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Staff Software Development Engineer
Trellix
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This role is hybrid in nature with the Engineer able to commute into the Frisco, TX office 3-4 days/week.
Added 3 mins ago
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Support Engineer 2
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Redmond, WA
- $30 to $38 USD / hour
Job Title: Engineering and IT Support - Support Engineer 2
Added 3 mins ago
Lead Software Engineer - R&D Productivity Tools
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…and scale high-quality, custom solutions. As a Lead Software Engineer joining a new productivity tools team, you'll improve existing tools, shape the roadmap for new ones, train users, and…
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Software Design Engineer 4
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- $80 to $90 USD / hour
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SAP Technical Solutions Consultant
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Senior Software Engineer, Backend
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Platform Engineer II
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Integration & Test Engineer
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Software Test Engineer
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Sr Machine Learning Engineer - Consumer Incentives
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Software Engineer - Full Stack/ C#
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Software Engineer II
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Principal Application Engineer (Salesforce)
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- $179,300 to $224,100 USD / year
PointClickCare is searching for a Principal Application Engineer who will lead application development by writing and rigorously defending production-grade application code and…
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Test Engineer (HVP-DBB)
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Proficiency in programming/scripting in C++, Python, C#
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Network Dev Engineer II - AMZ9971279
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Staff Full-stack Engineer - - B2B Platforms & Payment Systems (Remote-Eligible)
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Write code to verify software for various embedded environments in C, C++, and Python.
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Software Engineering - Software Engineer II - 3054592
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Data & Analytics Platform
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Mainframe Network Engineer
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Software Engineer, Core Infrastructure
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Chief Engineer - Dimensional Engineering
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Engineer context deliberately, thinking in graphs for both agent workflows and the factory itself

ARM

Principal Software Engineer, AI Inference Runtime

Seattle, WA, United States

$262,700 to $355,400 USD / year

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Job details

Pay: $262,700 to $355,400 USD / year
Apply by: Nov 8, 2026
Experience: 8+ years of experience, or equivalent demonstrated impact, in ML systems, high-performance systems, compilers, kernel development, or production AI inference.
Posting language: English
Posted: Oct 8, 2026

Original job description

As a Principal 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 :

8+ 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:$262,700-$355,400 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 prog To view the full job description, <a href="https://www.aplitrak.com/?adid=YmJnZW5lcmljLjY3MDg3Ljg3NjlAYXJtY29tcC5hcGxpdHJhay5jb20">click here</>

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Skills

Scheduling
ML
C++
Rust
Python
Assembly
Communication skills

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