ZipRecruiter

Log In

1

Senior Embedded Machine Learning Jobs (NOW HIRING)

LeoForce

Senior Embedded Systems Engineer

Torrance, CA · On-site

$83 - $102/hr

Senior Embedded Systems Engineer Experience: Mid Level Salary: $60 - $74 per hour Job Details We ... Mentor junior engineers, fostering a culture of continuous learning and improvement. * Ensure ...

Phiston Technologies, Inc.

Be Seen First

Embedded Software Engineer

Miramar, FL · On-site

$110K - $135K/yr

Key Responsibilities Computer Vision & Machine Learning * Develop, train, and deploy object ... Embedded & Systems Integration * Deploy inference to edge compute on production equipment; optimize ...

Scout AI

Senior Embedded Software Engineer

Sunnyvale, CA · On-site

$145K - $190K/yr

The future of defense will be decided by those who field intelligent machines at scale. At Scout AI ... The Role We're looking for a Senior Embedded Software Engineer who is excited about working close ...

previous page

Showing results 41-60

All JobsTechnology JobsSoftware JobsSoftware Developer JobsSenior Embedded Machine Learning Jobs

Senior Embedded Machine Learning information

See salary details

$75.5K

$144.8K

$193.5K

How much do senior embedded machine learning jobs pay per year?

As of Sep 10, 2026, the average yearly pay for senior embedded machine learning 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 does a senior embedded machine learning engineer do?

A Senior Embedded Machine Learning engineer designs, develops, and optimizes machine learning models to run efficiently on resource-constrained embedded devices such as microcontrollers, IoT devices, and edge hardware. They are responsible for integrating ML algorithms with embedded systems, ensuring low latency and minimal power consumption. Their work often involves collaborating with hardware engineers and software developers to deploy intelligent features in products like smart sensors, wearables, and autonomous systems.

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

To thrive as a Senior Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often backed by an advanced degree in computer science or electrical engineering. Familiarity with tools such as TensorFlow Lite, ONNX, and embedded hardware platforms (e.g., ARM Cortex-M, NVIDIA Jetson) is typically required. Strong problem-solving, project management, and communication skills distinguish top performers in this role. These capabilities are crucial for efficiently deploying optimized machine learning models on resource-constrained devices and effectively collaborating across multidisciplinary teams.

What are some common challenges faced by senior embedded machine learning engineers when deploying models on edge devices?

Senior Embedded Machine Learning Engineers often encounter challenges such as optimizing model size and inference speed to fit within the limited computational resources and memory of edge devices. Balancing accuracy and performance while minimizing power consumption is critical, especially for battery-operated products. Additionally, integrating models with existing embedded software and ensuring reliable, real-time operation can require close collaboration with hardware and firmware teams. Staying current with advancements in model compression and hardware acceleration is also essential for success in this role.

What is the difference between Senior Embedded Machine Learning vs Embedded Software Engineer?

AspectSenior Embedded Machine LearningEmbedded Software Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML and embedded systemsBachelor's in CS, EE, or related; strong programming skills in C/C++
Work EnvironmentDeveloping ML models for embedded devices, hardware integrationDesigning and implementing embedded software for devices
Industry UsageAI/ML-focused companies, IoT, consumer electronicsAutomotive, industrial, consumer electronics

While both roles involve embedded systems, Senior Embedded Machine Learning focuses on integrating ML models into hardware, requiring knowledge of AI and data science. Embedded Software Engineers primarily develop software for embedded devices, emphasizing firmware and system-level programming. The roles overlap in embedded environment skills but differ in their core focus on AI versus traditional software development.

What cities are hiring for Senior Embedded Machine Learning jobs?

Cities with the most Senior Embedded Machine Learning job openings:

What are the most commonly searched types of Embedded Machine Learning jobs?

The most popular types of Embedded Machine Learning jobs are:

What states have the most Senior Embedded Machine Learning jobs?

States with the most job openings for Senior Embedded Machine Learning jobs include:

What other helpful pages are available for Senior Embedded Machine Learning?

