{"id":3343665,"url":"https://alion.io/job/arm-holdings-software-developer-automotive-cockpit","title":"Software Developer (Automotive Cockpit)","company":{"id":268,"name":"Arm Holdings","domain":"arm.com","url":"https://alion.io/company/arm","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"A","score":86,"open_postings":55,"ghost_share":0,"stale_share":0.564,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Shanghai, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"KVM","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Xen","optional":false},{"name":"Digital Twin","optional":true},{"name":"Edge AI","optional":true},{"name":"GStreamer","optional":true}],"status":"live","first_seen_at":"2026-10-27T16:29:49Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-01T02:53:26Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Overview\nAt Arm, we develop technology that enables software and applications to run across billions of devices worldwide, from cloud to edge.\nWe are looking for a Software Engineer to develop and enable next-generation automotive cockpit applications, including intelligent cockpit systems and in-vehicle infotainment (IVI), on Arm-based platforms.\nIn this hands-on role, you will work across the automotive software stack, including Automotive Linux, Android Automotive, hypervisors, application frameworks, and cloud connectivity. You will develop, integrate, optimize, and evaluate software on automotive-grade SoCs supporting multiple virtual machines (VMs) and system domains. You will also use virtual platforms and pre-silicon environments to support early software development and system validation.\nYou will collaborate with automotive OEMs, Tier-1 suppliers, operating system vendors, and application developers to enable automotive workloads on Arm-based platforms. Your work will involve identifying and resolving technical challenges across software layers, from applications and operating systems to hypervisors, firmware, hardware accelerators, and Arm architecture.\nAs intelligent cockpit systems continue to evolve, you will have opportunities to work with AI-enabled applications and technologies, including AI agents, large language models (LLMs), and multimodal AI. Prior experience developing AI or machine learning models is not required.\nYour contributions will help bring automotive applications to Arm platforms, improve software performance and compatibility, and provide technical insights that shape future Arm products, tools, and developer experiences.\nKey Responsibilities\nDevelop and deploy full-stack automotive software components on automotive Linux, Android Automotive OS, QNX, or similar operating systems.\nDevelop multi-OS and multi-VM automotive architectures by applying technologies such as Xen, KVM, QNX Hypervisor, or Type-1 hypervisors.\nEnable and integrate automotive cockpit applications and services such as in-vehicle infotainment, DMS/OMS pipelines, and agentic cockpit applications.\nPerform comprehensive system debugging, profiling, benchmarking, and assessment of performance spanning the application layer to the operating system, hypervisor, firmware, and hardware architecture. Identify performance constraints and integration issues across application layers, CPUs, accelerators, memory systems, and I/O devices.\nCollaborate directly with automotive OEMs, Tier-1 suppliers, software vendors, and application developers to clarify requirements, identify and address issues, develop proofs of concept, or reference implementations.\nNecessary Skills and Experience\nStrong professional experience developing and integrating software for automotive, embedded, mobile, robotics, or other complex edge-computing platforms.\nExtensive knowledge of Linux systems, covering kernel, processes, threads, scheduling, memory management, device drivers, IPC, filesystems, networking, and system debugging.\nPractical experience in at least one automotive or embedded operating-system setting, such as Automotive Linux, Android or Android Automotive OS, QNX.\nExtensive experience handling virtualization or hypervisor platforms such as Xen, KVM, QNX Hypervisor, or a comparable system.\nUnderstanding of multi-VM system architecture, device virtualization, virtual I/O, shared memory, interrupt handling, resource partitioning, and inter-VM communication.\nExperience in automotive cockpit or IVI software development.\nStrong system-level debugging and performance-analysis skills across complex software stacks.\nExperience using relevant debugging and profiling tools.\nKnowledge of application-to-hardware system architectures and the capability to identify issues spanning applications, frameworks, middleware, operating systems, hypervisors, firmware, and hardware.\nExperience integrating and validating software on development boards and virtual platforms.\nStrong problem-solving and analytical abilities, with the capability to convert complex system behavior into clear insights, technical advice, and engineering measures.\nAbility to collaborate across organizational and company boundaries with automotive OEMs, Tier-1 suppliers, silicon vendors, independent software vendors, and open-source communities.\nPreferred Skills and Background\nExperience with Arm architecture, including Armv8-A or Armv9-A, exception levels, virtualization extensions, GIC, SMMU, and hardware performance-monitoring features.\nExperience with automotive functional-safety or security principles.\nFamiliarity with automotive standards and interfaces such as AUTOSAR Classic or Adaptive, SOME/IP, CAN or CAN FD, Automotive Ethernet.\nExperience with camera and multimedia frameworks such as V4L2, Camera HAL, GStreamer, Codec2, hardware codecs, ISP pipelines, or automotive camera interfaces.\nExperience with virtual platforms, digital twins, hardware simulation, or pre-silicon software development.\nFamiliarity with on-device AI runtimes or accelerator integration is beneficial.\nEducation\nA bachelor’s degree or a master’s degree or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, Automotive Engineering, Robotics, or a related field.\nOur 10x Mindset\nAt 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: https://careers.arm.com/10x-mindset\nUse of AI in Your Application\nAt 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  so we can support you.\nRecruitment Adjustments and Accommodations\nAt Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . 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.\nHybrid Working\nArm’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.\nEqual Opportunities\nArm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. 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