Systems Development Engineer, Edge AI Platform Infrastructure, Hardware Compute Group
Amazon.com Services LLC•3h ago
United StatesOnsiteFull-timeMid Level3+ yrs exp
H-1B verified · 2310 LCAs
Top focus
Infrastructure EngineerSystems EngineerPlatform EngineerMl Infra EngineerEmbedded Engineer
- Join the Edge AI team within the Silicon and Systems Group (SSG) at Amazon. As a Systems Development Engineer, you will own the test and release infrastructure that validates custom AI accelerator silicon IP, kernel drivers
- ML inference software across Amazon's edge device portfolio. This role demands someone who understands hardware IP at the register level AND can build scalable automation around it. You will design hardware-in-the-loop test frameworks that exercise AI accelerator compute cores, DMA engines
- security subsystems on physical silicon — then build the CI/CD pipelines and AI-assisted workflows that make those tests run continuously, reliably
- at scale. You won't just run existing tests. You will create new test processes from scratch — defining what to measure, building the execution infrastructure, instrumenting coverage
- using AI to multiply your effectiveness. When an inference failure surfaces in production, you need the IP-level understanding to trace it from a CloudWatch metric through the kernel driver down to specific hardware accelerator behavior. Key job responsibilities Hardware-in-the-Loop Test Infrastructure: Design, build
- maintain automated test systems that execute on physical AI accelerator silicon across device pools. Own scheduling, device provisioning, firmware flashing, result collection
- failure triage at scale. IP-Level Technical Depth: Develop deep understanding of AI accelerator hardware IP (compute cores, DMA controllers, MMU/IOMMU, power domains) to write meaningful validation that exercises real silicon behavior, not just software interfaces. Test Process Creation: Define and implement new test methodologies and frameworks from the ground up. Build systems that are robust to device failures, scale across multiple platform generations
- produce actionable signal. AI-Powered Workflows: Apply AI fundamentals to force- multiply engineering effectiveness — automated log analysis, intelligent test selection, failure pattern recognition, AI-assisted code generation
- agentic CI workflows. Coverage & Quality Tooling: Implement and maintain code coverage, test coverage mapping, Static Code Analysis (SCA)
- Dynamic Code Analysis (DCA) integrated into the development workflow and CI gates. CI/CD Pipeline Ownership: Build and maintain release pipelines using AWS services (CDK, Lambda, CodePipeline) and embedded build systems (Yocto/BitBake) that take validated software from commit to production. Production Monitoring: Create dashboards and alerting for on-device inference metrics, crash rates
- performance regressions across the device fleet. Investigate issues spanning hardware accelerator behavior through kernel driver to userspace. Cross-Team Collaboration: Work with silicon validation, platform software, ML science
- QA teams to identify test gaps, define coverage targets
- close them systematically.
- 3+ years of systems development experience - Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering
- equivalent work experience - Proficiency in Python and at least one systems language (C or C++) - Experience designing and executing hardware-in-the-loop or embedded system test automation - Experience building CI/CD pipelines (Jenkins, CDK Pipelines, CodePipeline
- equivalent) - Understanding of hardware IP concepts: registers, DMA, interrupts, memory-mapped I/O
- similar low-level system interfaces - Experience with code coverage tooling, static analysis
- dynamic analysis integration in CI workflows
- Experience with AI/ML tools for engineering productivity (LLM-based automation, intelligent test selection, AI-assisted analysis workflows) - Experience with embedded Linux build systems (Yocto/OpenEmbedded, Buildroot) - Knowledge of neural network accelerator architectures, DMA engines, or custom silicon validation - Experience with AWS infrastructure (Lambda, CDK,CloudWatch, S3, Step Functions) - Familiarity with IOMMU, secure boot, ARM TrustZone, or hardware security concepts - Experience creating test infrastructure from scratch for new hardware platforms (not just extending existing frameworks) - Track record building scalable automation that other teams adopt - Experience with SCA tools (Coverity, CodeQL, Klocwork) and DCA tools (ASAN, TSAN, Valgrind, fuzzing) - Exposure to ML inference runtimes or neural network compilation Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff
- adhere to standards of excellence despite stressful conditions
- communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service
- and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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.
Required skills
PythonCC++AWSYoctoCloudWatchLambdaCDKCodePipelineSCADCAAIMLDMAembedded systems