Other pages related to Senior Embedded Machine Learning:

Senior Embedded Machine Learning jobs near you

Senior Embedded Systems & Digital Controls Engineer

Natick, MA • On-site

Busek Co Inc
Manufacturing • 51 - 200 employees
Learn more about Busek Co Incexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Job description

Job Description
Senior Embedded Systems & Digital Controls Engineer
Position Summary
Busek is seeking an experienced Senior Embedded Systems & Digital Controls Engineer to lead the design and development of embedded electronic control systems for advanced spacecraft propulsion technologies. This role is responsible for the architecture, design, implementation, integration, and testing of digital control electronics, embedded firmware, and operator interfaces that support both development and flight hardware.
The ideal candidate has experience designing embedded hardware using microcontrollers and FPGAs, developing embedded firmware, and creating reliable hardware and software interfaces for complex electromechanical systems. Working closely with multidisciplinary engineering teams, this individual will help bring new propulsion technologies from concept through flight qualification while strengthening Busek's in-house digital controls capabilities.
Essential Responsibilities
  • Design embedded electronic systems including schematics, PCB layout, and digital control architectures.
  • Develop embedded firmware for microcontroller and FPGA-based systems supporting propulsion power processing units (PPUs) and spacecraft interfaces.
  • Design and implement communication interfaces between propulsion electronics and spacecraft systems.
  • Develop operator control software and graphical user interfaces using Python, LabVIEW, or similar technologies.
  • Design and implement state machine-based embedded control systems for flight operations, sequencing, and autonomous control.
  • Perform hardware bring-up, debugging, integration, verification, and validation testing.
  • Participate in system architecture reviews, design reviews, and technical risk assessments.
  • Prepare engineering documentation including design specifications, interface control documents, test procedures, and verification reports.
  • Collaborate with Systems, Mechanical, Software, Manufacturing, and Test Engineering throughout the product development lifecycle.
  • Support environmental testing, qualification activities, and flight hardware certification.
  • Mentor junior engineers and contribute to the continued growth of Busek's embedded systems and digital controls expertise.

Qualifications
  • Bachelor's degree in Electrical Engineering or a related engineering discipline.
  • Strong background in embedded systems and digital electronics.
  • Experience designing embedded hardware using microcontrollers.
  • Experience developing embedded firmware in C/C++.
  • Experience with schematic capture and PCB design.
  • Familiarity with FPGA development and integration.
  • Experience with digital communication protocols such as SPI, I²C, UART, CAN, Ethernet, and RS-422/485.
  • Experience developing graphical user interfaces using Python, LabVIEW, or similar tools.
  • Knowledge of state machine design for embedded control systems.
  • Experience with hardware integration, debugging, and laboratory test equipment.
  • Strong analytical, troubleshooting, organizational, and communication skills.
  • Ability to work independently while collaborating effectively within multidisciplinary engineering teams.

Preferred Qualifications
  • Experience with Vorago ARM Cortex-M4 microcontrollers.
  • Experience developing electronics for aerospace, defense, or other high-reliability applications.
  • Experience with spacecraft electrical interfaces and avionics.
  • Experience supporting power electronics or power processing unit controls.
  • Familiarity with radiation-tolerant or radiation-hardened electronics.
  • Experience with requirements-driven development, configuration management, and design verification.
  • Experience supporting products from concept through qualification and production.

Why Join Busek
At Busek, you'll work on advanced propulsion technologies that are enabling the future of space exploration. Our engineers solve challenging technical problems while contributing directly to spacecraft flown by government and commercial customers around the world. You'll join a collaborative engineering environment where innovation, technical excellence, and continuous learning are valued.
Benefits
  • Competitive Salary
  • Performance Bonus Program
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Company Paid Life Insurance
  • Short-Term Disability Insurance
  • Long-Term Disability Insurance
  • 401(k) Retirement Plan
  • Paid Vacation
  • Paid Sick Time
  • Paid Holidays

U.S. Citizenship Requirement
Due to the nature of work performed under U.S. government contracts and applicable security and contractual requirements, this position is limited to U.S. citizens.

Apply