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NVIDIA
NVIDIA

Pioneering accelerated computing and AI

Field Applications Engineer, Embedded Systems - NALA

职能嵌入式
级别中级
地点United States, Canada, Santa Clara
方式现场办公
类型全职
发布1个月前
立即申请

We are looking for a highly motivated Field Applications Engineer to support our customers using NVIDIA's Jetson platform for embedded industrial use-cases! This role is for an individual who has shown leadership in supporting customers and is an experienced specialist in embedded systems, software, and application development. Your primary responsibility will be to partner with sales and support customer technical engagement, working cross functionally with our internal teams as well as our partner ecosystem. Excellent communication and interpersonal skills and a capacity to work independently are key success factors for this role.

What you’ll be doing:

  • Work with customers to develop a keen understanding of their system architectures, challenges, objectives, and technical needs – and help them define highly valued solutions that meet these needs

  • Be the trusted advisor for our customers, help them with our Jetson SDK and edge AI inference software, supporting our sales partners and customers

  • Work closely with the NVIDIA application and engineering teams to ensure customers are successful in developing their embedded systems, answer their questions directly, via email, and on the NVIDIA developer forum

  • Work with customers to reproduce issues and help identify root causes

  • Provide technical and sales training to ecosystem and channel partners

  • Establish trusted relationships and communication channels with internal teams

What we need to see:

  • BS or MS in Electrical Engineering or Computer Science or equivalent experience

  • 2+ years of work-related experience in a high-tech electronics industry in an embedded design role or technical customer support role

  • Linux, embedded SW and embedded application expertise

  • C, C++, and Python coding

  • Strong analytical and problem-solving skills

  • Strong written and oral communications skills with the ability to effectively collaborate with management and engineering

  • Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects

Ways to stand out from the crowd:

  • NVIDIA GPU development experience

  • g Streamer, ROS, and/or OpenCV experience

  • Deep Learning and/or AI experience

  • Functional safety experience

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 178,250 USD for Level 2, and 132,000 USD - 207,000 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 7, 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.

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关于NVIDIA

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

员工数

Santa Clara

总部位置

$4.57T

企业估值

评价

10条评价

4.4

10条评价

工作生活平衡

2.8

薪酬

4.5

企业文化

4.2

职业发展

4.3

管理层

3.8

78%

推荐率

优点

Cutting-edge technology and innovation

Excellent compensation and benefits

Great team culture and collaboration

缺点

High pressure and expectations

Poor work-life balance and long hours

Fast-paced environment leading to burnout

薪资范围

79个数据点

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

7份报告

$170,275

年薪总额

基本工资

$130,981

股票

-

奖金

-

$155,480

$234,166

面试评价

5条评价

难度

3.0

/ 5

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience