Staff/Principal Software Engineer – AI Applications - Hybrid/Remote - Europe (incl. UK), United Kingdom
Originally posted 25 September 2026 by the employer.
About the role
This Staff/Principal Software Engineer role focuses on developing customer-facing components of Axelera AI’s Voyager SDK, including low-code model deployment, end-to-end pipeline development, and application integration and analytics. The role involves optimizing memory usage and synchronization on heterogeneous hardware targets and architecting low-level implementations of computer vision operators for specialized processing elements.
What you'll do
- Own the end-to-end technical strategy for a major area of the Voyager SDK's application layer.
- Set technical direction for image pre/post processing operators and decoders, creating reusable architectures.
- Drive the integration of industry-standard model frameworks into the SDK, defining reusable libraries and architecture.
- Define company-wide metadata representations for common model types and own libraries to evaluate deployed model accuracy.
- Take accountability for end-to-end pipeline latency and throughput across supported hardware platforms and build profiling tools.
- Mentor and develop other engineers and drive documentation standards and best practices.
What you'll need
- BS/MS in Computer Science, Electrical Engineering or equivalent, with 8+ years of hands-on experience in the semiconductor and/or AI industry.
- Deep, hands-on expertise with edge deployment frameworks such as OpenVINO or TensorRT.
- Experience with GPU computing APIs such as OpenCL and Vulkan.
- Strong track record applying model optimisation techniques such as quantization, compression and pruning.
- Expert-level proficiency in AI application development using Python, with extensive experience in ML libraries such as PyTorch and TensorFlow.
- Expert-level proficiency in Python/C++.
- Demonstrated ability to architect, build and deploy end-to-end pipelines with quantized models at scale, and to create reusable frameworks.
- Experience in training models using transfer learning.
- Proficient Linux skills.
- Practical knowledge of agile development using tools such as Jira, Git and GitHub.
Nice to have
- Experience with MLIR and ONNXRuntime.
- Experience mentoring and developing other engineers, and raising the technical bar for a team.
Skills: AI platform, Voyager SDK, model deployment, heterogeneous hardware, OpenVINO, TensorRT
This role has been open 1 day — well below the 68-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
509
|
Median days open
68 d
|
Median salary
$225k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Axelera AI | All employers we track in this specialty (509 roles · 75 employers) |
|---|---|---|
| Open roles in this specialty | 3 | 509 |
| Open roles in the wider Software, Firmware & Systems family | 6 | 5833 · 143 employers |
| Median days open | 5 d | 68 d (−63 d vs this employer) |
| Median salary (USD postings) | — | $225k |
Skills observed across this category: AI platform, Voyager SDK, model deployment, heterogeneous hardware, OpenVINO, TensorRT
Who's hiring in this category
- Qualcomm · 105 open roles · median 102 d
- NVIDIA · 81 open roles · median 65 d
- AMD · 46 open roles · median 61 d
- Micron Technology · 32 open roles · median 45 d
- Mobileye · 21 open roles · median 61 d
- Analog Devices · 14 open roles · median 30 d
How we counted: 509 open AI/ML Hardware Engineering (AI ML Hardware) roles from 75 employers tracked in the SemiconductorJobs index, counted 27 Sept 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.