Summary:

　　Meta Platforms, Inc. (Meta), formerly known as Facebook, Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, WhatsApp, and Novi further empowered billions around the world. Now, Meta is moving beyond 2D screens towards immersive experiences like augmented and virtual reality to help build the next evolution in social technology. Instructions on how to apply, click “Apply to Job” online on this web page.

　　Required Skills:

　　Lead Systems Engineer Responsibilities:

　　Own system architectures encompassing compute, displays/optics, EE, sensors, calibration, and firmware from initial conception through prototyping, product development, and production ramp.

　　Across a portfolio of products, work with ML scientists and SW engineering teams to understand requirements for ML workloads that need to be supported.

　　Drive selection/definition of compute silicon that has appropriate HW accelerators/cores for these workloads.

　　Lead product architecture for roadmap products, communicate trade-offs, program concerns and technical direction with specific focus on enabling ML-assisted augmented/virtual reality experiences.

　　Drive the technical scoping and development of new technologies to deliver generation-defining user experiences for future products on the roadmap.

　　Conduct detailed analysis and trade-off studies for complex systems.

　　Engage with technology project leads, and various component SMEs in creating the overall system architecture and platform as the starting point for product execution.

　　Deliver engineering solutions for the most challenging architectural problems in early phase concept development (ensuring translation of marketing requirements to product).

　　Communicate technology and product strategy effectively to both internal and external stakeholders.

　　Guide management and partner teams on long term technology investments.

　　Create proof-of-concept physical prototypes.

　　Collaborate with cross-functional teams on blank-slate and early-phase prototyping and product exploration, mapping it to strategic and product questions which need to be resolved.

　　Create hardware system metrics, KPIs, standards and tools.

　　Minimum Qualifications:

　　Minimum Qualifications:

　　Requires a Master’s degree in Computer Science, Computer Software, Computer Engineering, Electrical Engineering, Applied Sciences, Mathematics, Physics, or related field and four years of work experience in the job offered or in a computer-related occupation. Requires four years of experience in:

　　Electrical, systems or computer engineering

　　Architecture and systems engineering across electrical, firmware, audio and optical systems

　　On-device machine learning frameworks (TensorFlow or PyTorch), popular NNs and corresponding implementations on relevant hardware, architecture and specifications of compute blocks

　　Mainstream silicon IPs and SDKs for on-device machine learning, including at least one of the following: ARM Mali GPUs, Ethos NPUs, Cadence G/HIFI DSPs, or Qualcomm Hexagon MPUs

　　Integrating and delivering at least one of the following: technologies: displays, silicon, or sensors

　　Rapid prototyping and creating proof of concept models to share ideas and improve architectural decisions

　　Communication experience working with Product Development engineers, Product Managers and other hardware/software cross-functional teams

　　Working with partnerships teams and external partners at both a supply base and product level

　　Public Compensation:

　　$283,442/year to $311,000/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].