Job Overview
At Arm, we develop technology that enables software and applications to run across billions of devices worldwide, from cloud to edge.
We are looking for an Automotive AI Solutions Engineer with substantial hands-on experience in advanced driver-assistance systems (ADAS) and/or autonomous driving to develop, integrate, and validate automotive AI solutions on Arm-based platforms.
In this hands-on role, you will validate AI models and integrate partner SDKs across hardware platforms and operating systems, working independently or with partners to enable automotive AI solutions on Arm-based platforms.
The work spans model deployment, software integration, functional validation, performance evaluation, and system-level debugging. You will build demonstrations, proofs of concept, and reusable reference implementations that help customers and ecosystem partners evaluate and adopt Arm technology for automotive applications.
Working closely with solution architects, internal engineering teams, automotive OEMs, Tier-1 suppliers, semiconductor partners, and software vendors, you will translate technical requirements into practical validation plans and engineering deliverables. Your findings will help improve platform compatibility, software performance, and developer experiences across the automotive ecosystem.
Key Responsibilities
- Build automotive AI demonstrations, proofs of concept, and reference applications for ADAS and autonomous driving on Arm-based platforms.
- Deploy and validate AI models across hardware platforms and operating systems using open-source or Arm-provided toolchains.
- Integrate and validate partner SDKs on Arm-based hardware, independently or jointly with partner engineering teams.
- Evaluate functionality, accuracy, and performance; investigate compatibility, integration, and system-level issues.
- Support customers and partners with technical troubleshooting, and document validation results, deployment procedures, and known limitations.
Necessary Skills and Experience
- Substantial automotive engineering experience, including hands-on work in ADAS or autonomous driving deployment, integration, or validation.
- Practical understanding of automotive AI pipelines, with expertise in at least one area such as perception, sensor fusion, localization, prediction, or planning.
- Experience deploying and validating AI models and integrating third-party SDKs across hardware platforms or operating systems.
- Familiarity with AI frameworks and deployment tools such as PyTorch, ONNX Runtime, or vendor-specific SDKs.
- Strong Python and C++ skills, proficiency in Linux development, and experience in system debugging and performance analysis.
- Strong problem-solving, communication, and documentation skills, with experience collaborating with customers or external engineering partners.
Preferred Skills and Background
- Experience with Arm-based automotive SoCs, Arm toolchains, and CPU, GPU, or NPU acceleration.
- Familiarity with automotive software platforms such as Automotive Linux, QNX, or AUTOSAR Adaptive.
- Experience with advanced automotive AI models, simulation, SIL/HIL testing, or sensor-data replay.
- Knowledge of automotive middleware, communication interfaces, and functional-safety concepts.
- Experience with cross-compilation, virtualization, or automated validation and benchmarking workflows.
Education
A bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Automotive Engineering, Robotics, or a related field, or equivalent practical experience.
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Use of AI in Your Application
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Recruitment Adjustments and Accommodations
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Hybrid Working
Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.