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Senior Embedded Ai Jobs (NOW HIRING)

NY ยท On-site

$110 - $170/hr

We are looking for a Senior Embedded Engineer with experience developing embedded products and ... an AI-native software engineering company that blends technical excellence with human-centric ...

Senior Embedded Engineer

San Francisco, CA ยท On-site

$146K - $191K/yr

... AI, designed for today's global logistics network. We're a fast-moving, close-knit team of AV ... Position Overview As an Embedded Engineer, you will develop safety-critical, real-time firmware for ...

Senior Embedded Engineer

San Francisco, CA ยท On-site

$146K - $191K/yr

... AI, designed for today's global logistics network. We're a fast-moving, close-knit team of AV ... Position Overview As an Embedded Engineer, you will develop safety-critical, real-time firmware for ...

Senior Embedded Engineer

San Francisco, CA ยท On-site

$146K - $191K/yr

... AI, designed for today's global logistics network. We're a fast-moving, close-knit team of AV ... Position Overview As an Embedded Engineer, you will develop safety-critical, real-time firmware for ...

Senior Embedded Engineer

Hudson, NH ยท On-site

$165K - $218K/yr

Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns ... ABOUT THE JOB The AIRS team is seeking a Senior Embedded Engineer to design a new product lines. In ...

Showing results 41-60

Senior Embedded Ai information

See salary details

$75.5K

$144.8K

$193.5K

How much do senior embedded ai jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior embedded ai in the United States is $144,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,000.00 and $162,500.00 per year, depending on experience, location, and employer.

What is a senior embedded AI engineer?

A Senior Embedded AI Engineer is a specialized professional who designs, develops, and implements artificial intelligence algorithms on embedded systems, such as microcontrollers and edge devices. They work at the intersection of hardware and software, optimizing AI models for performance, efficiency, and low power consumption. Their responsibilities often include collaborating with hardware engineers, integrating AI solutions into products, and ensuring real-time processing capabilities. Senior roles typically require deep expertise in both AI frameworks and embedded system architectures, as well as experience leading technical projects.

What are the key skills and qualifications needed to thrive as a senior embedded AI engineer?

To thrive as a Senior Embedded AI Engineer, you need strong expertise in embedded systems, machine learning algorithms, and proficiency in programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with hardware platforms (such as ARM or FPGA), real-time operating systems (RTOS), and AI frameworks (like TensorFlow Lite or ONNX) is typically required. Exceptional problem-solving, teamwork, and communication skills help you collaborate effectively and drive innovation in multidisciplinary environments. These skills are crucial for developing efficient, reliable AI solutions that operate seamlessly on resource-constrained devices.

What are some common challenges faced by senior embedded AI engineers when integrating AI models into resource-constrained devices?

Senior Embedded AI engineers often encounter challenges such as optimizing AI models to run efficiently on devices with limited memory, processing power, and battery life. Balancing model accuracy with computational constraints requires creative problem-solving, such as model quantization, pruning, or leveraging hardware accelerators. Additionally, ensuring real-time performance and maintaining robust security for on-device inference are key concerns. Close collaboration with hardware, firmware, and software teams is essential to successfully deploy and maintain AI solutions on embedded systems.

What is the difference between Senior Embedded Ai vs Embedded Software Engineer?

AspectSenior Embedded AiEmbedded Software Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; experience in AI/MLBachelor's in Computer Science, Electrical Engineering, or related; programming skills in C/C++
Work EnvironmentResearch labs, AI-focused teams, product development in IoT, roboticsEmbedded systems development in consumer electronics, automotive, industrial devices
Employer & Industry UsageTech companies, startups, automotive, roboticsElectronics manufacturers, automotive, consumer device companies

While both roles involve embedded systems, Senior Embedded Ai focuses on integrating AI/ML capabilities into embedded devices, requiring knowledge of AI frameworks. Embedded Software Engineers develop the core software for embedded hardware, often with less emphasis on AI. The senior role typically demands more experience and specialized skills in AI integration.

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Infographic showing various Senior Embedded Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $144,773 per year, or $69.6 per hour.

