Staff Software Engineer & Line Manager – Machine Learning (C++ & Vulkan) - Cambridge, United Kingdom
Originally posted 15 October 2026 by the employer.
About the role
This role combines hands-on software engineering and people leadership within Arm's Central Engineering Machine Learning Group. You will contribute to the open-source ML SDK for Vulkan to deploy machine learning workloads across various platforms and devices while managing and developing engineers.
What you'll do
- Support software engineers through coaching, feedback, career development, and performance support.
- Partner with Technical Leads to align engineering capacity and skills with technical priorities.
- Contribute hands-on to the design, implementation, debugging, testing, and maintenance of the ML SDK for Vulkan.
- Plan and coordinate work across roadmap development, ecosystem requirements, software quality, and maintenance.
- Strengthen team capability through hiring, onboarding, mentoring, and skills development.
- Collaborate with architects, technical leads, and engineering teams across the wider ML and Vulkan ecosystem.
What you'll need
- Strong modern C++ experience alongside scripting skills, ideally using Python.
- Proven experience designing, developing, debugging, testing, and maintaining complex software systems.
- Experience leading, mentoring, coaching, or managing software engineers, including providing constructive feedback.
- Experience coordinating engineering work across competing priorities and collaborating with technical leaders and architects.
- Knowledge of software development practices, including code review, CI, testing, release processes, and Agile development.
- Experience working across environments such as Linux, Android, emulators, or software models.
Nice to have
- Formal line management experience, including career development, goal setting, performance support, or recruitment.
- Experience in open-source development or large software projects with complex dependencies.
- Familiarity with Vulkan, OpenCL, CUDA, DirectX, Metal, or similar graphics and compute APIs.
- Experience with machine learning frameworks, inference runtimes, or model tooling.
- Knowledge of CI/CD, CMake, cross-compilation, packaging, or developer tooling.
- Experience in performance analysis, profiling, optimisation, or benchmarking.
- Exposure to Android, embedded Linux, mobile platforms, software models, or emulators.
Skills: Vulkan, C++, Machine Learning, SDK, GPU, NPU
This role has been open 1 day — well below the 55-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · GPU Software Stack
|
Open roles in category
258
|
Median days open
55 d
|
Median salary
$220k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Arm Holdings | All employers we track in this specialty (258 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 8 | 258 |
| Open roles in the wider Software, Firmware & Systems family | 130 | 6367 · 147 employers |
| Median days open | 1 d | 55 d (−54 d vs this employer) |
| Median salary (USD postings) | — | $220k |
Skills observed across this category: Vulkan, C++, Machine Learning, SDK, GPU, NPU
Who's hiring in this category
- NVIDIA · 127 open roles · median 58 d
- AMD · 55 open roles · median 57 d
- Intel Corporation · 29 open roles · median 15 d
- Qualcomm · 17 open roles · median 188 d
- Arm Holdings (this employer) · 8 open roles · median 1 d
- Graphcore · 4 open roles · median 8 d
How we counted: 258 open Infrastructure/Platform Software (GPU Software Stack) roles from 19 employers tracked in the SemiconductorJobs index, counted 29 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.