Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
AI Transformation Lead, Hardware Engineering
Location
United States
Posted
22 days ago
Salary
$208K - $289K / year
Seniority
Lead
No structured requirement data.
Job Description
AI Transformation Lead, Hardware Engineering
Meta
Role Description Meta is seeking a principal-level AI Transformation Lead to define and drive the integration of artificial intelligence across hardware engineering programs within Reality Labs. In this role, you will establish the strategic vision for how AI-powered tools, workflows, and methodologies can fundamentally reshape how hardware systems are designed, validated, and brought to mass production for wearable devices, AR/VR headsets, and next-generation consumer electronics. You will operate at the intersection of hardware systems engineering and applied AI, partnering with engineering, research, and product leadership to identify high-leverage transformation opportunities and translate them into durable, scalable programs that accelerate hardware development cycles and improve engineering outcomes across the organization. Responsibilities - Define and own the multi-year AI transformation roadmap for hardware engineering, identifying opportunities to embed AI-driven tools and methodologies across design, simulation, verification, and manufacturing workflows. - Lead cross-functional programs that deploy machine learning and generative AI capabilities into hardware engineering workflows, including design space exploration, failure mode analysis, and predictive validation. - Establish frameworks for evaluating and prioritizing AI transformation initiatives based on engineering impact, feasibility, and alignment with hardware product roadmaps for wearables and AR/VR devices. - Collaborate with research and applied AI teams to translate state-of-the-art AI capabilities into practical hardware engineering applications, bridging the gap between research prototypes and production-ready tooling. - Communicate AI transformation strategy, progress, and trade-offs to hardware engineering leadership and executive stakeholders through structured written and verbal briefings. - Define success metrics and evaluation criteria for AI-augmented hardware engineering programs, and drive accountability across partner teams to deliver measurable improvements. - Identify organizational capability gaps and develop enablement strategies to build AI fluency across hardware engineering teams, including tooling adoption, workflow integration, and change management. - Engage with external technology partners, vendors, and the broader hardware AI ecosystem to inform Meta's transformation strategy and identify emerging capabilities relevant to consumer electronics development. - Provide technical and strategic guidance to engineering leaders and program teams navigating ambiguous, first-of-a-kind AI integration challenges in hardware development contexts. Qualifications - 12+ years of experience in hardware systems engineering, systems architecture, or technical program management for consumer electronics, wearable devices, wearables hardware, or related hardware product domains. - Experience leading large-scale technical transformation programs that span multiple engineering disciplines and organizational boundaries within a hardware development environment. - Experience applying AI, machine learning, or data-driven methodologies to hardware engineering workflows such as design automation, simulation, test and validation, or manufacturing process optimization. - Experience defining strategic roadmaps and driving organizational alignment across hardware engineering, research, and product leadership at the executive level. - Experience communicating complex technical strategy and cross-functional program trade-offs in writing to both engineering and non-technical executive audiences. Preferred Qualifications - Experience deploying generative AI or large language model-based tools within engineering design or verification workflows for consumer hardware products. - Experience building or scaling AI-enabled design space exploration, predictive failure analysis, or simulation acceleration capabilities in a hardware engineering context. - Familiarity with hardware development processes for wearable devices, including subsystem integration, bring-up, and mass production readiness. - Track record of establishing new engineering practices or centers of excellence that measurably improved development velocity or product quality across a hardware organization. Benefits - $208,000/year to $289,000/year + bonus + equity + benefits.
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Technology Control Automation Specialist
SoFiSoFi helps you save, spend, earn, borrow, invest, and protect your money–all in one app. NMLS 1121636
Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: The GRC Control Automation Specialist automates cybersecurity compliance, reducing manual effort and increasing audit reliability. This role blends risk management, cybersecurity operations, and automation engineering to streamline evidence collection and control validation, crucial for SoFi's growth and regulatory demands. The specialist will also manage due diligence inquiries, leveraging automation platforms to scale operations and accelerate business opportunities. Collaboration with control owners, engineers, and audit teams is key to identifying automation opportunities, implementing scripts or integrations, and validating outputs against frameworks like PCI DSS, SOX, and SOC 2. This position supports continuous control monitoring and audit readiness. What you’ll do: - Design and architect technology and cybersecurity controls monitoring and testing function, leveraging enterprise compliance automation platforms, agentic AI, tools and workflows. - Implement automated monitoring (anomaly detection) and surveillance methods to ensure systems operate within defined guardrails - Create risk and compliance dashboards, remediation performance metrics, ticketing criteria, remediation queue monitoring, tracking, measuring and communicating key performance activities for Technology and Cybersecurity library of controls - Automate manual cybersecurity and compliance controls and administration of the compliance automation platform for audit support (e.g.,SOC 2, SOX, PCI DSS). - Develop automated control enforcement mechanisms (e.g., scripts, APIs, policy checks), integrating controls as code logic into CI/CD pipelines, cloud environments, and endpoint tools. - Enable continuous control monitoring (CCM) by developing reusable logic and ensuring automated controls produce auditable evidence. - Support internal and external audits by providing access to accurate automated evidence and system logs. - Analyze automated test gaps, distinguishing false positives from true findings, and driving remediation. - As required, collaborate with security, engineering, business and other stakeholders to collect security questionnaire responses. - Maintain a control automation backlog and document all automated control logic. What you'll need: - Bachelor's degree or equivalent experience. - 3–5+ years in developing AI agents, cybersecurity, GRC, compliance operations, or DevSecOps. - Experience with enterprise AI tools and GRC and compliance automation platforms (e.g., Anecdotes, ServiceNow, Auditboard, Drata, Vanta, Safebase). - Strong experience in technology risk management, cybersecurity, or compliance - Experience integrating governance gates into CI/CD and MLOps pipelines - Strong knowledge of security frameworks and standards (e.g., NIST AI RMF, ISO42001, PCI DSS, SOX, GLBA, ISO 27001, NIST CSF, SOC 2). - Familiarity with SIEM, cloud platforms (AWS, GCP), IaC, and scripting (e.g., Terraform, Python). - Foundational knowledge of cloud architecture and cybersecurity principles. - Strong analytical and troubleshooting skills, with an eye for efficiency and risk reduction. - Exceptional organizational skills, attention to detail, and ability to manage multiple projects. - Excellent documentation, collaboration, and communication skills. - AI/LLM Knowledge: understanding of developer productivity tools like Claude Code, Cursor and Large Language Models, agent frameworks (e.g., LangChain, AutoGPT), and RAG architecture. - Security Engineering: Strong background in application security, cloud security (AWS/GCP/Azure), and threat modeling. Nice to have: - Direct experience with external auditors and regulatory bodies. - Professional certifications (e.g., CISSP, CISA, CRISC, AWS Solutions Architect, cloud security). - Experience in fintech or financial services. - Hands-on experience with API integrations or light scripting. - High-level stakeholder management, influence without authority, and ability to navigate ambiguity Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.The Company hires the best qualified candidate for the job, without regard to protected characteristics.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.New York applicants: Notice of Employee RightsSoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.


