招聘
NVIDIA’s HPC compiler group wants to hire a Fortran compiler developer to join the team building one of the world's most important optimizing compilers. If you want a front-row seat to state of the art compiler development for high-performance computing, then we want you! We're implementing Flang with a keen interest in high-level optimization of Fortran, OpenACC, and OpenMP.
What you'll be doing:
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Solve difficult problems at the intersection of compilers, programming models, and high-performance computing architectures
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Implement and improve features in LLVM Flang, OpenACC, and OpenMP.
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Participate in the evolution of standard language parallelism for GPUs and Multicore CPUs
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Balance individual effort with teamwork throughout debugging, prototyping, and productization
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Discuss and refine software designs and implementation strategies with peers
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Partner with application teams to investigate interesting and meaningful compilation challenges from the HPC community
What we need to see:
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6+ years experience working on a production Fortran compiler
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Bachelors, Masters, or Ph.D. Degree in Computer Science, ECE or equivalent experience
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Proven understanding of compiler internals including experience with semantic analysis
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Knowledge of programming fundamentals, especially in C/C++, with a deep understanding of parallel computer architectures and optimizations
Ways to stand out from the crowd:
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Deep understanding of Fortran semantics
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Direct experience with Flang is a huge plus
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Experience writing code using Modern C++
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Familiarity with OpenACC, OpenMP, or CUDA
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You have a real passion for compiler development
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous program manager with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 5, 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
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
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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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