Top Engineering Jobs

Lead a multi-site team responsible for functional post-silicon validation of AI SoCs and platforms. Plan and debug bare-metal C/C++ tests, deploy validation on first silicon, build Python automation and regression frameworks, analyze failures, improve test infrastructure, collaborate across hardware, firmware, software, and systems teams, and provide technical guidance and feedback to architects.

Develop system-level diagnostics and stress-testing software for next-generation AI SoCs. Extend Arm diagnostics technologies, build validation utilities, automate testing across server and rack-scale environments, and identify hardware failures involving CPUs, memory, accelerators, PCIe, firmware, and other platform components. Collaborate with hardware, firmware, and validation teams to improve observability, fault isolation, silicon bring-up, reliability, and performance characterization across multiple platforms and silicon revisions.

Lead post-silicon validation of advanced AI chips and platforms, including bare-metal C/C++ test development, first-silicon bring-up, debugging, and Python-based automated regression frameworks. Analyze failures, improve validation infrastructure and methodologies, collaborate across engineering teams, provide architectural feedback, and mentor engineers. Support software, firmware, production test, characterization, and new product introduction activities.

Lead power, thermal, and performance validation for AI compute silicon and systems across pre- and post-silicon environments. Develop validation strategies, automation frameworks, regression infrastructure, benchmark workloads, and reporting tools. Analyze performance data, debug hardware-software interactions, validate CPU, memory, interconnect, and high-speed I/O subsystems, and collaborate with architecture, firmware, software, and systems teams to improve product efficiency, reliability, and scalability.

Leads power, thermal, and performance validation for AI compute silicon and systems across pre-silicon and post-silicon environments. Develops validation strategies, automation frameworks, regression infrastructure, benchmarks, workload generators, and performance experiments. Analyzes system data, debugs hardware-software interactions, validates CPU, memory, interconnect, and I/O subsystems, and communicates findings and recommendations to cross-functional engineering teams.

Designs and validates digital hardware for Graphcore processor systems and test platforms. Responsibilities include schematic development, layout support, board bring-up, laboratory debugging, margin testing, validation planning, performance and reliability analysis, and production transfer. The role collaborates with silicon, firmware, software, architecture, and PCB CAD teams while working with processor interfaces, power delivery, clocks, resets, and server components.

Lead power-integrity engineering for high-performance AI compute systems across voltage regulation, package, PCB, and silicon. Define modelling strategies, optimize decoupling, analyze PDN impedance and transient behavior, resolve complex technical issues, and guide architecture and product decisions. Collaborate across silicon, package, board, power, systems, and validation teams while improving methodologies and mentoring engineers.

Lead the design, development, automation, and reporting of integration and system tests across firmware, BMC, Linux device drivers, and hardware. Own test strategy, infrastructure, feature validation, debugging, bug triage, root-cause analysis, CI/CD automation, code reviews, and quality improvements. Collaborate with hardware, software, and QA teams, mentor junior engineers, drive corrective actions, and provide technical leadership for complex system software testing.

Leads the operating model and new-product-introduction framework for AI data center technologies. Defines deployment, service, diagnostics, telemetry, readiness, and lifecycle workflows across compute, networking, storage, power, cooling, and site operations. Coordinates multidisciplinary teams, conducts operational readiness reviews, establishes quality metrics, resolves complex platform issues, guides automation, and communicates risks and recommendations to engineering and operations leaders.

Develop and extend low-level diagnostics and stress-testing software for next-generation AI SoCs. Build configurable validation tools covering CPUs, AI accelerators, memory, PCIe, storage, firmware, BMC, and other platform components. Investigate hardware failures, silent data corruption, timing issues, and system instability across multiple silicon revisions and environments. Collaborate with hardware, firmware, software, and validation teams to improve observability, fault isolation, silicon bring-up, and platform reliability.