Machine Learning Security Research Fellow
Trail of BitsSalary not specified
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries
Requirements
- Pursuing a Ph.D. in CE/CS/EE with a strong background in computer architecture, operating systems, programming languages/compilers, applied cryptography, and/or AI/ML (or equivalent experience)
- Demonstrated expertise in at least one specific security area (applied cryptography, programming languages, software systems, AI/ML algorithms, computer architecture, etc.) with the ability to become the go-to resource within a team having varied backgrounds
- Strong publication and research collaboration records
- Experience with experimental research and development
- Experience with C, C++, Python, and/or scripting languages
Responsibilities
- Understand and analyze the potential vulnerabilities and risks in future systems for AI and AI-based systems
- Develop creative hardware, software, and algorithms to enable trustworthy AI systems with strong and verifiable security, privacy, and safety guarantees
- Collaborate with a diverse set of teams across the company, spanning software, hardware, research, and product groups
- Publish original research and speak at conferences and events
Skills
Computer Architecture
Operating Systems
Programming Languages
Compilers
Applied Cryptography
AI/ML Algorithms
CUDA
Security
Privacy
NVIDIA
Designs GPUs and AI computing solutions
About NVIDIA
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees
Benefits
Company Equity
401(k) Company Match
Risks
Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.
Differentiation
NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.
Upsides
Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.
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