Autonomy Engineer - Perception Optimization at May Mobility

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, RoboticsIndustries

Requirements

Strong programming skills in C++ and Python with a deep understanding of software optimization
Extensive experience in optimizing ML models for resource-constrained inference, including custom operations, model pruning, quantization, and knowledge distillation
Expertise in GPU programming, particularly CUDA, for high-performance computing and efficient parallel processing
Proficiency in model-platform co-optimization, ensuring efficiency across GPU, TPU, and CPU architectures
Hands-on experience with real-time data processing and advanced optimization techniques
Strong background in ML model inference optimization, balancing accuracy and latency for real-time applications
Familiarity with machine lea

Responsibilities

Work closely with across functional teams to co-define software and system requirements, analyze trade-offs, and shape the future generation of compute platforms
Collaboratively integrate perception algorithms and machine learning models with vehicle hardware and software, ensuring seamless operation within autonomous driving systems
Collaborate with ML infrastructure teams to develop and optimize distributed training infrastructure, automate deployment pipelines, and enhance system reliability and performance
Conduct rigorous testing and validation of perception algorithms in both simulated and real-world environments to ensure robustness, reliability, and safety
Develop and optimize perception stack software using CUDA and GPU programming to accelerate computationally intensive tasks and maximize efficiency
Lead the efforts of ptimize machine learning models for runtime efficiency, scalability, and performance across GPU, TPU, and CPU architectures, ensuring adaptability to various vehicle platforms
Stay at the forefront of machine learning, GPU programming, and autonomous driving technologies, integrating the latest advancements into the development process
Actively participate in feature design, code reviews, debugging, and issue resolution, driving improvements in perception software performance

Skills

Key technologies and capabilities for this role

Perception SystemsMachine LearningGPU OptimizationRoboticsAutonomous VehiclesSoftware Engineering

Questions & Answers

Common questions about this position

What is the location of this job at May Mobility?

The company is based in Ann Arbor, Michigan.

What salary or compensation does this role offer?

This information is not specified in the job description.

What key skills are required for the Autonomy Engineer role?

The role requires deep expertise in perception systems, machine learning, and GPU optimization, including CUDA and GPU programming, as well as experience in robotics or autonomous vehicles.

What is the company culture like at May Mobility?

May Mobility fosters a collaborative environment with cross-functional teams of experienced roboticists, perception, behavior, AI, and software engineers, emphasizing passion for building the future, solving real-world problems, and seeing the impact of work.

What makes a strong candidate for this Autonomy Engineer position?

A strong candidate is a Senior Engineer or above with a background in robotics or autonomous vehicles, deep expertise in perception systems, machine learning, and GPU optimization.

May Mobility

Operates autonomous vehicle mobility solutions

About May Mobility

May Mobility focuses on transforming urban transportation through autonomous vehicles. Their self-driving technology utilizes real-time, on-board simulations to anticipate and safely navigate unexpected road situations, which is a major challenge in the industry. This capability ensures that their vehicles can respond effectively to various scenarios, prioritizing the safety of passengers and other road users. May Mobility partners with cities and businesses globally, providing solutions that enhance mobility convenience, safety, and environmental sustainability. Their unique approach to handling unpredictable situations sets them apart from competitors, as they aim to improve urban transportation and make cities more accessible and visually appealing.

Ann Arbor, MichiganHeadquarters

2017Year Founded

$375.1MTotal Funding

SERIES_DCompany Stage

Automotive & Transportation, Government & Public SectorIndustries

201-500Employees

Benefits

Health, vision, & dental

Unlimited paid vacations & generous holidays

Paid parental leave

Stock options

Daily catered lunches & snacks

Flexible schedule

Risks

Increased competition from Waymo with a $5 billion investment poses a market challenge.

Federal scrutiny on safety practices could lead to regulatory challenges for May Mobility.

Wayve's $1.05 billion funding for AI advancements poses a competitive threat.

Differentiation

May Mobility uses real-time simulations for safe navigation in unexpected road situations.

The company partners with cities to enhance urban transportation with autonomous shuttles.

May Mobility's technology reduces pollution and human error, improving community economic benefits.

Upsides

Expansion to Japan shows global demand for May Mobility's autonomous solutions.

Partnerships with cities like Detroit enhance public transportation and accessibility.

Rising interest in autonomous B2B trucking offers new market opportunities for May Mobility.

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