AV Software Engineer

Vaga não está no LinkedIn

🕒 Ontem

🏄 California – Remoto

🏄 California – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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Humble Robotics

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2026

📦 Logística

🚗 Transporte

🚘 Automotivo

Logistics • Transport • Automotive

A Humble Robotics é uma empresa de tecnologia que desenvolve o Humble Hauler — um veículo autônomo elétrico de carga, sem cabine, projetado para integrar as funções de trator, trailer e motorista em uma única plataforma. A empresa destaca autonomia baseada em IA orientada por visão, capacidade dock-to-dock (incluindo descarga direta nos docks), segurança preditiva e sistemas redundantes à prova de falhas, além de um modelo operacional de serviço completo com suporte operacional remoto 24/7 e carregamento. O Humble Hauler é projetado para reduzir os custos por quilômetro através de um design elétrico mais leve que aumenta a capacidade de carga, elimina a dependência de diesel e tem como alvo operações logísticas em larga escala, confiáveis e em conformidade.

Descrição

• Optimize and deploy neural network models for onboard inference using TensorRT and custom CUDA kernels • Profile and reduce end-to-end latency across the autonomous driving stack—from sensor ingestion to control • Build and maintain the onboard C++ and Rust software infrastructure, including real-time data pipelines, inter-process communication, and hardware abstraction layers • Implement model quantization, pruning, and other optimization techniques to maximize throughput on embedded GPU platforms • Collaborate with ML engineers to ensure models are designed for efficient deployment, and with vehicle systems engineers to meet real-time safety constraints

🎯 Requisitos

• BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field—or equivalent industry experience • Strong proficiency in C++ and/or Rust for performance-critical systems • Hands-on experience with GPU-accelerated computing—CUDA, TensorRT, or similar inference optimization toolchains • Familiarity with ML model architectures (transformers, CNNs) and the ability to reason about computational cost and memory footprint • Eligible to work in the United States • Experience with onboard software for autonomous vehicles, robotics, or IoT/edge devices • Deep knowledge of CUDA, TensorRT, model quantization, and kernel-level optimization • Experience with Bazel or similar build systems for complex codebases • Familiarity with real-time robotic systems • Experience profiling and optimizing full-system performance (CPU, GPU, memory, I/O) on embedded platforms • Comfort operating as an early team member—high ownership, low ego, fast iteration

🏖️ Benefícios

• This role is eligible for base salary \+ benefits \+ equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location.