Senior Embedded Software Engineer

Matternet

Mountain View, CA โ€ข On-site

$190K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 hours ago


Job description

Matternet is building the future of delivery with autonomous drone networks that move critical goods faster, cleaner, and at lower cost. We work with partners across healthcare, logistics, food, and retail to deliver everything from medical items to everyday essentials, safely and reliably.

We're seeking a Senior Embedded Software Engineer to develop the firmware and embedded software layer that sits between our aircraft and ground asset hardware and the higher-level software stack. Working across microcontrollers, embedded Linux, and the buses and peripherals that connect them, you'll bring up new hardware, own the drivers and firmware that make sensors and actuators reliable, and harden the embedded systems our delivery ecosystem depends on for every flight. This is a senior individual-contributor role with real ownership: you'll own embedded subsystems end-to-end, from board bring-up through flight test and regulated change control, working closely with Electrical, Mechanical, and Onboard Software teams.

In this role, you will:ย 

  • Design, build, test, and maintain firmware and embedded software for Matternet's aircraft and station embedded systems, spanning microcontroller firmware and embedded Linux on ARM
  • Own the hardware/software boundary: bring up new boards and peripherals, write and debug device drivers, and integrate sensors and peripherals (e.g. encoders, motors, IMUs, LIDAR/RADAR, and similar)
  • Select and integrate microcontrollers, communication buses (CAN, SPI, I2C, UART, BLE), and peripherals appropriate for new features and hardware revisions
  • Drive embedded software verification and release, from bench and simulation testing through flight test and deployment across production fleets
  • Debug at the hardware/software boundary when needed, including hands-on use of oscilloscopes and logic analyzers, and reviewing board-level schematics and datasheets with Electrical Engineering
  • Provide senior technical support, triaging and resolving field and flight-test issues tied to embedded subsystems
  • Collaborate with stakeholders across Electrical, Mechanical, Onboard Software, Operations, Safety, and Production

Requirements

  • 6+ years of production embedded software/firmware engineering
  • Strong C/C++ design and programming skills, with solid software engineering practice across the hardware/software/network development lifecycle (code review, source control, build systems, test-driven development, static analysis)
  • Proficiency with embedded Linux for ARM (kernel, device drivers, board support) as well as bare-metal/RTOS firmware development
  • Deep functional knowledge of communication protocols (CAN, SPI, I2C, UART, BLE) and experience selecting the right protocol and hardware for a given application
  • Experience selecting microcontrollers and bringing up new peripherals, sensors, and actuators (motors, encoders, and similar)
  • Comfortable reading board-level schematics and datasheets, and debugging at the signal level using oscilloscopes and/or logic analyzers
  • Proficiency with version control and peer code review workflows (e.g., Git)
  • Excellent technical communication and strong cross-disciplinary teamwork in a fast-paced environment

Preferred Qualifications:

  • UAV, autonomous robotics, aerospace, or other safety-critical regulated experience
  • Experience with Real-Time Operating Systems (RTOS)
  • Familiarity with an autopilot stack such as ArduPilot or PX4, and UAV/avionics technologies (ADS-B, GPS/GNSS, LIDAR, perception sensors)
  • Experience with build systems such as CMake, Make, or Waf, and containerized build/test environments (Docker)
  • Experience optimizing C/C++ algorithms for high data throughput
  • Experience with battery management systems or smart battery ICs
  • Experience using AI coding assistants to accelerate development
  • Relevant mechanical, aerospace, or electrical engineering experience

Work Environment:

  • This is an in-person role based at Matternet Headquarters, with access to our flight test facility
  • The ability to work and communicate efficiently online with a hybrid team is critical to success

Benefits

At Matternet, we're advancing a new era of logistics, one where autonomous drones deliver what matters faster, cleaner, and more efficiently. We know our mission is challenging, but it's worth it, and we are committed to taking care of the people who make it possible.

  • Compensation: The expected starting range for this role is $190,000-$240,000, based on San Francisco Bay Area market data. This range reflects the target starting pay for candidates who meet the minimum qualifications for the role. Final compensation will depend on factors such as your experience, skills, level, location, and potential impact.
  • Total Rewards: In addition to base pay, our compensation packages include equity, and benefits such as medical, dental, vision, life, and disability coverage, flexible spending accounts (FSA), unlimited paid time off, company holidays, and a 401(k) plan.