Principal Software Engineer, Team Lead – Perception Platforms

Vaga não está no LinkedIn

🕒 Outubro 19

🎰 Nevada, Massachusetts, +1 estados a mais – Remoto

infoinfo

💵 $240.000 - $330.000 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da Motional, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship Outubro 19

Ainda aberta no site da Motional. Verificada 2 horas atrás.

Logo of Motional

Motional

1001 - 5000 funcionários

Fundada em 2020

💼 Consultoria

📦 Logística

🏭 Manufatura

Consulting • Logistics • Manufacturing

A Motional é uma empresa líder no desenvolvimento de veículos autônomos, focando em tornar o transporte sem motorista uma realidade segura, confiável e acessível. Uma joint venture entre o Hyundai Motor Group e a Aptiv, a Motional tem estado na vanguarda da tecnologia sem motorista há décadas, criando veículos autônomos de Nível 4 da SAE para serviços de transporte por aplicativo e entrega. A empresa enfatiza segurança e inovação, aproveitando o aprendizado de máquina avançado e a tecnologia automotiva para construir veículos totalmente autônomos que se integram perfeitamente às redes de mobilidade, proporcionando uma experiência agradável para o transporte diário e entregas.

Descrição

• Build, lead, and manage a high-performing team creating, maintaining, and optimizing internal data, training, and evaluation pipelines for the perception modeling team • Provide technical guidance, mentorship, and career development opportunities to team members • Define team goals, priorities, and roadmap in alignment with company objectives • Work with ML engineers to identify and resolve technical challenges • Contribute directly to implementing improvements and optimizing machine learning workflows • Architect and execute technologies and methodologies accelerating ML development from concept through deployment and maintenance • Lead design and code reviews • Set quality standards and ensure adoption of best practices • Foster cross-functional collaboration aligned with organizational goals

🎯 Requisitos

• 7+ years of professional software engineering experience, including at least 3+ years in a formal or informal leadership or mentorship role • 2+ years of experience developing, operating, or supporting distributed machine learning training across clusters of GPU nodes • BS or MS in Computer Science or a related technical field • Passion for remaining hands-on and ability to contribute high-quality, production-level code to a shared codebase • Fluency in Python and familiarity with NumPy and Pandas • Proven backend development experience and experience leading the architecture of complex systems • Deep understanding of ML or Perception topics • Experience designing and delivering data visualization tools or internal engineering dashboards • Expert knowledge of software engineering principles, source control management, build processes, code reviews, and testing methods • Expertise in concurrency, parallel processing, and database systems • Experience with distributed computing frameworks like Kubernetes and Ray • Experience developing and deploying Perception systems for autonomous vehicles or robotics • Proficiency in modern C++ (C++14/17 or later) • Experience building products with current LLMs and MCP protocols • Experience with GPU-accelerated data processing • Familiarity with PyTorch, TensorFlow, or other modern ML development platforms • Experience in project management and successfully delivering complex technical projects • Excellent communication and interpersonal skills

🏖️ Benefícios

• Medical insurance • Dental insurance • Vision insurance • 401k with a company match • Health saving accounts • Life insurance • Pet insurance • Bonus or company equity may be included as additional compensation • Diversity and inclusive work environment

Candidatar-se

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Vagas Similares

🕒 Outubro 19

RTX

10.000+ funcionários

🚀 Aeroespacial

🎖️ Defesa

🏭 Manufatura

Full Stack AI/ML Developer building AI-enabled digital products for RTX’s aerospace and defense business. Designing cloud data platforms, APIs, user interfaces, and ML integrations.

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $157.200 - $298.800 / ano

💰 $200.000 Grant - RTX em 2024-11

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

🗣️🇺🇸🇬🇧 Inglês obrigatório

🕒 Outubro 19

DecisionPoint Corporation

51 - 200

🎖️ Defesa

💼 Consultoria

📦 Logística

Linux Web Server Administrator managing Apache, Tomcat, NGINX, and RHEL environments for DecisionPoint. Supporting secure production systems, troubleshooting performance issues, and remediating vulnerabilities.

🗣️🇺🇸🇬🇧 Inglês obrigatório

Apache

DNS

Firewalls

Linux

NGINX

🕒 Outubro 19

Osano

11 - 50

📋 Conformidade

☁️ SaaS

🤝 B2B

Senior full-stack engineer building Osano’s privacy-compliance platform with React, Node.js, PostgreSQL, AWS, and AI-assisted workflows. Owning products end to end in a remote U.S. role.

🇺🇸 Estados Unidos – Remoto (EUA)

💰 $11.000.000 Series A em 2021-09

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🗣️🇺🇸🇬🇧 Inglês obrigatório

🕒 Outubro 19

Northrop Grumman

10.000+ funcionários

🏭 Manufatura

📦 Logística

🎖️ Defesa

Supplier Quality Engineer overseeing aerospace supplier compliance, audits, and risk management for Northrop Grumman. Remote near Long Island with extensive supplier travel.

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $94.200 - $193.900 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🗣️🇺🇸🇬🇧 Inglês obrigatório

🕒 Outubro 19

Jabil

10.000+ funcionários

🚘 Automotivo

🎖️ Defesa

🏥 Saúde

Regional Manufacturing Engineering Lead providing DFM, NPI, process expertise, and manufacturing-line implementation support. Supporting Jabil’s sites, customers, audits, training, and continuous improvement.

🗣️🇺🇸🇬🇧 Inglês obrigatório

Assembly

Desenvolvido por Lior Neu-ner. Adoraria receber seu feedback — entre em contato por DM ou pelo e-mail support@remoterocketship.com
Follow Remote Rocketship on LinkedInFollow Remote Rocketship on InstagramFollow Remote Rocketship on FacebookFollow Remote Rocketship on TikTok