Staff Edge Compute Systems Engineer

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next.  Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

Vantor is currently seeking a Staff Edge Compute Systems Engineer to join our SpaceWrx Engineering team in Westminster, CO.

Our team within the SpaceWrx organization is responsible for defining and managing the design, development, and deployment of resilient, autonomous space systems that push advanced computation and AI closer to where data is generated: on-orbit.

We are seeking a senior Edge Compute Engineer fluent in embedded software, compute hardware, and on-orbit AI/ML integration. This role plays a central part in the full lifecycle of onboard processing — from architecture and hardware selection, through integration, deployment, and operational performance.

You will work at the intersection of:

· High-performance embedded software

· Compute hardware architecture

· Satellite interfaces and avionics integration

· Edge AI and real-time processing

Responsibilities:

· Contribute to the architecture and development of Vantor’s GPU-accelerated onboard compute platform through flight deployment.

· Help guide technical direction for NVIDIA-based embedded systems, balancing performance, power, reliability, and scalability.

· Design and optimize GPU-accelerated compute stacks for on-orbit AI/ML inference under strict spaceflight constraints.

· Develop high-performance C/C++ and GPU-accelerated components where efficiency is mission-critical.

· Lead full-stack performance optimization, including memory management, model acceleration, quantization, and runtime tuning.

· Integrate compute subsystems with spacecraft avionics, sensors, radios, and command/telemetry systems.

· Contribute to system bring-up, hardware-in-the-loop validation, profiling, and flight-representative testing.

· Design for reliability, fault tolerance, and autonomous operation in constrained or degraded environments.

· Evaluate emerging onboard processing approaches and applications and determine which warrant system-level integration.

· Deliver production-grade systems ready for operational deployment.

Minimum requirements:

· Must be a U.S. citizen and possess, or have the ability to obtain, a U.S. Government Secret security clearance

· Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, Systems Engineering, or equivalent experience.

· Significant experience developing software for space, aerospace, or other mission-critical embedded systems.

· Strong C/C++ expertise for performance-critical, real-time systems.

· Experience optimizing software in resource-constrained environments (power, thermal, memory, latency).

· Experience with Linux-based embedded platforms, cross-compilation, debugging, and performance tuning.

· Strong understanding of compute architectures (memory hierarchy, concurrency, scheduling, hardware acceleration).

· Experience deploying or optimizing AI/ML inference workloads in embedded or edge environments.

· Familiarity with spacecraft or aerospace subsystem interfaces (e.g., SpaceWire, CAN, Ethernet, PCIe, telemetry/command architectures).

· Ability to operate independently, communicate architectural decisions clearly, and drive technically complex initiatives with minimal oversight.

· Proven ability to collaborate effectively across multidisciplinary engineering teams.

Preferred Requirements:

· Experience with NVIDIA GPUs or GPU-accelerated systems (CUDA a plus).

· Familiarity with AI/ML inference acceleration frameworks (TensorRT, ONNX Runtime, or similar).

· Exposure to radiation-aware design or flight-qualified hardware considerations.

· Experience supporting system bring-up, HIL testing, or flight validation.

· Experience tuning inference performance in constrained edge environments.

· Background in distributed, fault-tolerant, or autonomous systems.

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Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings.  The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

● The base pay for this position within Colorado is: $102,000.00 - $170,000.00 annually. 

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire.  If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. 

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.