[Remote] Software Engineer, ML Performance at Serve Robotics

United States

Serve Robotics Logo
$130,000 – $170,000Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Robotics, AI & Machine Learning, Artificial Intelligence, Autonomous VehiclesIndustries

Skills

Key technologies and capabilities for this role

Machine LearningRoboticsComputer VisionPyTorchONNXTensorRTCUDANVIDIA JetsonNVIDIA toolsNsightnvprofML model deploymentPerformance optimizationEdge hardwareEmbedded systems

Questions & Answers

Common questions about this position

What is the salary range for this position?

The salary range is $130K - $170K.

Is this role remote?

Yes, this is a remote position.

What skills and experience are required for this role?

Candidates need a Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, or equivalent, plus 3+ years experience in deploying ML models on embedded or edge platforms. Key skills include optimizing models with PyTorch/ONNX/TensorRT for NVIDIA Jetson, developing CUDA kernels, profiling with Nsight/nvprof, and techniques like quantization and pruning.

What is the company culture like at Serve Robotics?

The team is agile, diverse, and driven, consisting of tech industry veterans in software, hardware, and design who solve real-world problems collaboratively and respectfully using robotics, machine learning, and computer vision.

What makes a strong candidate for this ML Performance Engineer role?

A strong candidate has 3+ years deploying ML models on edge platforms like NVIDIA Jetson, experience with PyTorch/ONNX/TensorRT, CUDA kernel optimization, profiling tools like Nsight, and model compression techniques, along with a relevant degree and ability to collaborate across ML, embedded, and robotics teams.

Serve Robotics

Autonomous delivery robots for food and retail

About Serve Robotics

Serve Robotics is changing the delivery industry with its self-driving robots that provide sustainable and efficient delivery solutions. Instead of using traditional vehicles, these lightweight, autonomous robots deliver small items like food and retail products, reducing carbon emissions and traffic congestion. The company operates on a delivery-as-a-service (DaaS) model, allowing businesses in the food and retail sectors to subscribe and pay based on their delivery needs. Serve Robotics aims to lead in the autonomous delivery market by offering eco-friendly solutions that enhance customer experience.

Redwood City, CaliforniaHeadquarters
2021Year Founded
$51.6MTotal Funding
POST_IPO_EQUITYCompany Stage
Food & Agriculture, Robotics & Automation, Consumer GoodsIndustries
51-200Employees

Risks

Rapid expansion may strain resources and operational capabilities.
Integration of Vebu could divert focus from core delivery services.
Over-reliance on partners like Uber and Nvidia poses potential risks.

Differentiation

Serve Robotics uses zero-emissions rovers for eco-friendly food delivery.
The company offers delivery-as-a-service with a subscription-based revenue model.
Serve Robotics integrates Vebu's Autocado for expanded automation solutions.

Upsides

Recent $80M funding supports expansion to 2,000 robots by end of 2025.
Acquisition of Vebu enhances automation offerings beyond delivery services.
Appointment of Anthony Armenta boosts AI and software capabilities.

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