Senior/Staff ML Infrastructure Engineer

Company: Gatik
Location: Mountain View
Posted on: March 18, 2025

Job Description:

Who we areGatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe, consistent deliveries while streamlining freight movement by reducing congestion. The company focuses on short-haul, B2B logistics for Fortune 500 retailers and in 2021 launched the world's first fully driverless commercial transportation service with Walmart. Gatik's Class 3-7 autonomous trucks are commercially deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation.The company's proprietary Level 4 autonomous technology, Gatik Carrier, is custom-built to transport freight safely and efficiently between pick-up and drop-off locations on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier serves as an all-encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations.About the roleWe're looking for high-energy, creative, and collaborative candidates who want to work in a fast-paced, execution-oriented team. You will play an essential role in helping accelerate the development and deployment of our AV software stack. This position has a strong technical background, hands-on software engineering experience, and a knack for solving hard problems.This role is onsite at our Mountain View, CA office.What you'll do

• Own development of ML models end-to-end from data strategy, initial development, optimization, production platform validation, and fine-tuning based on metrics and on-road performance
• Lead efficient neural network development including quantization, pruning, sparsification, compression, and novel differentiable compute primitives
• Build the foundation models for the on-vehicle and offline applications; Develop metrics and tools to analyze errors and understand improvements in our systems
• Train and evaluate DNNs for the purpose of benchmarking neural network optimization algorithms - optimizing for latency and power consumption
• Design and implement a horizontally scalable, high-throughput cloud inference pipeline for evaluation and KPI calculation
• Streamline workflows to allow creation of verified, deployable artifacts from annotated data
• Support data preparation for training: building a horizontally scalable data preparation pipeline that is simple to use and doesn't delay training
• Support development of tools for introspection and visualization to understand what is going well and what can be improved in our workWhat we're looking for
  • Bachelor's Degree in Computer Science, Machine Learning or relevant field
  • Master's Degree with a focus on Machine Learning, Statistics, Optimization or a related field (preferred) or relevant work experience
  • 7+ years of experience working with large ML projects and/or building production ML systems
  • Excellent C++, Python, and/or CUDA programming skills
  • Familiarity with modern machine learning environments such as Pytorch
  • Expert experience with optimization techniques from high-level ML algorithms to low-level HW utilization
  • Experience in software architecture, system performance, latency, and data flow
  • Expert experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization
  • Strong analytical skills, especially for performance troubleshooting (e.g. profiling, roofline model)
  • Industry experience in building large-scale ML pipelines
  • Experience with cloud ML training pipelines in Azure (preferred)
  • High Performance Computing experience (preferred)More about GatikFounded in 2017 by experts in autonomous vehicle technology, Gatik has rapidly expanded its presence to Mountain View, Dallas-Fort Worth, Arkansas, and Toronto. As the first and only company to achieve fully driverless middle-mile commercial deliveries, Gatik holds a unique and defensible position in the AV industry, with a clear trajectory toward sustainable growth and profitability.We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy. By choosing the middle mile - with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors. Given extensive knowledge of Gatik's well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanned operations.Visit us at for more company information and for more open roles.Notable News
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    • Reuters: Taking care of our teamAt Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment's sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
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Keywords: Gatik, Mountain View , Senior/Staff ML Infrastructure Engineer, Professions , Mountain View, California