Robotics MPU & DNPU Field Applications Engineer

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Summary

Location

United States (Hybrid)

Salary

$166k-229k/year

Work

Full-time

Experience

10+ years

Key Benefits
Performance Incentives
Equity Participation
401(k) Plan
Full Health Coverage
Hybrid/Remote Friendly

About this Job

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Robotics MPU & DNPU Field Applications Engineer in the United States.

This role sits at the intersection of advanced robotics, edge AI, and high-performance embedded systems, supporting customers building next-generation autonomous machines such as humanoids, drones, and autonomous mobile robots. You will act as a trusted technical advisor, guiding system architects and engineering teams through the design and deployment of complex compute platforms. The position blends deep hands-on engineering with customer-facing technical leadership in a fast-moving, innovation-driven environment. You will help translate cutting-edge silicon capabilities into real-world robotics solutions spanning perception, navigation, and motion control. Working closely with global sales and engineering teams, you will influence design wins and accelerate product adoption. This is a highly impactful role where your expertise directly shapes how intelligent edge systems are built and deployed at scale.

Accountabilities

In this role, you will provide advanced technical leadership across customer engagements, helping design and deploy robotics compute architectures built on MPU and DNPU platforms. You will guide end-to-end system integration and support customers from early design through production readiness, including:

  • Leading architecture definition for robotics systems covering perception, localization, planning, and control workflows
  • Supporting Linux-based system bring-up, including bootloader, kernel, drivers, device tree, and Yocto integration
  • Advising on heterogeneous compute designs combining application processors with real-time microcontroller subsystems
  • Conducting hardware/software co-debugging, including schematic and PCB review, lab validation, and root-cause analysis
  • Enabling AI and computer vision workloads on edge processors, including model optimization and deployment for inference
  • Delivering technical workshops, proof-of-concepts, and on-site customer engagements to accelerate design wins
  • Acting as a bridge between customers, sales, and internal engineering teams to ensure successful execution and adoption

Requirements

Candidates should bring deep expertise in embedded systems and strong experience supporting complex SoC-based platforms in customer-facing environments. You will need both hands-on technical depth and the ability to guide strategic architecture decisions, including:

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or Computer Science
  • 10+ years of experience in embedded systems or MPU/SoC application engineering with Linux-based platforms
  • Strong embedded Linux expertise (U-Boot, kernel, drivers, device tree, Yocto, user-space integration)
  • Proficiency in C/C++ and scripting (Python preferred) for embedded development and automation
  • Experience with ARM Cortex-A processors and heterogeneous compute architectures with real-time cores
  • Knowledge of high-speed interfaces such as PCIe, LPDDR, USB 3.x, MIPI CSI/DSI, Ethernet, and eMMC
  • Hands-on debugging skills using lab equipment, schematic/PCB analysis, and signal integrity troubleshooting
  • Strong communication skills and ability to lead technical discussions with customers and internal stakeholders
  • Willingness to travel within North America and operate independently in a customer-facing role

Benefits

  • Competitive annual base salary ($166,200 – $228,500, depending on experience and location)
  • Performance-based incentives and potential equity participation
  • Comprehensive health, dental, and vision insurance coverage
  • 401(k) retirement savings plan
  • Paid time off and company holidays
  • Flexible work arrangements with a hybrid/remote-friendly approach depending on location
  • Opportunity to work on cutting-edge robotics and edge AI technologies
  • Career growth within a global leader in intelligent edge and semiconductor innovation

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

About the Company

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Jobgether

Privately Held

Job search is broken. Talents waste hours applying blindly, companies drown in irrelevant CVs. Jobgether flips the model. We’re an AI-powered career coach and matching platform helping people land remote and flexible jobs faster. Jobgether designs your job search strategy, prepares you to stand out, and connects you only with roles that truly match. Finding a job isn’t about applying to hundreds of listings anymore, it’s about having the right strategy and visibility to attract the right opportunities. Purpose & Vision Our purpose is to make remote job search guided, fast, and effective, reducing frustration and wasted effort for both talents and employers. We envision a world where careers are built with intention, not luck. Where flexibility is the norm. Where no talent remains invisible. Jobgether exists to ensure that every professional has a real chance to find the right remote job.

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