Latitude AI

Automated driving technologies

SeniorSoftwareEngineerScalableMachineLearning

$179–269k Dearborn, Michigan, United States FULL TIME
The Brief

“Senior Software Engineer - Scalable Machine Learning at Latitude AI. Skills: Scalable Machine Learning, Distributed Systems, Cloud Infrastructure, MLOps. Design cloud services. Implement cloud services”

What You'll Achieve.

Achieve optimal performance; Enable safer future of transportation; Enable sustainable future of transportation; Ensure delivery of high-quality software; Ensure delivery of production-ready software; Elevate team's software development standards

Industry & Context.

Automated driving technologies
Eligibility Requirements

Legally authorized to work in the United States on a permanent basis, Verification of employment eligibility required at the time of hire, Visa sponsorship available

What They're Looking For.

Must Have

Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience, track record of successfully delivering complex software projects from conception to production, Proven expertise in developing and optimizing machine learning data pipelines, data generation, and distributed model training, Experience designing, building, and operating large-scale distributed systems and cloud infrastructure, proficiency in Python and/or C++ for developing high-performance, production-quality software

Nice to Have

Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a closely related field, Hands-on experience with distributed machine learning frameworks and tools such as Ray, PyTorch, Dagster, LakeFS, or PyArrow, Experience with multi-sensor data fusion and processing techniques relevant to autonomous driving applications, Familiarity with safety-critical software development principles in automotive or robotics domains, Deep understanding of machine learning concepts, computer vision use cases, and the challenges of L2/L3 autonomy

What You'll Do.

Design cloud services

Implement cloud services

Develop solutions for data

Process training data

Drive MLOps practices

Integrate ML pipelines

Mentor junior engineers

Provide technical guidance

How You'll Work.

Team & Collaboration

Collaborate with cross-functional teams; Collaborate with perception experts; Collaborate with roboticists

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