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Senior Software Engineer, Mapping Backend Services - Autonomous Vehicles

NVIDIAvia LinkedIn
RemotoUsSêniorCLT22 dias atrás

Salário Estimado

US$ 12.7k/mês

R$ 69.669,00 - R$ 11.000,00

0de 100

Regular

Score da Vaga

Descrição da Vaga

We are looking for a Senior Software Engineer for our Autonomous Vehicle efforts within the Mapping backend and services team.


The team has a variety of responsibilities, including cloud and backend services, distributed computing platform, map pipeline workflow management, CI/CD, etc.


We build platforms, web services, and tools to ingest terabytes of data through a complex pipeline with advanced deep learning models and math algorithms to produce the highest quality maps for self driving cars.


We operate in a fast-paced and highly experimental fashion and seek the best engineers passionate about solving problems with a strong background in software development and system design in cloud environments to deploy and maintain large-scale backend clusters.


Are you interested in building future technologies to create and serve HD maps to millions of self-driving cars across the globe? If so, join us! What You'll Be Doing • Developing microservice-based architecture to support mapping algorithms processing endless data streams in NVIDIA GPU data centers and public cloud.

Writing robust APIs that stores, queries, and retrieves PBs data. • Enabling services distributing maps for autonomous driving to millions of autonomous vehicles in real-time.
Collaborating with other engineering teams within Nvidia mapping including algorithms, client and validation • Supporting operations of mapping services.

What We Need To See • Proven experience building large-scale software systems and cloud services.

BS/MS degree in Computer science or related areas (or equivalent experience) • 5+ years of experience in the related field
Strong programming in C++, Java, Python, and/or Go. • Engineering excellence with good design abstractions, API stability, unit testing, leading best practices for other engineers to follow, and solid documentation.
Have worked with both relational (SQL), and distributed database technologies. • Background with Kubernetes, Apache Kafka, and stream-based integration patterns such as Apache Flink.
Strive to learn, solve, and own hard problems end to end. • Good communication and analytical skills with ability to work with multiple teams and priorities
Great team player but an independent self starter.

Ways To Stand Out From The Crowd • Prior knowledge of the mapping industry.

Experience building big data solutions that include data pipelining and processing. • Background with AWS services such as Lambda, RDS, EC2, EBS, ECS, DynamoDB, Batch.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.


The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.


You will also be eligible for equity and benefits .


Applications for this job will be accepted at least until February 6, 2026.


This posting is for an existing vacancy.


NVIDIA uses AI tools in its recruiting processes.


NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.


As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.


JR2009807

Requisitos

  • Proven experience building large-scale software systems and cloud services
  • BS/MS degree in Computer science or related areas (or equivalent experience)
  • 5+ years of experience in the related field
  • Strong programming in C++, Java, Python, and/or Go
  • Engineering excellence with good design abstractions, API stability, unit testing, leading best practices for other engineers to follow, and solid documentation
  • Have worked with both relational (SQL), and distributed database technologies
  • Background with Kubernetes, Apache Kafka, and stream-based integration patterns such as Apache Flink
  • Good communication and analytical skills with ability to work with multiple teams and priorities
  • Great team player but an independent self starter
  • Ways To Stand Out From The Crowd
  • Prior knowledge of the mapping industry
  • Experience building big data solutions that include data pipelining and processing
  • Background with AWS services such as Lambda, RDS, EC2, EBS, ECS, DynamoDB, Batch

Responsabilidades

  • The team has a variety of responsibilities, including cloud and backend services, distributed computing platform, map pipeline workflow management, CI/CD, etc
  • Developing microservice-based architecture to support mapping algorithms processing endless data streams in NVIDIA GPU data centers and public cloud
  • Writing robust APIs that stores, queries, and retrieves PBs data
  • Enabling services distributing maps for autonomous driving to millions of autonomous vehicles in real-time
  • Collaborating with other engineering teams within Nvidia mapping including algorithms, client and validation
  • Supporting operations of mapping services
  • Strive to learn, solve, and own hard problems end to end

Benefícios

The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4
You will also be eligible for equity and benefits

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Informações

NívelSênior
ContratoCLT
LocalUs
RemotoSim
MoedaUSD
Publicada22 dias atrás
FonteLinkedIn

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