As a Software Engineer on our AI Inference Runtime team, you will set technical direction for critical components of distributed Inference runtime for running SOTA AI Models.
You will lead hands-on work across scheduling, batching, KV-cache management, memory allocation, distributed workload execution, kernel development and optimization, and performance benchmarking and analysis. Your work will directly influence how efficiently new models use available compute. Partnering with our AI Infrastructure, compute, and product teams to enhance the performance and efficiency of Arm’s AI platform.
Responsibilities:
• Define the architecture, interfaces, and roadmap for AI inference runtime capabilities, including abstractions that support evolving models, workloads, and compute platforms.
• Enable new model architectures end to end through operator support, production validation, and optimization of scheduling, batching, model execution, memory management, and KV-cache efficiency.
• Profile system bottlenecks and develop optimized kernels and data-movement paths across compute, memory, networking, and framework integration.
• Evaluate new inference techniques and build benchmarking, regression, validation, and safe-rollout systems to improve latency, throughput, reliability, and resource efficiency.
• Partner with cloud, framework, compiler, hardware, and research teams; lead technical reviews, mentor engineers, and establish meticulous performance-engineering practices.
Required Skills and Experience :
• 5+ years of experience, or equivalent demonstrated impact, in ML systems, high-performance systems, compilers, kernel development, or production AI inference.
• Deep understanding of modern AI inference, including model execution, Attention, MoE, batching, prioritisation, and KV-cache behavior.
• Strong programming skills in C++, Rust, Python, or a comparable language, with knowledge of concurrency, parallel programming, handling of memory resources, and data movement.
• Proven ability to profile, debug, and optimize performance across kernels, runtimes, frameworks, operating systems, and hardware.
“Nice To Have” Skills and Experience :
• Experience developing or modifying inference schedulers, cache managers, batching systems, disaggregated or distributed execution paths.
• Experience optimizing kernels using accelerator programming tools, assembly, or intrinsics, including attention, matrix multiplication, operator fusion, and low-precision execution.
• Familiarity with model parallelism, collective communication, high-performance networking, compilers, or graph optimization.
• Contributions to open-source ML runtimes, frameworks, compilers, or kernel libraries.
In Return:
You will be part of our AI Platforms team - A driven and diverse group passionate about developing foundational production capabilities to support AI inference at Arm. We provide a collaborative setting where your ideas can come to life quickly. The success of our AI projects will be directly influenced by your work, crafting the company’s AI inference capabilities and defining and operating production inference workloads. This is an outstanding opportunity to work with world-class teams and contribute to groundbreaking advances in AI technology. Join us in building the next generation of AI inference infrastructure!
Salary Range:
$209,100-$282,900 per year We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.
Our 10x Mindset
At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: careers.arm.com
Use of AI in Your Application
At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact accommodations@arm.com so we can support you.
Recruitment Adjustments and Accommodations
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
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.
Requirements
Must-haves
As a Software Engineer on our AI Inference Runtime team, you will set technical direction for critical components of distributed Inference runtime for running SOTA AI Models.
Define the architecture, interfaces, and roadmap for AI inference runtime capabilities, including abstractions that support evolving models, workloads, and compute platforms.
Enable new model architectures end to end through operator support, production validation, and optimization of scheduling, batching, model execution, memory management, and KV-cache efficiency.
Profile system bottlenecks and develop optimized kernels and data-movement paths across compute, memory, networking, and framework integration.
Evaluate new inference techniques and build benchmarking, regression, validation, and safe-rollout systems to improve latency, throughput, reliability, and resource efficiency.
Partner with cloud, framework, compiler, hardware, and research teams; lead technical reviews, mentor engineers, and establish meticulous performance-engineering practices.
5+ years of experience, or equivalent demonstrated impact, in ML systems, high-performance systems, compilers, kernel development, or production AI inference.
Deep understanding of modern AI inference, including model execution, Attention, MoE, batching, prioritisation, and KV-cache behavior.
Strong programming skills in C++, Rust, Python, or a comparable language, with knowledge of concurrency, parallel programming, handling of memory resources, and data movement.
Proven ability to profile, debug, and optimize performance across kernels, runtimes, frameworks, operating systems, and hardware.
Experience developing or modifying inference schedulers, cache managers, batching systems, disaggregated or distributed execution paths.
Experience optimizing kernels using accelerator programming tools, assembly, or intrinsics, including attention, matrix multiplication, operator fusion, and low-precision execution.
Familiarity with model parallelism, collective communication, high-performance networking, compilers, or graph optimization.
Contributions to open-source ML runtimes, frameworks, compilers, or kernel libraries.
Our 10x Mindset
Use of AI in Your Application
Recruitment Adjustments and Accommodations
Hybrid Working
Equal Opportunities
Nice-to-haves
“Nice To Have” Skills and Experience :
Application prep
Use the role’s language and application details while tailoring your materials.