer Jobs in Texas (NOW HIRING)

Apptronik

Reinforcement Learning Engineer

Austin, TX · On-site

Beyond your technical contributions, you will play a key role in maintaining a high-velocity, ego-free engineering culture - sharing insights, participating in rigorous code reviews, and ...

ServiceLink

DevOps Engineer, Information Technology

Plano, TX · On-site +1

$49.25 - $67.50/hr

Azure infrastructure is fully managed through Infrastructure as Code - repeatable, auditable, and drift-free * Developers self-serve deployments and environment provisioning without manual DevOps ...

Socket.dev

DevOps Engineer, Information Technology

Plano, TX · On-site

$50.75 - $69.50/hr

Azure infrastructure is fully managed through Infrastructure as Code -- repeatable, auditable, and drift-free * Developers self-serve deployments and environment provisioning without manual DevOps ...

Apptronik

Reinforcement Learning Engineer

Austin, TX · On-site

Beyond your technical contributions, you will play a key role in maintaining a high-velocity, ego-free engineering culture - sharing insights, participating in rigorous code reviews, and ...

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What is the difference between Free Engineer vs Mechanical Engineer?

AspectFree EngineerMechanical Engineer
Required CredentialsTypically self-taught or with online courses, no formal certification requiredBachelor's degree in Mechanical Engineering, Professional Engineer (PE) license often preferred
Work EnvironmentFreelance projects, consulting, remote or on-siteDesign offices, manufacturing plants, research labs, on-site inspections
Industry UsageUsed across various industries for freelance or project-based workPrimarily in manufacturing, automotive, aerospace, and HVAC industries
Common Search/ComparisonYesYes

Free Engineers often operate independently, focusing on freelance or consulting roles without formal credentials. Mechanical Engineers typically hold degrees and licenses, working within structured organizations. Both roles are common in engineering fields, but their work environments and credential requirements differ significantly.

Are free engineers in high demand right now?

The demand for free engineers, often referring to volunteer or open-source contributors, varies based on industry needs and project requirements. Skilled engineers with expertise in software development, automation, and cloud platforms are generally in high demand, especially for projects requiring technical proficiency and problem-solving abilities. However, the availability of free or volunteer engineers depends on the specific community or organization involved.
Free Engineer jobs near you

Reinforcement Learning Engineer

Austin, TX • On-site

Apptronik
Industrial Automation Equipment Manufacturing • 11 - 50 employees
Learn more about Apptronikexternal

Full-time

Re-posted 8 days ago

Job description

JOB SUMMARY:

As a Reinforcement Learning Engineer, you will be a core contributor to the intelligence and physical capabilities of our humanoid platforms. This role is dedicated to architecting sophisticated neural network topologies and implementing state-of-the-art RL algorithms to achieve world-class performance in whole-body locomanipulation. You will work alongside a multidisciplinary team to develop high-performance policies and optimized training pipelines that allow our robots to move and interact with the world with unprecedented fluidity. Beyond your technical contributions, you will play a key role in maintaining a high-velocity, ego-free engineering culture - sharing insights, participating in rigorous code reviews, and collaborating closely with hardware and controls teams to ensure our collective success on physical hardware.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES:
  • Implement and deploy state-of-the-art RL algorithms to achieve ambitious, world-class performance on dynamic locomotion and manipulation tasks with physical hardware.
  • Drive the entire development cycle, from prototyping in simulation to robustly transferring and fine-tuning policies on the robot.
  • Optimize and scale the RL training pipeline for faster iteration, contributing to core infrastructure for high-throughput simulation and distributed training.
  • Develop and refine motion retargeting pipelines to translate human demonstration data (mocap, teleoperation) into robust reference trajectories for reinforcement learning.
  • Collaborate closely with the robotics and hardware teams to diagnose system-level issues and co-develop solutions that enable more complex learned behaviors.
  • Analyze and present hardware results to guide future technical directions and demonstrate progress on key company objectives.
 SKILLS AND REQUIREMENTS
  • Hands-on expertise (3+ years) with common RL frameworks (e.g., PyTorch, JAX) and high-fidelity physics simulators (e.g., MuJoCo, IsaacGym).
  • Mastery of Python for rapid prototyping and training, alongside strong proficiency in C++ for developing performant, deployable code.
  • Experience building or utilizing large-scale, distributed training pipelines and a strong intuition for their optimization.
  • A strong theoretical understanding of modern reinforcement learning, including deep expertise in areas like imitation learning, model-based RL, and sim-to-real transfer techniques.
  • A strong intuition for robot dynamics and controls theory, with the ability to apply these principles to guide and constrain learning-based approaches.
  • A results-oriented mindset with a passion for seeing complex algorithms work on real-world hardware.
EDUCATION and/or EXPERIENCE:
  • A PhD degree in Computer Science, Robotics, or a related field, or an MS degree in a similar field with 2+ years industry experience.
  • A proven track record of successfully deploying learning-based policies on physical robotic systems, especially legged robots or manipulators.
  • Demonstrated experience mentoring or providing technical guidance to other engineers in a team environment.
  • A strong publication record in relevant conferences or journals (e.g., CoRL, RSS, ICRA) is a significant plus.
PHYSICAL REQUIREMENTS:
  • Prolonged periods of sitting at a desk and working on a computer
  • Vision to read printed materials and a computer screen
  • Hearing and speech to communicate

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