OR · On-site
$104.40K - $143.40K/yr
Demonstrated technical proficiency and hands-on experience in Python, C/C++, Julia, and Lisp/Scheme * Solid mathematical and scientific foundation relevant to ML and compiler technologies Ways to ...
OR · On-site
$104.40K - $143.40K/yr
Demonstrated technical proficiency and hands-on experience in Python, C/C++, Julia, and Lisp/Scheme * Solid mathematical and scientific foundation relevant to ML and compiler technologies Ways to ...
$128.90K/yr
... creating LISP routines and Scripting Macros. · Proficient in Microsoft Office programs including but not limited to: Word, Excel, Access and PowerPoint. · Proficient in Adobe Acrobat Pro. · ...
$128.90K/yr
... creating LISP routines and Scripting Macros. · Proficient in Microsoft Office programs including but not limited to: Word, Excel, Access and PowerPoint. · Proficient in Adobe Acrobat Pro. · ...
$10.42 - $14.21
2% of jobs
$16.38 is the 25th percentile. Wages below this are outliers.
$14.21 - $18
40% of jobs
The median wage is $19.58 / hr.
$18 - $21.79
19% of jobs
$25.14 is the 75th percentile. Wages above this are outliers.
$21.79 - $25.58
16% of jobs
$25.58 - $29.37
4% of jobs
$29.37 - $33.16
4% of jobs
$33.16 - $36.94
1% of jobs
$36.94 - $40.73
2% of jobs
$40.73 - $44.52
3% of jobs
$44.52 - $48.31
4% of jobs
$48.31 - $52.10
4% of jobs
$10
$25
$52
| Aspect | Lisp | Python Developer |
|---|---|---|
| Required Credentials | Typically a degree in Computer Science or related field; certifications are uncommon | Degree in Computer Science or related; Python certifications available |
| Work Environment | Research, AI, academic settings, specialized software development | Web development, data analysis, automation, general software projects |
| Industry Usage | Less widespread, niche applications in AI and academia | Widely used across tech, finance, startups, and enterprise sectors |
| Search & Comparison Intent | Understanding Lisp's niche and applications | Comparing Lisp with popular languages like Python |
While Lisp is a specialized programming language often used in AI and academic settings, Python Developers work in a broader range of industries with more widespread adoption. Both roles require a strong programming background, but their typical environments and applications differ significantly.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are seeking a Machine Learning Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate will bring broad experience across the machine learning landscape-including reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and the analysis/manipulation of high-dimensional data-while also having strong foundations in compiler design and domain-specific languages.
What you'll be doing:
Become part of the team committed to progressing novel and inventive solutions in compilers and development tools, focusing on applied machine learning and artificial intelligence.
Join committed team members in leading tech sectors. Innovate in machine learning, system design, and more. Influence global products.
What we need to see:
BS/MS/PhD in Computer Science or related field (or equivalent experience) with focus on machine learning and compiler development tools
8+ years of software engineering and ML experience (tools development preferred)
Strong knowledge of compilers, code generation, and GPU architecture
Demonstrated technical proficiency and hands-on experience in Python, C/C++, Julia, and Lisp/Scheme
Solid mathematical and scientific foundation relevant to ML and compiler technologies
Ways to Stand Out From the Crowd:
Familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems
Expertise in developing and deploying AI/ML solutions to production environments and embedded systems
Hands-on experience building compilers or compiler components using the LLVM framework, including optimization passes, code generation, or frontend integration
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
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.
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.#deeplearningSourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Computer and electronic product manufacturing
10,000+ Employees
Santa Clara, CA, US
1993