Jobs
Job Overview
We are seeking a Software Engineer to help build the next generation of Physical and Edge AI platforms on Arm. In this role, you will work on foundational software that enables AI workloads, such as vision, robotics, speech, and sensor-driven intelligence, to be deployed, managed, and consumed reliably on-device, outside of the cloud.
You will focus on building platform-level services, developer tooling, and runtime infrastructure that improve developer productivity and make advanced AI capabilities accessible through clean, stable abstractions. This is a high-impact role working on systems that sit at the intersection of distributed systems, edge computing, and AI infrastructure.
Responsibilities
Platform & systems development
Design and implement reliable, scalable system services for edge and physical AI workloads.
Build runtime infrastructure that supports deployment, lifecycle management, and updates of AI-powered components on-device.
Develop abstractions that decouple applications from underlying AI frameworks, models, and hardware accelerators.
Developer experience & tooling
Create APIs, SDKs, and developer tooling that streamline how engineers build and integrate AI-powered features.
Improve end-to-end developer workflows, from local development to on-device deployment and updates.
Build observability and diagnostics capabilities to help developers understand performance, failures, and system behavior.
Performance, reliability, and scale
Design software that performs reliably under edge constraints such as limited resources, real-time requirements, and heterogeneous hardware.
Contribute to system-level performance optimization across CPUs and AI accelerators.
Ensure systems are maintainable, testable, and robust in production environments.
Cross-functional collaboration
Work closely with architects, product managers, and AI engineers to shape platform capabilities and developer-facing abstractions.
Collaborate across teams to design clean APIs, service boundaries, and integration points.
Contribute to reference implementations, documentation, and example workflows.
Required Skills and Experience
Strong experience designing and building systems software, platform services, or distributed systems in production.
Proficiency in C/C++, Rust, Go, or Python (language choice depends on component).
Solid understanding of:
Linux-based systems
Process isolation, IPC, and service lifecycles
API design and versioning
Experience building developer platforms, SDKs, or internal tooling.
Strong fundamentals in algorithms, data structures, and performance optimization.
Ability to work across multiple layers of the stack, from APIs down to system behavior.
Excellent problem-solving, communication, and collaboration skills.
“Nice to Have” Skills and Experience
Experience with container technologies and modern packaging/deployment approaches.
Familiarity with edge computing, embedded Linux, or real-time systems.
Exposure to AI/ML inference systems, even from a platform or infrastructure perspective.
Experience with heterogeneous computing (CPUs, GPUs, NPUs, DSPs).
Background in robotics, vision systems, or physical AI applications.
Contributions to open-source systems or developer tooling projects.
Familiarity with security concepts such as secure boot, isolation, or attestation.
Salary Range:
$202,300-$273,700 per yearWe 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.
Accommodations at Arm
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 at Arm
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 at Arm
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.
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About ARM

ARM
PublicThe future is built on Arm.
5,001-10,000
Employees
Cambridge
Headquarters
Reviews
3.3
4 reviews
Work Life Balance
1.5
Compensation
2.0
Culture
1.5
Career
1.5
Management
1.0
15%
Recommend to a Friend
Pros
Good coworkers and team support
Opportunity for significant contributions
Support from other managers
Cons
Lack of compassion during personal emergencies
Poor management decisions and leadership
Workplace safety issues
Salary Ranges
4,822 data points
L2
L3
L4
L5
L6
L2 · Financial Analyst L2
0 reports
$50,779
total / year
Base
$20,312
Stock
$25,390
Bonus
$5,078
$35,545
$66,013
Interview Experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Recruiter Phone Screen
4
Technical Interview
5
Final Interview
6
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
AI/ML Concepts
Past Experience
Culture Fit
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