Axelera AI

AI Engineer

• Own the end-to-end technical strategy for a major area of the Voyager SDK application layer
• Translate research papers, open-source repositories and product requirements into a roadmap for model deployment, pipeline development and application integration
• Set technical direction for image pre/post-processing operators and decoders
• Create reusable architectures and partner with the compiler team on difficult compilation issues
• Drive integration of industry-standard model frameworks into the SDK
• Define reusable libraries and architecture for low-code and no-code deployment of models and datasets
• Define company-wide metadata representations for model types such as bounding boxes and keypoints
• Own libraries for evaluating deployed model accuracy and visually rendering inference results on Axelera AI hardware
• Take accountability for pipeline latency and throughput across supported hardware platforms
• Root-cause bottlenecks and build profiling tools and frameworks for diagnosing performance issues
• Represent the Applications team's technical capabilities to business stakeholders, customers and industry
• Mentor and develop engineers
• Drive documentation standards and best practices across the team
• Help shape the Applications team's technical roadmap with commercial and product stakeholders

Staff/Principal Software Engineer – AI Applications

Developer Relations

• Grow the developer base using Axelera technologies
• Build trust and credibility within Axelera AI and third-party developer communities
• Engage audiences, promote products, and maintain a useful, well-moderated community
• Respond to technical questions across the community platform, GitHub, and social channels
• Help developers debug driver issues, SDK compatibility issues, and performance tuning problems
• Develop and share product updates, tutorials, social updates, and newsletters
• Use AI tools to draft, repurpose, and localize content while maintaining technical accuracy
• Maintain relationships with influencers, edge AI leaders, power users, hobbyists, and integrators
• Organize and host community events, webinars, and meetups, both in person and virtually
• Showcase Voyager SDK and Metis AIPU capabilities
• Gather and route community feedback to product teams
• Advocate for community-requested features and model zoo additions
• Grow the community while maintaining forum quality, categorization, tagging, and response-time SLAs
• Use AI-assisted tools to triage and route incoming questions
• Track response times, resolution rates, sentiment, growth, and other community health metrics
• Use AI-assisted analysis to identify trends and actionable insights
• Encourage Voyager SDK issues, forks, pull requests, and other open-source contributions
• Collaborate with community members and internal engineering to resolve public technical issues

Developer Relations, Community Manager

Application Engineer

• Test and adapt Axelera AI’s full-stack edge-AI solution, including accelerator silicon and software toolchain, against automotive market requirements
• Translate market and customer requirements into testable evaluation criteria
• Verify the Axelera stack against requirements and maintain a requirements-versus-capability view across releases
• Produce internal evaluation reports for Automotive, Product, and R&D
• Define and run benchmarks for ADAS perception, surround view/parking, BEV/occupancy, DMS/OMS, and sensor fusion
• Port, quantize, and optimize automotive workloads onto Axelera
• Build reproducible benchmark suites under automotive-realistic conditions
• Run competitive comparisons and label results by silicon revision, sample grade, and SDK version
• Maintain benchmark automation, regression tracking, and dashboards
• Identify and close gaps in the toolchain, runtime, OS/middleware integration, determinism, and diagnostics
• Prototype runtime integration into Linux/QNX, AUTOSAR Adaptive, Android Automotive OS, and ROS 2 environments
• Feed automotive requirements and thermal/duty-cycle profiles into SDK/product roadmaps and functional safety work
• Contribute to ASIL-B/ASIL-D software stack development, including safety runtime, diagnostics, and monitoring
• Assess Tier-1/OEM integration effort and provide prioritized findings
• Own or co-own technical work packages in collaborative R&D projects and automotive/edge-AI consortia
• Deliver milestones, demonstrators, and technical deliverables while coordinating with OEM, Tier-1, and research partners
• Track automotive AI/ADAS trends and competitive benchmarks and translate findings into recommendations for Product and Engineering
• Report to the Head of Automotive and collaborate with the Principal Automotive Solution Architect, software and AI R&D teams, Product Management, and Functional Safety Manager

Automotive Application Engineer

Engineer

• Develop a repeatable evaluation methodology for ML inference performance
• Investigate performance bottlenecks at hardware and software levels
• Develop and improve benchmarking tools covering throughput, latency, power, and accuracy
• Define reproducible procedures and establish a standardised results format for cross-platform comparisons
• Maintain a dedicated dashboard for performance visualisations
• Research and evaluate AI accelerator products from various vendors
• Gain hands-on experience with vendor SDKs, toolchains, flexibility, and limitations
• Track model support across platforms to identify strengths, gaps, and improvement areas
• Characterise full inference pipelines, including host-device transaction overhead and end-to-end performance metrics
• Ensure equivalent pipeline configurations across platforms using frameworks such as GStreamer
• Set up and maintain lab hosts across multiple hardware platforms
• Support onboarding of new evaluation hardware
• Synthesise findings into structured reports informing engineering and roadmap decisions

Intern – ML Inference Performance Engineer

General

• Perform voltage, current, power, signal integrity, and timing measurements on AIPU boards and related hardware
• Use oscilloscopes, multimeters, power supplies, DAQ systems, and other lab instrumentation
• Support the design, assembly, and configuration of test benches for board bring-up and validation
• Collect, organize, and analyze performance data to validate board behavior against specifications
• Contribute to schematic capture and PCB layout for ancillary/support boards using Altium Designer or KiCad
• Maintain lab equipment and ensure calibration schedules are respected
• Keep the workspace organized and safe
• Track components, boards, and equipment inventory and flag reorder needs
• Work closely with hardware and test engineers supporting AIPU board development

Intern – AIPU Board Development

Artificial Intelligence

• Own and grow a book of business across hyperscalers, neocloud/inference-as-a-service providers, enterprises, and frontier model vendors in the US
• Manage complex, technical sales cycles involving infrastructure engineering, procurement, capacity planning, and executive stakeholders
• Navigate direct buyer relationships, OEM/ODM partners, and channel or supplier qualification processes
• Translate technical differentiation such as power ceiling, performance-per-watt, and TCO into commercial outcomes
• Identify and close capacity commitments and design-in opportunities from technical evaluation through deployment
• Build and manage a qualified pipeline, forecast accurately, and report progress through Salesforce
• Represent Axelera AI at industry events, customer visits, and technical reviews
• Partner with product, field applications engineering, and marketing on go-to-market strategy for new silicon launches
• Create, negotiate, and drive contracts through close with legal and finance
• Build a qualified, forecastable pipeline from personal networks
• Secure at least one significant capacity commitment or design-in in the first year
• Establish presence at 2–3 key industry events in the first year

Staff/Principal Software Engineer – AI Applications

Developer Relations, Community Manager

Automotive Application Engineer

Intern – ML Inference Performance Engineer

Intern – AIPU Board Development

Director of Sales – Enterprise AI