Perception Engineer, Autonomy at Serve Robotics

San Francisco, California, United States

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$190,000 – $235,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Autonomous VehiclesIndustries

Requirements

Strong experience in sensor processing, computer vision, robotics, or related fields
Proficiency in C++ and Python for real-time or robotics applications
Hands-on experience with camera, LiDAR, radar, or similar sensor data
Understanding of multi-sensor synchronization, calibration, and characterization
Experience with ROS/ROS2 or similar middleware

Responsibilities

Develop and improve sensor processing pipelines for camera and 3D sensors
Build and evaluate algorithms for sensor quality, resiliency, and noise handling
Characterize sensor performance, including timing, latency, and synchronization across modalities and build pipelines for monitoring across the fleet
Experiment with and integrate new sensors into the autonomy platform
Collaborate with perception, autonomy, and hardware teams to diagnose issues and improve multi-sensor performance along with sensor selection
Support sensor driver bring-up, configuration, and upgrades as required for current and next generation platforms
Own sensor calibration and health pipeline across the entire fleet of robots

Skills

Key technologies and capabilities for this role

LiDARRadarCamera ProcessingSensor AlgorithmsSensor SynchronizationLatency OptimizationNoise HandlingComputer VisionMachine LearningSensor DriversROSC++Python

Questions & Answers

Common questions about this position

What is the salary range for the Perception Engineer position?

The salary range is $190K - $235K.

Is this position remote or onsite?

This is an onsite position.

What skills are required for this role?

Required skills include strong experience in sensor processing, computer vision, or robotics; proficiency in C++ and Python for real-time or robotics applications; hands-on experience with camera, LiDAR, radar, or similar sensors; understanding of multi-sensor synchronization, calibration, and characterization; and experience with ROS/ROS2 or similar middleware.

What is the company culture like at Serve Robotics?

The team is agile, diverse, and driven, with a collaborative and respectful approach to solving complicated dynamic problems. They are tech industry veterans pooling skills in software, hardware, design, robotics, machine learning, and computer vision.

What experience will make my application stand out?

Experience experimenting with or benchmarking new sensor hardware, familiarity with sensor drivers, hardware APIs, or embedded systems, background in perception, SLAM, or sensor fusion, and experience with CUDA will make you stand out.

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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