IROS 2026 - Robotics & AI Talent

IROS 2026 - Robotics & AI Talent at Apptronik scores 85 out of 100 on AI centrality, which makes it a Level 4 role on this board.

Austin, Texas & Sunnyvale, California

AI in this role

Develop perception, control, and software systems for AI-powered humanoid robots across multiple seniority levels.

rosros2cpython

computer-visionlidarsensor-fusionslammotion-planningreinforcement-learning

Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.

We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.

Heading to IROS 2026? Let’s Connect!

Our Talent Acquisition and Engineering teams will be on-site in Pittsburgh! We are actively looking for top early-career, graduate (MS/PhD), and experienced talent in robotics, autonomous systems, control theory, and perception to join our growing team.

Skip the formal application queue: Share your information prior to or during the conference.

Areas of Interest & Focus: We are hiring across multiple levels (Internships, Entry-Level, Senior, and Research Scientists) in the following domains:

Perception & Sensing: Computer Vision, LiDAR, Sensor Fusion, SLAM, State Estimation.
Control & Dynamics: Motion Planning, Trajectory Optimization, Reinforcement Learning, Actuation.
Software Systems: ROS/ROS2, C++, Python, Embedded Systems, Real-Time Operating Systems (RTOS).
Hardware & System Design: Mechanical Design, Mechatronics, Rapid Prototyping.

What We Offer / Why Join Us

High-Impact Projects: Work on real-world robotics applications with direct business and customer ROI.
Growth & Mentorship: Collaborate directly with industry experts, senior researchers, and cross-functional engineering leads.
Flexible Roles: Openings available for Summer 2027 Internships, Full-Time University Graduate Roles, and Direct Lateral Hires.

How to Meet Us at IROS:

Submit your Resume / CV or LinkedIn profile link through this posting.
Keep an eye on your email/LinkedIn messages—our sourcing team will send you a calendar link to pick a coffee slot that fits around your poster sessions and talks!

Not attending IROS in person? No problem — we will still love to hear from you.

*This is a direct hire. Please, no outside Agency solicitations.

Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer VisionLidarSensor FusionSlamMotion PlanningReinforcement LearningRosRos2

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Tell me about a project where lidar was part of your work. What did you do?
Tell me about a project where sensor fusion was part of your work. What did you do?
Tell me about a project where slam was part of your work. What did you do?
Tell me about a project where motion planning was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Computer Vision, Lidar, Sensor Fusion, Slam, and Motion Planning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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