Graphcore·Austin, Texas, United States·5 дн назад
Staff System Tests & Diagnostics Engineer
Ориентир по рынку≈ 1 278 000 – 1 730 000 ₽наша приблизительная оценка по 133 вакансиям этой роли и грейда, у работодателя вилка не указана
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Наша компания
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Чем предстоит заниматься
We are seeking a highly skilled System Tests & Diagnostics Engineer to develop, extend, and integrate specialized silicon validation and diagnostics tools for next-generation AI SoCs
Unlike traditional validation roles focused on executing test plans, this position is responsible for developing the diagnostic software and stress tools that expose hardware failures, characterize silicon behavior, and improve platform observability throughout bring-up and validation
You will work closely with Arm engineers to understand and extend existing diagnostics technologies while developing Graphcore-specific capabilities for future AI hardware
Role Summary
You will work with existing Arm-developed diagnostics technologies and extend them to support Graphcore's next-generation AI silicon
You will be responsible for developing system-level diagnostics and stress tools that integrate with an existing framework to detect data integrity, computational correctness, performance, and reliability issues across CPUs, AI accelerators, memory, storage, PCIe, firmware, BMC, and other platform components. Examples include silent data corruption (SDC) tests, power transient stress tools, and platform diagnostics, with opportunities to develop new diagnostics as future hardware capabilities evolve
This role requires close collaboration with hardware architects, firmware engineers, validation engineers, and diagnostics teams to understand new hardware capabilities and translate them into reusable diagnostic software
Learn and extend existing Arm diagnostics tools to support Graphcore’s AI platform
Develop specialized diagnostics and stress-testing software for CPU, memory, interconnect, PCIe, and other system components
Build reusable validation utilities that integrate into the existing validation framework
Develop tools that expose intermittent hardware failures including silent data corruption, timing-related issues, and hardware instability
Design configurable diagnostic applications supporting multiple silicon revisions, platforms, and execution environments
Develop automation for executing diagnostics across server and rack-scale validation environments
Design configuration-driven diagnostics supporting scalable parameterization and workload variation
Collaborate with hardware architects to understand new hardware capabilities and identify missing diagnostics
Work closely with firmware and validation teams to improve hardware observability
Debug low-level hardware, firmware, operating system, and driver interactions
Analyze diagnostic output and improve fault isolation methodologies
Develop software that enables engineers to reproduce and investigate difficult hardware failures
Contribute reusable libraries and utilities that improve engineering productivity across multiple validation teams
Candidate Profile
Наши требования
Arm-based server platforms
AI accelerators or high-performance computing systems
Silent Data Corruption (SDC) testing
Hardware stress testing
Power transient analysis
Hardware fault injection methodologies
Firmware validation
Silicon bring-up
Performance characterization
Hardware telemetry and observability
BMC firmware or server management
RAS (Reliability, Availability, Serviceability) technologies
Validate across subsystems
CPU scaling and cache behavior
Memory (DDR/HBM) bandwidth, latency, and NUMA effects
Interconnect contention under multi-core load
PCIe/I-O throughput, latency, and multi-device scenarios
High-speed I/O validation
What Success Looks Like
Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline
10+ years of experience developing hardware diagnostics, system validation software, firmware validation tools, or low-level systems software
Strong software development skills in Python and C/C++
Strong Linux systems experience
Strong understanding of modern server platform architecture, including how CPU, memory, PCIe, storage, networking, firmware, operating system, and device drivers interact within a complete system
Experience debugging hardware/software interactions across multiple layers of the platform
Experience developing diagnostics, stress testing, or hardware validation software
Experience with server platforms, embedded systems, or SoC validation
Strong analytical and debugging skills
Experience collaborating across hardware, firmware, software, and validation teams
Excellent communication and problem-solving skills
Дополнительно
Extend existing diagnostics technologies to support new Graphcore hardware
Develop new diagnostics tools for emerging hardware capabilities
Build reusable software components that integrate seamlessly with the existing validation framework
Improve hardware observability and root-cause isolation
Detect and characterize intermittent hardware failures that traditional validation techniques cannot expose
Deliver configurable diagnostics that scale across multiple platforms and silicon revisions
Work effectively across hardware, firmware, validation, and diagnostics teams to continuously improve platform quality
Why Join Graphcore?
This role provides a unique opportunity to work at the intersection of hardware architecture, diagnostics, and software engineering while helping define how next-generation AI systems are validated
Rather than maintaining an existing validation framework, you will develop the specialized diagnostics and stress tools that make that framework valuable. Your work will directly influence hardware quality, silicon bring-up, and long-term platform reliability for future AI infrastructure
USA Benefits