Top Engineering Jobs

Lead development of system-level test capabilities for multi-die AI processors, managing engineers and defining production, engineering, and characterization test solutions. Collaborate with silicon, test, DFT, manufacturing, and external vendors on fixtures, ATE, board-level testing, thermal control, test correlation, NPI transfer, silicon bring-up, defect identification, and yield improvement. Mentor junior engineers and support volume manufacturing.

Develop and deploy system-level test solutions for AI processors, including test content, automation, diagnostics, characterization, and manufacturing screening. Perform silicon bring-up, voltage/frequency margining, reliability testing, failure analysis, and cross-environment correlation. Develop scripts and tools for test execution, telemetry, analysis, and reporting. Support test hardware, production transfer, manufacturing ramp, and cross-functional collaboration with design, validation, manufacturing, and OSAT teams. Mentor junior engineers and improve test coverage and manufacturability.

Analyze power-delivery networks across silicon, package, and PCB to assess stability, droop, resonances, impedance, and transient response. Build PDN models, perform electromagnetic simulations, evaluate decoupling and layout decisions, validate models against hardware measurements, identify technical risks, and communicate practical recommendations through documentation and design reviews.

Design and develop automated, system, and integration tests for Kubernetes-based workload management systems supporting AI accelerator hardware. Investigate issues across infrastructure and application layers, improve CI/CD quality practices and test coverage, contribute to validation strategy, and mentor junior QA engineers. The role requires hands-on testing of cloud-native, containerized, and distributed systems in a hybrid Gdańsk office environment.

Validate and debug Graphcore hardware platforms, focusing on LPDDR5 memory subsystems, slow-speed interfaces, PCB issues, power behavior, and signal integrity. Create validation plans, perform board bring-up, tune memory systems, analyze failures, and drive root-cause resolution across hardware and firmware teams using laboratory instrumentation and margin analysis.

Support and maintain Debian and Red Hat Linux infrastructure across bare-metal and virtual environments. Manage DNS, DHCP, NFS, on-premises servers, networking, security patching, and engineering workflows. Automate infrastructure changes with Puppet, Ansible, or similar Infrastructure-as-Code tools and Git. Troubleshoot complex system and network issues, provide technical support, document solutions, and improve infrastructure deployment and maintenance practices.

Supports development and maintenance of digital twins for data laboratories using NVIDIA Omniverse and OpenUSD. Creates 3D models of spaces, equipment, and infrastructure; integrates mechanical, electrical, and facilities data; validates models against drawings and physical environments; documents assets and workflows; tests scenes; and collaborates with multidisciplinary engineers to resolve issues and improve digital twin usability.

Design, develop, and deploy UEFI firmware for hyperscale AI server platforms. Responsibilities include platform initialization, hardware configuration, security features, RAS capabilities, telemetry, firmware updates, CI/CD integration, hardware and firmware debugging, and collaboration with silicon, hardware, BMC, ODM, security, and validation teams.

Build and lead Graphcore’s SRE organization for a rapidly scaling AI supercomputing platform. Establish the operating model, hire and develop the team, define production readiness and incident-management practices, engineer reliability into compute, networking, storage, and infrastructure systems, and lead major incidents. The role combines organizational leadership with hands-on technical involvement across platform development, troubleshooting, observability, automation, SLOs, and 24x7x365 production operations.

Lead firmware QA for next-generation hardware platforms by designing test strategies, infrastructure, acceptance tests, and quality gates. Verify boot, configuration, monitoring, power sequencing, hardware interfaces, and telemetry. Debug cross-layer issues with hardware and analyzers, drive root-cause investigations, establish testing best practices, and mentor engineers across firmware, software, and platform teams.