ML Tooling & Dev, Software Engineering Manager at Meta

Menlo Park, California, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Technical Management, Team Leadership, ML Tooling, Infrastructure Development, Performance Management, Continuous Learning, Technical Innovation, High-Performance Computing, ML Frameworks, Deployment Management, Monitoring, Incident Response, Hardware-Software Integration, Coaching, Mentoring

Industry

Software Development

Description

Meta is seeking a highly motivated and experienced Software Engineering Manager to join our team. As an engineering manager you will support, enable and empower your team, managing high performing engineers to make a meaningful impact on billions of people around the world. Software Engineering Managers are clearly characterized by progressive technical experience and demonstrated progression in management responsibility. Responsibilities Lead and manage a team of software engineers to deliver high-quality products and solutions Collaborate with cross-functional teams to drive technical innovation Develop and implement technical strategies to achieve business objectives Foster an environment of continuous learning, growth, and improvement Qualifications 8+ years of, or PhD + 4 years of software engineering work experience, including hands on technical management Demonstrated experience recruiting, building, structuring, and leading technical organizations, including performance management Bachelor of Science/Masters in Computer Science or equivalent practical experience Experience supporting, coaching, mentoring, and developing software engineers 2+ years of experience in managing a team of engineers with varied skill levels Experience leading teams in ML tooling and dev/prod infrastructure (profilers, debuggers, sanitizers, fuzzers, benchmarking, regression detection, testing, CI, SW/HW co-design) High engineering standards and demonstrated experience deploying robust, scalable, and reliable infrastructure systems in production Experience in hardware-software bring-up development environments (simulators, FPGA emulators) Experience with high-performance computation programming models (e.g., GPU CUDA, OpenCL, OpenMP, NCCL, RCCL) Knowledge of ML frameworks (PyTorch, TensorFlow, ONNX, MXNet) Experience with and basic understanding of hardware architectures (Intel SIMD, GPU, RISC-V, AI Accelerators) Proven experience launching and operating large-scale infrastructure services and projects Expertise in deployment, release management, and automation, ensuring smooth and reliable rollouts Experience implementing monitoring, alerting, and incident response for high availability and performance Experience integrating new and existing services with core infrastructure components (networking, storage, authentication, logging, monitoring) Communication skills for engaging with a broad developer community and XFN partners Experience and knowledge in ML model production (deployment, CI/CD, monitoring) and operationalizing ML models at scale

Responsibilities

Lead and manage a team of software engineers to deliver high-quality products and solutions. Collaborate with cross-functional teams to drive technical innovation and foster an environment of continuous learning and improvement.