Job Description

Clearance Requirement: U.S. Citizenship required

Experience Level: Senior (7+ years)

Company Description

iMETALX, Inc. is a company that aims to create a future where space is accessible and sustainable for all. We provide space domain awareness (SDA) and in-space servicing solutions for governments and businesses. iMETALX is looking for an engineer to join the team to work on cross-domain applications focusing on In-Space Servicing, Assembly, and Manufacturing (ISAM) such as on-orbit refueling, repositioning, and repair. This will span areas around spacecraft autonomy, such as world view, perception, and controls, as well as testing and deploying the software on real systems. iMETALX is looking for a platform engineer to bring on the team to support product development for various on-orbit demonstrations on our roadmap.

Job Description:

We are seeking a highly experienced Platform Systems Engineer to lead the design, development, and management of robust software platforms supporting high-performance computing and AI-enabled systems. This role requires deep technical knowledge in embedded systems, platform scalability, GPU integration, and infrastructure performance—across both edge devices and on-premises cloud environments.

As a senior engineer, you’ll work cross-functionally with software and hardware teams to deliver resilient, scalable platforms that meet demanding power, performance, and security requirements.

Key Responsibilities

• Design, implement, and manage software platforms on Windows and Ubuntu using C++, Python , and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Collaborate closely with hardware and software developers to ensure seamless integration, with attention to GPU compatibility , power requirements , and resource constraints .
• Architect and optimize platforms for scalability , efficiency , and network interfacing , supporting high-throughput and real-time performance.
• Support and enhance both developer and user experience by refining platform strategies, tooling, and build systems.
• Monitor system performance, perform root-cause analysis, and proactively troubleshoot platform-level issues.
• Drive CI/CD improvements and support the automation of routine tasks , especially for pre-deployment validation and platform testing.
• Ensure data protection , platform security , and vulnerability mitigation across systems.
• Implement and maintain containerization strategies (e.g., Docker), supporting modular and portable deployment.
• Design and maintain build frameworks that support multi-platform compilation and hardware abstraction layers.
• Work with architectures such as x86, mingw, ARM, and integrate across edge devices and on-prem/cloud-hosted systems .
• Optimize memory usage and structures to ensure deterministic and efficient behavior in constrained, real-time environments, and error handling.
• Implement support for network protocols and platform-level messaging between distributed components.
• Document processes, platform configurations, and operational workflows for reproducibility and team alignment.
• Stay current with emerging technologies and best practices in embedded systems, platform development, and devops.

Qualifications

• U.S. Citizenship is required due to the nature of the work and customers.
• 7+ years of experience in embedded systems, platform engineering, or infrastructure development.
• Strong expertise with C++ , Python , and working in Linux (Ubuntu) and Windows environments.
• Hands-on experience with deep learning frameworks and supporting GPU-accelerated applications.
• Deep understanding of containerization , build systems , and CI/CD pipelines .
• Experience with edge computing , site-hosted cloud architectures , and real-time system constraints .
• Familiarity with network protocols , memory management , and system-level performance tuning.
• Experience with x86, mingw, ARM and other hardware architectures common to embedded and platform development.
• Ability to own cross-functional development efforts and influence platform direction with minimal oversight.
• Strong documentation skills and a commitment to operational excellence.

Preferred Qualifications:

• Experience with secure systems design or DoD/NASA platform standards
• Background in high-assurance, real-time, or safety-critical environments
• Contributions to open-source platform tools or embedded software frameworks

Why Join Us?

You'll be at the forefront of deploying intelligent systems in challenging environments—from space to the edge—while helping define the future of space AI platforms. We offer a highly collaborative team, cutting-edge hardware, and an environment where innovation is expected and rewarded.

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