Role at a glance
- Job function
-
Software Engineering & IT Systems Software Engineering
- Salary
- $151.2K – $204.6K/yr
- Location
- Seattle, Washington, United States
- Work arrangement
- On-site
- Experience
- Senior Level 6+ years of non-internship professional software development experience
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Role Summary
This Senior Systems Engineer role on the Amazon Special Projects team owns the on-node runtime for compute nodes, including the agent daemon, runtime sandbox, and local storage and caching layer. The work covers GPU discovery, node availability detection, and supporting low-latency ML inference workloads.
What You'll Do
- Design and implement the agent daemon on Linux, including GPU discovery, availability detection, and sandboxed container execution for...
- Architect the local caching system, including eviction policies, versioned manifests, disk budget management, and efficient update...
- Build VRAM management and graceful workload migration logic.
- Integrate hardware attestation with the security engineer and support diverse hardware configurations and fleet onboarding automation.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Requires 6+ years of software development and design experience plus 7+ years of systems programming in Rust, Go, or C++, with Linux internals and GPU tooling knowledge.
Required
- 6+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience
- 6+ years of non-internship professional software development experience
- 6+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production
- 6+ years of systems design, software development, operations, automation, and process improvement experience
- 7+ years of experience in systems programming (Rust, Go, or C++)
- Deep knowledge of Linux internals, including process scheduling, memory management, and storage subsystems
- Hands-on experience with container runtimes (Docker, containers, or custom sandboxes)
Preferred
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding...
- Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers
- Experience designing caching systems with constrained storage budgets (LRU, ARC, or custom policies)
- Background in edge computing, fleet management, or embedded systems engineering
- Familiarity with hardware attestation (TPM, TEE) from the device side
- Experience with storage performance profiling and optimization across hardware types
- Track record of building daemon/agent software that operates unattended for extended periods
Original job description
Content provided by the employer
Original job description
Content provided by the employer
As the Sr. Systems Engineer, you will own the agent daemon that runs on compute nodes, the runtime sandbox that isolates workloads, and the local storage and caching layer that determines which assets are resident and ready to serve. You will build the detection logic that manages node availability, and the GPU capability reporting that tells the scheduler exactly what each node can handle. Your work directly determines whether the platform can deliver low-latency ML inference — and whether it can do so reliably at scale.
Key job responsibilities
- Design and implement the agent daemon on Linux, including GPU discovery, availability detection, and sandboxed container execution for ML inference workloads.
- Architect the local caching system — eviction policies, versioned manifests, disk budget management, and efficient update mechanisms that minimize data transfer for large model files.
- Build VRAM management and graceful workload migration logic.
- Integrate hardware attestation with the security engineer and support diverse hardware configurations and fleet onboarding automation.
About the team
Amazon Special Projects is a small, high-autonomy team building new-to-Amazon infrastructure from scratch. The systems component is where software meets hardware: you will build the on-node runtime — the agent, sandbox, GPU manager, and local storage layer — that makes a compute node reliable, secure, and performant. This is systems engineering at its most tangible — your code runs on real hardware and must be resilient to everything the real world throws at it.
Basic Qualifications
- 6+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience- 6+ years of non-internship professional software development experience
- 6+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production
- 6+ years of systems design, software development, operations, automation, and process improvement experience
- 7+ years of experience in systems programming (Rust, Go, or C++)
- Deep knowledge of Linux internals, including process scheduling, memory management, and storage subsystems
- Hands-on experience with container runtimes (Docker, containers, or custom sandboxes)
- Experience with GPU tooling and management (nvidia-smi, NVML, CUDA runtime)
- Demonstrated ability to build software that runs reliably on heterogeneous hardware
Preferred Qualifications
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations- Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers
- Experience designing caching systems with constrained storage budgets (LRU, ARC, or custom policies)
- Background in edge computing, fleet management, or embedded systems engineering
- Familiarity with hardware attestation (TPM, TEE) from the device side
- Experience with storage performance profiling and optimization across hardware types
- Track record of building daemon/agent software that operates unattended for extended periods
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.