Apptronik Logo

Apptronik

Staff Electrical Engineer - Compute

Reposted 2 Days Ago
Be an Early Applicant
Easy Apply
Hybrid
Austin, TX
Expert/Leader
Easy Apply
Hybrid
Austin, TX
Expert/Leader
Lead design and implementation of compute solutions for humanoid robots, ensuring performance, safety, and seamless integration with engineering teams.
The summary above was generated by AI

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 embodied 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.

JOB SUMMARY

We are seeking a highly skilled and experienced Staff Compute Engineer to lead the design and implementation of the next-generation compute solution for our humanoid robot platform. In this pivotal role, you will be the technical lead responsible for architecting a compute solution that meets our most demanding requirements for real-time performance, sensor bandwidth, and, most critically, functional safety.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES
  • Lead the architectural design of the robot's next-generation compute solution, from high-level system architecture to component-level selection.
  • Define and validate compute requirements based on the needs of complex robotics algorithms, including motion control, perception, and AI tasks.
  • Develop a robust and scalable solution capable of handling high-bandwidth data from a wide array of sensors
  • Design for functional safety from the ground up, implementing redundant systems, fail-safe mechanisms, and diagnostic features to meet or exceed industry safety standards.
  • Collaborate closely with cross-functional teams, including software, electrical, and systems engineers, to ensure seamless integration of the compute solution with the overall robot platform.
  • Conduct performance benchmarking and power analysis to optimize the compute stack for maximum efficiency and thermal management.
  • Design, simulate, implement, and test multi-layer high-speed PCBs for integration of advanced System-on-Modules (SoMs) like NVIDIA Orin.
  • Lead efforts in high-speed signal integrity (SI) and power integrity (PI) analysis, modeling, and validation.
  • Knowledge of compute and processor power requirements, power trees, PMICs, and power sequencing.
  • Drive the selection and qualification of critical components, including SoMs, memory, storage (NVMe/eMMC), high-speed interconnects, and peripheral interfaces.
  • Develop comprehensive validation and test plans (DVT/PVT), design necessary test fixtures, and execute rigorous testing to confirm compliance with performance specifications and regulatory standards (e.g., FCC, CE).
  • Stay abreast of the latest advancements in embedded systems, real-time operating systems (RTOS), and robotics compute hardware to inform future design decisions.
  • Own the entire lifecycle of complex compute hardware systems, from initial concept and architecture definition through design, prototyping, validation, production release, and ongoing support.
  • Act as a technical leader and mentor within the electrical engineering team, guiding junior and senior engineers on best practices for complex hardware design and troubleshooting.

SKILLS AND REQUIREMENTS

  • Proven experience in architecting and shipping complex, high-performance compute solutions for robotics, autonomous systems, or similar applications.
  • Deep understanding of functional safety principles and standards (e.g. IEC 61508) and experience with safety-critical design.
  • Expertise in a variety of compute platforms, including but not limited to, NVIDIA Jetson, Intel, and other high-performance embedded systems.
  • Strong knowledge of real-time operating systems (RTOS), multi-core processing, and communication protocols (e.g., Ethernet, CAN).
  • Experience with sensor bandwidth management and high-speed data transfer.
  • Excellent problem-solving skills and a collaborative approach to engineering.
  • Experience with humanoid robotics is a significant plus.

EDUCATION and/or EXPERIENCE

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related field; Master's or Ph.D. preferred.
  • 10+ years of experience in embedded systems or robotics compute design.

PHYSICAL REQUIREMENTS

  • Prolonged periods of sitting at a desk and working on a computer 
  • Must be able to lift 15 pounds at times 
  • Vision to read printed materials and a computer screen 
  • Hearing and speech to communicate




*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.

Similar Jobs at Apptronik

4 Hours Ago
Easy Apply
Hybrid
Easy Apply
Senior level
Senior level
Computer Vision • Hardware • Machine Learning • Robotics • Software
Responsible for designing motor drives for humanoid robot actuators, overseeing PCBA designs from conception through production, validating prototypes, and collaborating with cross-functional teams.
Top Skills: AltiumArenaLtspicePspice
Yesterday
Easy Apply
Hybrid
Easy Apply
Senior level
Senior level
Computer Vision • Hardware • Machine Learning • Robotics • Software
Own and architect a production-grade custom Embedded Linux distribution for humanoid robots, handling OS build systems, kernel tuning for real-time control, hardware enablement, secure provisioning and OTA updates, platform hardening with TPM/LUKS/LSMs, CI/CD for images, and tooling/documentation for field reliability and diagnostics.
Top Skills: ApparmorBashBluezBuildrootC++CgroupsDm-Crypt/LuksGitlab CiI2CIsolcpusJetpackL4TMenderNamespacesNvidia JetsonOpenembeddedOverlayfsPreempt_RtPythonRaucSecure BootSelinuxSpiSwupdateTpm 2.0UartUsbYocto
Yesterday
Easy Apply
Hybrid
Easy Apply
Senior level
Senior level
Computer Vision • Hardware • Machine Learning • Robotics • Software
The Staff Electrical Engineer will lead electronics development for the Apollo robot, focusing on system architecture, PCB design, testing, and compliance with safety standards, while mentoring staff and managing 3rd party relationships.
Top Skills: AIAltiumCad ToolsElectronics Lab ToolsLtspicePcbaPspiceRobotics

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account