Principal Compute Architect jobs at Arm in United Kingdom, Cambridge

Develop in depth understanding of ML workload, develop algorithms and optimization techniques to drive PPA (Performance, Power, Area) on current and future Arm platforms.

1. Implementation of performance critical machines specific kernel or ARM assembly code on dedicated hardware accelerator and CPU to drive algorithm and architecture exploration
2. Collaborate with ML Algorithm development team to explore performance critical analysis
3. Develop internal tooling capabilities to support algorithmic and architecture exploration

• Develop performance critical assembly code to accelerate ML operations done in low precision arithmetic
• Develop performance critical kernel to accelerate fusing of multiple ML operations on accelerators
• Explore different quantization schemes and assess performance PPA trade off

• 3+ years experience in developing performance critical kernel on dedicated accelerator, GPU or CPU
• Graduate students in Computer Engineering, Electrical Engineering, Computer Science or other related technical fields
• Deep knowledge in machine learning, deep learning, and neural network design, optimization, and compression techniques
• Overall high-level knowledge of computer architecture, systems, and HW-SW co-design
• Ability to develop and work with large software systems in programming languages like Python
• Knowledge of cutting-edge deep learning libraries such as Tensorflow, and Pytorch
• Willing to learn and train large deep learning models on GPU-based systems

• Experience with ML model design, optimization, and HW-SW co-development methodology
• ML Model Optimization techniques targeting PPA (Performance, Power, and Area) of neural networks on ARM compute platforms
• Adaptability to the fast-moving ML industry and willingness to learn new technology in a very dynamic environment

Working on interesting new projects with leaders in the field is exciting, but we also know how important it is to receive support. That's why throughout your internship, you can expect regular feedback and development opportunities, social activities to connect with your peers, an end of internship celebration, plus the opportunity to be *considered for future Graduate positions (*subject to performance). #getreadytogrow

In addition to a competitive salary and rewards package, our on-the-job learning and mentoring/buddy schemes provide unparalleled learning and networking opportunities from the best in the industry.

In this role you will lead and oversee AD/ADAS software solutions within our Automotive Line of Business. You will drive the development of cutting-edge ADAS technologies from concept to production. You will work at the intersection of technology and strategy, evaluating the best ADAS solutions in the market and coordinating cross-functional efforts to integrate them into our platform.

This position requires an experienced professional with a strong track record in Product management for ADAS or Autonomous driving systems. You will be adept at bridging external vendors and internal teams to deliver high-quality, automotive-grade software solutions. As the AD/ADAS PM, you will be instrumental in defining system requirements and use cases, managing stakeholder communications, and guiding the team through the full development lifecycle to a successful production launch.

Key Responsibilities

• Define clear ADAS system requirements, functional specifications, and use cases that align with customer needs and product objectives. Ensure these requirements cover various driving scenarios (Operational Design Domains) and inform a robust system architecture design.
• Coordinate with internal software engineering teams and other departments (e.g. product management and go-to-market teams) to ensure proper implementation of ADAS features and alignment with overall product roadmaps
• Collaborate with product and engineering leadership to develop the ADAS technology roadmap and long-term strategy. Propose new features or improvements by analysing market trends and customer feedback, ensuring our solutions remain competitive and innovative.
• Act as the key liaison with external technology partners, Tier-1 suppliers, and ADAS vendors to integrate their solutions and ensure they meet our platform requirements. Manage these supplier relationships by coordinating joint development activities, monitoring deliverables, and ensuring on-time delivery of components with automotive-grade quality

Required Skills and Experience:

• Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering
• 10+ years of experience in software Product management or technical leadership, including a significant focus on ADAS, autonomous driving, or related automotive software projects
• 5+ year’s of experience with ADAS/AD Software (stack) development for L2+/L3 systems
• In-depth understanding of ADAS functionalities and architectures, including experience defining features, system requirements, and system architecture for driver-assistance or autonomous systems
• Good communication skills and a high level of organization. Capable of preparing clear technical documentation, reports, and presentations for both technical teams and executive stakeholders

Nice to have Skills and Experience:

• Experience working closely with automotive OEMs or Tier-1 suppliers on ADAS or autonomous driving programs in taking automotive software systems from concept to production (full product launch)
• Understanding of automotive development cycles and prior exposure to the automotive supplier ecosystem is a strong plus
• Hands-on knowledge of the automotive software development lifecycle and vehicle sensor integration is highly beneficial

• Familiarity with automotive safety and quality standards – such as ISO 26262 (functional safety), ASPICE, SOTIF, and other regulatory guidelines for ADAS – is highly desirable

Responsibilities:

• We apply our deep software expertise and collaborative spirit to work directly with leading technology companies, shaping the future of compute before silicon even exists.
• You will play a critical role in enabling and validating software stacks on pre-silicon platforms—including simulators, emulators, and prototypes—to ensure the seamless deployment of high-performance solutions when silicon arrives.This includes providing architectural design guidance, as well as designing, developing, and deploying machine learning workloads tailored to pre-silicon environments.
• You will work closely with multi-functional teams to resolve functional bottlenecks and deliver optimized, production-ready solutions.
• You will be responsible for building proof-of-concept ML solutions that showcase and validate the capabilities of forthcoming silicon platforms, helping to drive early adoption and inform future product direction and helping them to bring their visions to bear.

