招聘

Senior Solutions Architect – Simulation Solutions 3D Reconstruction
US, CA, Santa Clara
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On-site
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Full-time
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3d ago
NVIDIA is seeking an outstanding Senior Solutions Architect to contribute to the development of forward-thinking simulation and AI platforms. Collaborate with internal and external teams to invent pioneering solutions for 3D Neural Reconstruction, Generative Video models, Omniverse. You will drive technical innovation in simulation, 3D reconstruction, generative models, and inference optimization, enabling the next generation of autonomous simulation.
We are looking for an outstanding engineer to contribute to the progress of all aspects of AI platform development. In this role, you will apply both AI and systems knowledge and technical leadership to scale development of NVIDIA's AI platform efforts. We seek a creative, self-starting and highly productive engineering professional to help us invent the future of computing. This is a role for a creative innovator who revels in rolling up their sleeves to solve important problems!
What you’ll be doing:
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Actively prototyping to develop deep expertise in NVIDIA Cosmos, Omniverse Platforms, Nu Rec and related technologies (APIs, USD, NIMs, Blueprints) through hands-on technical integration.
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Implement intricate technical solutions with partners—defining objectives, architecture, landmarks, and delivery plans while contributing code samples, architecture diagrams, and hands-on engineering support.
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Provide technical enablement resources like workshops, reference architectures, and integration guides to speed up adoption and standard processes while collaborating with engineering and leadership teams across partner organizations to identify goals, resolve technical challenges, and align on architecture and solution direction.
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Advocate for partner technical needs within NVIDIA—providing actionable feedback to influence product roadmaps and future technology direction while supporting product launches and go-to-market activities, ensuring seamless integration and technical excellence in customer-facing materials.
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Guide research and implementation in 3D reconstruction, integrating innovations like Gaussian splatting into autonomous simulation pipelines.
What we need to see:
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Bachelor’s Degree or Master’s in Computer Science, Electrical/Computer Engineering, or a related field (or equivalent experience).
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8+ years of hands-on experience in 3D reconstruction or relevant domains, with emphasis on autonomous systems, simulation, or generative AI.
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Expertise in computer vision, graphics, simulation and 3D reconstruction technologies.
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Programming expertise in Python and C++, with solid software design and debugging experience on Linux.
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Hands-on experience with DevOps tools (GitLab, Docker, Kubernetes).
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Excellent communication, collaboration, and presentation skills with the ability to engage technical and non-technical audiences.
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Highly motivated and passionate about driving technical innovation and sharing knowledge!
Ways to stand out from the crowd:
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Hands-on experience with LiDAR, radar, camera, IMU, and other sensor modalities.
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Familiarity with NVIDIA Cosmos, Nu Rec, Isaac Sim, Isaac Lab, and Omniverse for physical AI simulation and synthetic data generation.
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CUDA programming experience, model quantization, and inference acceleration.
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 16, 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
新闻动态
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
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NVIDIA Company Reviews
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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NVIDIA Interview Discussions
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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