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Lead and develop Frameworks software engineers in Gdańsk working on PyTorch, Triton, and related tools for Graphcore hardware. Responsibilities include coaching, feedback, performance management, priority alignment, cross-location communication, and hands-on technical contributions such as design, implementation, code review, debugging, testing, and performance analysis.

Verify RTL against architecture specifications for Graphcore silicon. Responsibilities include verification planning, functional coverage closure, test generation, failure diagnosis and triage, architect feedback, shared verification infrastructure, and cross-site communication. The role requires CPU or ASIC verification experience and proficiency in SystemVerilog, Python, C++, and Linux, with leadership and planning skills.

Verify RTL against architecture specifications for Graphcore silicon. Responsibilities include verification planning, functional coverage closure, architect feedback, test generation, failure diagnosis and triage, shared verification infrastructure, and cross-site communication. The role requires CPU or ASIC verification experience and programming across SystemVerilog, Python, C++, and Linux, with desirable experience in UVM, SVA, assembly, compilers, version control, and web technologies.

Integrate IP and subsystems into top-level SoC designs, develop RTL and microarchitecture, maintain build environments, and perform synthesis, linting, CDC/RDC, and timing checks. Support verification and physical design teams through interface handoffs, debug integration issues, improve automation flows, produce documentation, and coordinate consistent practices across sites.

Develop internal tooling and technical processes for building, testing, integrating, and releasing machine learning software components. Guide developers on build practices and dependency management, support reproducible builds in secure sandboxed environments, collaborate with QA and engineering teams to resolve integration issues, and contribute fixes to the ML software stack.

Develop internal tooling and technical processes for building, testing, integrating, and releasing Graphcore’s machine learning software stack. Guide developers on build practices and dependency management, collaborate with QA and software teams to resolve integration issues, contribute software fixes, and help ensure reproducible builds in secure, sandboxed environments.

Develop and optimize software framework support enabling Triton, PyTorch, and other machine learning frameworks to run on Graphcore hardware. Responsibilities include implementing features, compiler development, performance optimization, code reviews, technical documentation, upstream open-source collaboration, and coordinating complex technical work across teams.

Design, implement, optimize, and support PyTorch, Triton, and related framework features for Graphcore accelerators. Contribute to upstream PyTorch, maintain Python and C++ extensions, integrate compiler backend capabilities with torch.compile, review code, write documentation, and support users. Collaborate with software, AI/ML, research, and hardware teams while working in large open-source codebases.

Lead manufacturing test strategy for complex Circuit Card Assemblies, covering optical and X-ray inspection, in-circuit testing, boundary scan, and functional test. Define test methods, evaluation criteria, architectures, and diagnostic approaches to improve defect coverage and production quality. Architect, program, and debug board-level test systems while collaborating with engineering teams, suppliers, and manufacturing partners. Provide technical direction, mentor engineers, and strengthen future product test capabilities.

Develop and operate private cloud services supporting Graphcore AI systems. Translate requirements into reliable deployed services, using Infrastructure-as-Code, automation, testing, monitoring, and observability. Manage Linux-based infrastructure across cloud, virtualization, networks, storage, and pre-release hardware and software. Collaborate with software platform, datacentre, and product teams to maintain critical system performance and availability.