Software Engineer, Systems ML - SW/HW Co-design Sunnyvale, CA +3 locations • Infrastructure +3 [...]

Meta; Sunnyvale (CA); On-site; USD 112,000 - 173,000; Full time

Job summary

An innovative tech company is on the lookout for a talented AI Software Engineer to join their Research & Development teams. This role offers a unique opportunity to work on cutting-edge AI infrastructure, tackling some of the most exciting challenges in the industry. You will apply your expertise in machine learning and hardware acceleration to optimize intelligent systems that enhance user experiences. Collaborating with diverse teams, you will influence project outcomes through data-driven analysis and mentorship. Join this dynamic environment where your contributions will shape the future of technology and innovation.

Benefits

Bonus

Equity

Benefits

Qualifications

• Bachelor's degree in a relevant technical field or equivalent experience required.
• Experience with AI infrastructure and machine learning frameworks is essential.

Responsibilities

• Optimize ML systems to enhance products and experiences.
• Drive efforts across teams and mentor engineers to improve quality.

Skills

AI Infrastructure

Machine Learning

Deep Learning

C/C++

Python

High Performance Computing

Performance Optimization

Education

Bachelor's degree in Computer Science

Master/PhD degree in Computer Science

Tools

PyTorch

Job description

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

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.

Responsibilities

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

Minimum Qualifications

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
2. 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.
3. Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python.
4. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

Preferred Qualifications

1. Master/PhD degree in Computer Science, Computer Engineering.
2. Experience with distributed systems or on-device algorithm development.
3. Experience with recommendation and ranking models.
4. Experience collaborating with other teams in a fast-paced environment.

Compensation: $56.25/hour to $173,000/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.