Staff ML Infrastructure Engineer (Embodied AI)

TL;DR

Staff ML Infrastructure Engineer (Embodied AI): Building and deploying scalable platforms and tools for machine learning model training and evaluation workflows with an accent on distributed systems and MLOps. Focus on designing robust frameworks to accelerate the autonomous driving development cycle and mentoring engineering teams.

Location: Must be based in the US (Sunnyvale, CA office available for hybrid work).

Salary: $189,300–$290,700

Company

hirify.global is a global automotive leader dedicated to creating safer, smarter, and more connected transportation through human-centered design and advanced technology.

What you will do

• Lead the design and deployment of scalable platforms for ML model training and evaluation.
• Own complex technical projects end-to-end, including architectural decisions and trade-offs.
• Collaborate with partner teams to drive technical prioritization and system impact.
• Mentor junior engineers and interns to foster team growth.
• Contribute to technical interviewing and recruiting efforts.
• Take a holistic view of projects to ensure long-term system reliability and performance.

Requirements

• 5+ years of experience building large-scale distributed systems or advanced ML systems.
• Exceptional coding skills in Python or C++.
• Deep understanding of machine learning algorithms and MLOps practices.
• Expertise in building reliable, high-performance systems on modern cloud infrastructure.
• Proven track record of designing robust frameworks with durable APIs.
• Must be authorized to work in the US.

Nice to have

• Experience with distributed training methodologies and scaling across GPU/CPU clusters.
• Familiarity with deep learning frameworks like PyTorch or TensorFlow.
• Experience with advanced build systems such as Bazel or CMake.
• Proficiency with containerization and orchestration tools like Docker and Kubernetes.
• Experience with performance profiling and training optimization techniques.

Culture & Benefits

• Comprehensive health, dental, and vision insurance programs.
• Retirement savings plan and life insurance.
• Paid vacation and holidays.
• Tuition assistance programs and employee assistance programs.
• Company vehicle evaluation program with vehicle discounts.
• Inclusive workplace culture focused on diversity and belonging.