招聘
NVIDIA is hiring senior engineers to develop its AI platform and more specifically its performance optimizations in deep learning frameworks using JAX, a tool that can differentiate between Python control code and Num Py code. Our goal is to deliver a polished, fast, modular and coordinated platform to handle data, training and analysis for a wide range of deep learning solutions using JAX. To achieve this and provide an excellent user experience, you have strong programming skills and excellent system design skills. You should have excellent communication and planning skills for this role. Come join us to build the next generation of tooling that will advance the numerical computing and machine learning research around the world!
What you will be doing:
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Play meaningful role in NVIDIA's effort in contributing to JAX.
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Design and implement JAX core components and drive peak performance on NVIDIA products.
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Work with AI applied researchers and leaders to build future-proof models
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Build tools that will increase the efficiency of teams developing AI-based systems.
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Work to bridge the gap between the latest in numerical computing, simulation and deep learning research and their applications in real world products.
What we need to see:
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BS in Computer Science or Computer Engineering or related field (or equivalent experience).
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6+ years relevant experience.
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C/C++ and Python programming.
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Experience with machine learning frameworks and their internals (e.g. Py Torch, Tensor Flow, scikit-learn, etc.).
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Proven ability developing customer-facing solutions, balancing feature requests and bugs.
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Proven technical foundation in CPU and GPU architectures, numeric libraries, modular software design.
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Highly motivated with excellent verbal and written communication skills.
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Ability to work successfully with multi-functional teams, principles and architects. Coordinates effectively across organizational boundaries and geographies.
Ways to stand out from the crowd:
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Understanding of JAX, Autograd, tracing, code generation and DSL compilers and their design.
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Understanding of deep learning training in distributed contexts: multi-GPU, multi-node, synchronous vs asynchronous.
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Background with software shipping cycles (dev, deploy, release, CI).
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Experience building distributed systems and services at large scale.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 292,500 PLN - 507,000 PLN for Level 4, and 375,000 PLN - 650,000 PLN for Level 5.
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关于NVIDIA

NVIDIA
PublicA 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
4.1
10条评价
工作生活平衡
3.5
薪酬
4.2
企业文化
4.3
职业发展
4.5
管理层
4.0
75%
推荐给朋友
优点
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
缺点
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
薪资范围
73个数据点
Junior/L3
Mid/L4
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
面试经验
7次面试
难度
3.1
/ 5
体验
正面 0%
中性 86%
负面 14%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
常见问题
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
新闻动态
Negotiating NVIDIA's Offer
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WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
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Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
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Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
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