Embedded Software Engineer - Edge ML/Low SWaP Systems - R138

Posted 3 Days Ago
Be an Early Applicant
Herndon, VA, USA
In-Office
Entry level
Aerospace • Artificial Intelligence • Machine Learning • Defense
The Role
Deploy and optimize computer vision, signal processing, and machine learning algorithms on GPU-enabled embedded systems. Improve real-time performance on constrained low-SWaP platforms, profile CPU/GPU bottlenecks, select algorithms based on hardware constraints, containerize deployments, and produce Linux-based production software. Collaborate with machine learning and software engineers to transition models into operational environments.
Summary Generated by Built In
At Expedition Technology (EXP), we solve the nation’s toughest defense and intelligence challenges through advanced analytics, machine learning, and software engineering. Our teams work at the intersection of mission and innovation, delivering impactful capabilities in real-world environments.

We are seeking an Embedded Software Engineer to support the deployment of advanced data processing and machine learning solutions to low size, weight, and power (SWaP) systems. This role focuses on optimizing and deploying algorithms to GPU-enabled embedded platforms (e.g., NVIDIA Jetson) for real-time applications.

What You’ll Do:
·      Deploy and optimize computer vision, signal processing, or data processing algorithms on embedded hardware
·      Improve real-time, low-latency performance of ML pipelines on constrained systems
·      Profile CPU/GPU performance and identify system bottlenecks
·      Collaborate on algorithm selection based on hardware constraints
·      Containerize and deploy solutions using tools like Docker
·      Work in Linux-based environments and contribute to production-quality code
·      Partner with ML and software engineers to transition models into operational environments

Required Qualifications:
·      United States Citizenship – for US Government security clearance eligibility
·      Active Top Secret/SCI (TS/SCI) security clearance
·      Experience deploying software or algorithms to embedded or edge systems
·      Proficiency in Python or ability to learn quickly
·      Experience working in Linux environments
·      Experience optimizing performance in constrained environments
·      Strong problem-solving skills across software and hardware domains

Preferred Qualifications:
·      Experience with NVIDIA Jetson or similar GPU-enabled embedded platforms
·      Experience with video or signal processing pipelines
·      Familiarity with CUDA and CPU/GPU profiling
·      Experience with Docker or containerization
·      Experience with ML frameworks such as PyTorch or ONNX
·      Prior experience working on ML-focused teams

Additional Information
This role is focused on embedded systems with GPU acceleration rather than traditional microcontroller or FPGA-centric work. Candidates should be comfortable working across the full lifecycle of algorithm development and deployment in performance-sensitive environments.
Who is Expedition Technology?

Expedition Technology (EXP) designs, develops, and delivers innovative solutions with national impact for the defense and intelligence communities. We use machine learning, artificial intelligence, and other advanced algorithms, platforms, and technologies to solve our customers' most complex, demanding and urgent C4ISR challenges. Our culture promotes individual growth and opportunity, prioritizes a collaborative team spirit, and invites the intellectually curious to solve challenging problems creatively. Headquarted in Northern Virginia's high-tech corrdor, EXP is a rapidly growing, privately held company that pushes the boundaries of what is possible every day.

To learn more about EXP and discover why we are an award-winning workplace, visit our web site and follow us on LinkedIn.

Interested in joining our team? Let’s explore together.

Join Our Team and Enjoy Exceptional Benefits!

Expedition Technology (EXP) offers a flexible, self-directed benefits package that is designed to fit your individual needs. Here’s a glimpse of the outstanding benefits you can enjoy when you join our team:

  • Company-paid medical, dental, and vision insurance
  • Generous Time Off: Enjoy 11 paid holidays, up to 34 days of PTO
  • Robust 401(k) Plan: Benefit from up to a 12% company contribution, including a 3% safe harbor, 6% match, and up to 3% additional as a form of profit sharing.
  • Student Loan Repayment: Take advantage of our unique option to reallocate a portion of your 401(k) match funds to repay student loans, helping you achieve financial freedom faster.
  • Paid Parental Leave: Six weeks of paid leave for the primary caregiver and 2 weeks of paid leave for the secondary caregiver for you to bond with your new family member. 
  • Tuition Reimbursement: Pursue further education with up to $5,250/year available to support your continuous learning and growth.
  • Referral Bonus Program: Earn rewards for bringing talented individuals into our team.
  • Exclusive Entertainment Perks: Enjoy free tickets to sporting events, theater, concerts, and more, adding fun and excitement to your life.
  • Onsite Amenities: Stay fit and healthy with our free, onsite fitness center, active workstations featuring treadmill and bike desks, and enjoy our onsite cafeteria with reduced-cost options.
  • Inspiring Work Culture: Thrive in a collaborative, creative, and supportive culture where you are encouraged to push boundaries, take risks, and enjoy the rewards.

Join us and be part of a team that values your well-being and professional growth. Apply today and take the first step towards a fulfilling career with us!

EXP is proud to be an Equal Opportunity Employer that believes a diverse range of talent creates an environment that fosters creativity and innovation. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, genetic information, or protected veteran status. 

Skills Required

  • United States citizenship for U.S. Government security clearance eligibility
  • Active Top Secret/SCI security clearance
  • Experience deploying software or algorithms to embedded or edge systems
  • Proficiency in Python or ability to learn quickly
  • Experience working in Linux environments
  • Experience optimizing performance in constrained environments
  • Strong problem-solving skills across software and hardware domains
  • Experience with NVIDIA Jetson or similar GPU-enabled embedded platforms
  • Experience with video or signal processing pipelines
  • Familiarity with CUDA and CPU/GPU profiling
  • Experience with Docker or containerization
  • Experience with machine learning frameworks such as PyTorch or ONNX
  • Prior experience working on machine learning-focused teams
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
124 Employees
Year Founded: 2013

Similar Jobs

Rapid7 Logo Rapid7

Senior Director, Customer Innovation

Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Remote or Hybrid
United States
2400 Employees
211K-285K Annually

Rapid7 Logo Rapid7

Vector Command Specialist

Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Remote or Hybrid
United States
2400 Employees
89K-121K Annually

Wipfli Logo Wipfli

Consultant

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
United States
2900 Employees
117K-158K Annually

CrowdStrike Logo CrowdStrike

Sr. Security Researcher (Remote).

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
15 Locations
11000 Employees
85K-120K Annually

Similar Companies Hiring

Revel Thumbnail
Aerospace • Hardware • Robotics • Software
Marina Del Rey, California
60 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
43 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account