Senior Software Engineer, Next Gen Compute

Pittsburgh, Pennsylvania, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, Artificial Intelligence, AI & Machine Learning, Software DevelopmentIndustries

Requirements

Candidates should have experience with machine learning accelerators like GPUs, NPUs, and TPUs, along with programming environments such as CUDA or TensorRT. Strong experience in modern C++ development within a Linux environment and parallel/high-performance computing is required. A degree in a relevant technical field or equivalent practical experience is also necessary. Preferred qualifications include experience with ML frameworks like PyTorch or TensorFlow, embedded systems development for ARM-based SoCs, and MLOps/DevOps environments.

Responsibilities

The Senior Software Engineer will participate in the full lifecycle development of the AI compute platform for autonomous vehicles, focusing on ML model deployment, integration, and optimization on embedded platforms. Responsibilities include analyzing ML workload performance, optimizing ML models and software, designing and developing software tools for ML compute architectures, and collaborating with deep learning experts to enable algorithms on various hardware accelerators. The engineer will also optimize GPU/NPU resource utilization, lead system design efforts, and advise on technical matters.

Skills

Software Engineering

Machine Learning

Embedded Systems

AI Compute

ML Model Deployment

ML Model Optimization

ML Software Stack

GPU Optimization

NPU Optimization

Software Development

Software Testing

Software Integration

Software Optimization

Algorithm Enablement

System Design

Motional

Develops fully driverless robotaxis for urban transport

About Motional

Motional develops fully driverless vehicles, specifically robotaxis, aimed at transforming urban transportation. Their all-electric robotaxis are designed to navigate complex city environments safely and efficiently. Motional partners with ride-hailing and delivery services, providing them with advanced autonomous vehicle technology to enhance their operations and reduce costs. A unique aspect of Motional's service is its Command Center, which allows for real-time tracking of each robotaxi, enabling human agents to monitor performance and ensure passenger safety. Unlike many competitors, Motional focuses on integrating its vehicles into existing mobility networks, making driverless technology accessible and reliable. The company's goal is to make autonomous vehicles a safe and integral part of urban transportation.

Boston, MassachusettsHeadquarters

2020Year Founded

$5,000MTotal Funding

GROWTH_EQUITY_NON_VCCompany Stage

Robotics & Automation, Automotive & TransportationIndustries

1,001-5,000Employees

Benefits

401K: 401K with up to 7.5% match

time Off: Unlimited sick and vacation days

Transportation: Commuter and fitness benefits

Healthcare: 3 plan options to support diverse needs

IVF: Fertility assistance

Risks

Motional laid off 550 employees, indicating financial and operational challenges.

Aptiv reduced its stake in Motional, impacting operational capabilities.

Delays in autonomous vehicle deployment to 2026 could hinder market entry plans.

Differentiation

Motional offers a state-of-the-art Command Center for real-time robotaxi tracking.

The company focuses on all-electric, driverless robotaxis for urban environments.

Motional partners with ride-hailing services to integrate autonomous vehicles into their operations.

Upsides

Motional raised $475 million from Hyundai, indicating strong financial backing.

Partnerships with Uber and Shake Shack expand Motional's market reach in delivery services.

Increased investment in robotics highlights potential funding opportunities for Motional.

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