Software Engineer, Systems ML - SW/HW Co-design

The Rundown AI, Inc.; Fremont (CA); On-site; USD 70,000 - 208,000; Full time

Job summary

An innovative firm is on the lookout for an AI Software Engineer to join its dynamic Research & Development teams. This role involves applying advanced AI infrastructure techniques to enhance machine learning systems that drive impactful solutions. The ideal candidate will possess a strong background in AI frameworks and hardware acceleration, with the opportunity to mentor fellow engineers and influence cross-team projects. Join a company that is at the forefront of transforming digital connections into immersive experiences, and help shape the future of technology beyond conventional boundaries.

Benefits

Bonus

Equity

Health Benefits

Qualifications

• Bachelor's in Computer Science or equivalent experience required.
• 7+ years in AI framework development preferred.

Responsibilities

• Build and optimize intelligent ML systems for product enhancement.
• Mentor engineers and improve overall engineering quality.

Skills

Machine Learning

Deep Learning

C/C++

Python

AI Infrastructure

Performance Optimization

GPU Architecture

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

PhD in Computer Science

Tools

PyTorch

Job description

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.

Software Engineer, Systems ML - SW/HW Co-design Responsibilities:

• Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiences.
• Goal setting related to project impact, AI system design, and infrastructure/developer efficiency.
• Directly or influencing partners to deliver impact through deep, thorough data-driven analysis.
• Drive large efforts across multiple teams.
• Define use cases, and develop methodology & benchmarks to evaluate different approaches.
• Apply in-depth knowledge of how the ML infra interacts with the other systems around it.
• Mentor other engineers/research scientists & improve the quality of engineering work in the broader team.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design.
• Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python.

Preferred Qualifications:

• A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field and 7+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a Master's degree in Computer Science, Computer Engineering, relevant technical field and 4+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a PhD in Computer Science, Computer Engineering, or relevant technical field and 3+ years of experience in AI framework development or accelerating deep learning models on hardware architectures.
• Experience with distributed systems or on-device algorithm development.
• Experience with recommendation and ranking models.
• Technical leadership experience.

About Meta:

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.

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 [e-mail].

$70.67/hour to $208,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.