Required skills and experience:

• Good programming skills - preferably C++, OOP and scripting languages such as Python and Bash
• A desire to have a positive impact both within our team and the wider Arm ecosystem
• Strong understanding of machine learning fundamentals and frameworks such as PyTorch and TensorFlow

"Nice to have" abilities and knowledge:

• Performance evaluation experience and knowledge of potential pitfalls
• Knowledge of hardware modelling concepts, including configuration and latency definition files
• Graphics programming experience with mobile GPUs (e.g. using shaders, Vulkan) and graphics pipeline concepts
• Ability to use ADB (Android Debug Bridge) for device interaction and log capture
• Android application or background service development

Required Skills And Experience:

• This role is for a Principal DFT engineer with 15 years plus experience
• Technical leadership in DFT and ability to train/work with junior team members
• Experience with Perl, TCL, and/or python with ability to build and deploy generic DFT flows
• Proficient in Unix/Linux environments
• One or more core DFT skills are considered crucial for this position including some of the following
• Knowledge of at-speed testing, test insertion and test coverage assessment, test pattern development, scan compression, Memory BIST, Logic BIST, JTAG, IJTAG, fault simulation, debug, verification, SSN, designing and conducting experiments/tool evaluations.
• Experience with Siemens, Cadence and/or Synopsys DFT tools
• Qualified candidates will have a university degree (or equivalent) in Electronic Engineering, Computer Engineering, or other relevant technical subject area.

“Nice To Have” Skills and Experience :

• Familiarity with IEEE standards such as 1500, 1149.1, 1687 and 1838
• Familiarity with supporting silicon into volume production
• Knowledge of SSN and 3DIC
• Gained some exposure to digital ASIC frontend and backend design & verification processes
• Hands-on Synthesis and Static Timing Analysis (STA) experience
• Familiarity with SOC architectures (Auto/Infrastructure/Client) and low power design practices would be an advantage
• Understanding of Functional Safety as it applies to DFT
• Working knowledge of Siemens MBIST and LBIST tools
• Exposure to simulation and formal verification tools
• Exposure to AI tools for execution
• Exposure Arm MBIST interface

Responsibilities:

• We use our interpersonal and communications skills in direct contact with outstanding companies across multiple technology domains - we forge new paths and assist developers the world over to follow in our footsteps, helping them to bring their visions to bear.
• This is an excellent opportunity to contribute to the solutions powering the next generation of mobile games.
• We look forward to receiving your application - and potentially welcoming you to Arm.

Required skills and experience:

• Good programming skills - preferably C++, OOP and scripting languages such as Python and Bash
• A desire to have a positive impact both within our team and the wider Arm ecosystem
• Strong understanding of machine learning fundamentals and frameworks such as PyTorch and TensorFlow

"Nice to have" abilities and knowledge:

• Performance evaluation experience and knowledge of potential pitfalls
• Knowledge of hardware modelling concepts, including configuration and latency definition files
• Graphics programming experience with mobile GPUs (e.g. using shaders, Vulkan) and graphics pipeline concepts
• Ability to use ADB (Android Debug Bridge) for device interaction and log capture
• Android application or background service development

As an experienced quality assurance engineer, you will contribute to the work of the quality team on an exciting new range of Arm hardware devices aimed at AI use cases, applying deep technical expertise to ensure high performance, reliability and maintainability. You will implement processes to ensure quality is established in every stage during software development, and will collaborate with software teams to define, develop and automate tests for their components as well as the integrated solution.

• Working with software teams to establish and implement quality processes in every stage of the development cycle
• Test development for firmware and Linux-based systems (kernel, device drivers and applications)
• Test and workload automation with regular and reliable execution and effective reporting
• Delivering tasks with minimal guidance and contributing to the implementation of larger / more complex work

• Experience in developing test plans, software validation techniques and designing effective and efficient test cases
• Good understanding of computer architecture principles and hardware-software interaction, and proficient in C programming and common scripting languages such as Python
• Effective communicator and ability to collaborate well within and across teams

• Familiar with quality management standards such as ISO9001
• Experience with CI systems and test automation involving physical and simulated hardware devices

The engineering leader joining our team would exercise considerable freedom to experiment and find knowledge gaps we need to close. A typical day would include:

• Planning work from hypothesis to insight, with scope to adapt critical use cases and workloads to get the data required.
• Leading efforts analysing power traces to produce power efficiency data, making this repeatable for others on the team.
• Presenting our data and interests in a compelling manner in discussions with Partners and other teams in Arm.

We spend considerable effort to collect and refine data from consumer grade devices (aimed at people rather than engineers). We need our leaders in this domain to make the complicated simple, bringing the following experience and skills:

• Well-used strategies for handling experiments spanning many variables, working through ambiguity to bring clarity to both strategy and outcomes.
• A tenacious approach to problem solving, with the ability to adapt or write new microbenchmarks to specifically target experiment outcomes where required.
• Excellent technical communication skills for a range of audiences, from written reports to more traditional tech presentations.

The following are things that we would be looking for in our ideal new team member:

• Is self-motivated and always thinking of ways to improve how we work.
• Is proficient at using tools such as Python to post-process data, produce statistical summaries and performance reports. Bonus points if this is flexible enough to be reused over and over again!
• Experience in leadership, coaching, mentoring or line management.