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Software Engineer, HW/SW Co-Design

Meta

Menlo Park, CAJob$154–217K/yrSeen 3 days agoSeen in employer's feed 1 day ago

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At a glance

Compensation
$154–217K/yr
Location
Menlo Park, CA
Work Authorization
Not specified

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Job overview

Meta seeks a software engineer for its AI & Systems Co-Design team to define next-generation compute and storage architectures. The role analyzes workloads and infrastructure requirements, identifies hardware/software co-design opportunities, and shapes technology roadmaps with internal teams and external industry partners. The engineer also helps bring hardware roadmaps into production and may publish work in conferences and journals or contribute to open source.

Skills & qualifications

RequiredNice to have

Skills

Hardware ArchitectureCC++RustJavaPHPPythonProgrammingScriptingLarge-Scale InfrastructureDistributed SystemsFull-Stack Server Application AnalysisResponsible AI PracticesDistributed Systems DebuggingAI Skill DevelopmentPrompt EngineeringContext EngineeringAgent OrchestrationAI Workflow OptimizationCross-Functional CollaborationServer Architecture Optimization

Qualifications

5+ Years Programming Experience5+ Years Hardware Architecture ExperienceBachelor's in Computer Science or Computer Engineering or Related Field or Equivalent ExperienceMaster's or PhD in Computer Science or Related Field3 Years Technical Leadership Experience

Full job description

Summary:

Meta is seeking a software engineer to join our AI & Systems Co-Design team to drive the definition of our next-generation compute and storage architectures. As a key member of the team you'll work closely with internal software and platforms engineering teams to drive workload analysis and understand infrastructure requirements. You will drive technology path-finding, roadmap definition and co-design activities to deliver new capabilities and efficient systems for our fleet. Furthermore, you'll work with external industry partners to influence their roadmaps and build the best products for Meta’s Infrastructure. As part of the team, you will have ample opportunities to publish your work in leading conferences, industry journals and make open source contributions.Join our team and help shape one of the largest infrastructure footprints which powers Meta’s applications used by billions of people across the globe.

Required Skills:

Software Engineer, HW/SW Co-Design Responsibilities:

  1. Utilize extensive understanding of hardware architecture - CPUs (x86/ARM), Flash/HDD, memory and storage systems, networking, and GPUs - to identify key platform resource bottlenecks. Collaborate closely with software product teams to re-architect services, improve performance through algorithm redesign, reduce resource consumption

  2. Develop representative benchmarks (in C++/Rust/Python/Hack) to capture fleet requirements and drive early evaluation of upcoming platforms. Drive fleet-wide detailed workload analysis and keep ahead of evolving business needs and impact to compute and storage performance

  3. Identify novel hardware/software co-design opportunities based on industry trends and new paradigms

  4. Conduct pathfinding activities to quantify the value proposition for Meta and drive the roadmap definition

  5. Influence vendor hardware roadmaps and the broader ecosystem to align with Meta's requirements

  6. Partner with Product Engineering and Infrastructure Engineering teams to find the optimal way to deliver the hardware roadmap into production and drive adoption

Minimum Qualifications:

Minimum Qualifications:

  1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

  2. Bachelor’s degree in Computer Science or equivalent technical experience

  3. 5+ years of experience with programming and scripting languages such as C, C++, Rust, Java, PHP, Python

  4. Experience with large-scale infrastructure, distributed systems, full-stack analysis of server applications

  5. 5+ years of experience with hardware architecture, compute technologies and/or storage systems

Preferred Qualifications:

Preferred Qualifications:

  1. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

  2. Experience with developing, debugging and analysis of distributed systems such as spark, distributed caching, data-preprocessing, AI training etc

  3. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

  4. Experience working in a highly cross-functional environment in software organizations, hardware, supply chain, testing, and infrastructure teams

  5. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

  6. Master’s degree or PhD in Computer Science, or a related technical field

  7. 3 years of experience in a technical leadership role, leading projects, driving technical direction and mentoring

  8. Deep architectural knowledge of CPU, GPU, Accelerators, Networking, Memory, Flash/HDD Storage systems, DPU. Hands-on experience in building and optimizing server architectures/systems

Public Compensation:

$154,003/year to $217,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

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