Principal Engineer Tech Lead Manager, ML Acceleration at Jobgether – United States

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Engineer Tech Lead Manager, ML Acceleration in the United States.

This role is a high-impact leadership position responsible for building and guiding a new Machine Learning Acceleration team. You will combine hands-on technical expertise in ML systems, distributed training, and performance optimization with strategic leadership to accelerate ML model development cycles. Your work will directly influence the speed and efficiency of ML deployments, enabling rapid iteration and hot-fixing in production environments. The position requires recruiting and mentoring top engineering talent while fostering a collaborative, innovative, and inclusive culture. You will work closely with cross-functional teams, including ML research, product, and engineering, to ensure acceleration initiatives are seamlessly integrated. Success in this role will be measured by improvements in training efficiency, model performance, and team impact. This is an exciting opportunity to shape the future of ML infrastructure in a fast-paced, cutting-edge environment.

• Build, lead, and manage a high-performing team of ML and infrastructure engineers focused on acceleration initiatives
• Provide technical guidance, mentorship, and career growth opportunities for team members while fostering a collaborative and inclusive environment
• Define and execute the technical vision and strategy for ML acceleration across the organization
• Evaluate and implement cutting-edge technologies and methodologies to optimize ML training, including distributed systems, data pipeline efficiency, hardware acceleration, and model optimization techniques
• Collaborate with ML research, ML training platform, and product teams to integrate acceleration solutions effectively
• Act as a technical advocate for ML acceleration initiatives across the organization and communicate strategies to both technical and non-technical stakeholders
• Measure and report on the impact of acceleration efforts and continuously identify opportunities for optimization and innovation

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
• 8+ years of software engineering experience, including 5+ years focused on ML systems and model performance optimization
• 3+ years in a technical lead or management role with a proven record of building and leading high-performing teams
• Deep experience with large-scale ML model training and deployment in production environments
• Strong understanding of distributed systems and cloud computing platforms (AWS, GCP, Azure)
• Expertise in ML frameworks such as PyTorch or JAX and performance profiling for deep neural networks
• Strong programming skills in Python; C++ experience is a plus
• Familiarity with MLOps principles and practices
• Exceptional leadership, communication, and interpersonal skills with the ability to attract, hire, and retain top engineering talent
• Proven ability to drive complex technical projects from conception to execution
• Results-oriented mindset with strong problem-solving skills and adaptability in a fast-paced, dynamic environment

• Competitive estimated base salary: $240,000–$330,000 USD, with potential bonus and equity components
• Comprehensive benefits package including medical, dental, vision, 401(k) with company match, HSA, life insurance, and pet insurance
• Flexible, remote-friendly work environment with opportunities for collaboration and professional growth
• Career development and mentorship opportunities within a high-impact, fast-growing ML team
• Inclusive and diverse organizational culture valuing innovation, collaboration, and continuous improvement
• Chance to work on pioneering technology impacting autonomous vehicles and ML at scale