Our mission is to organize, optimize, and orient the world's computation.

What You Will Do

• Expand and extend our GPU cloud daemon
• Design and deploy market-based resource management systems
• Harden code and infrastructure to meet zero-trust standards
• Benchmark, profile, and eliminate bottlenecks across hypervisor, container, and network layers

What We Need

• Programming: Strong programming skills in at least one language, ideally C++
• Linux and Virtualization: Extensive knowledge of Linux kernel internals, containerization technologies, and virtualization
• Isolation Techniques: Deep understanding of workload and network isolation techniques in multi-tenant environments
• Cloud Security: Experience in securing and hardening cloud infrastructure, particularly in environments with untrusted workloads
• Multi-tenant Security: Strong background in workload and network isolation, network security, and cloud-native security practices
• GPU Security: Experience with GPU programming and an understanding of GPU-specific security concerns.

Benefits

• Comprehensive health, dental, vision, and life insurance
• 401(k) with company match
• Meaningful early-stage equity
• Onsite meals, snacks, and close collaboration with founders/tech leaders
• Ambitious, fast-paced startup culture where initiative is rewarded

Application Details

After submitting your application, our technical team reviews your credentials. If selected, you'll proceed through the following stages: 15 min - Initial screening (virtual); 45 min - Quick dive into Vast, systems and architectures (virtual); 1 hour - LLM-assisted coding assessment (virtual); 2 hours - Meet and greet with coding assessment (on-site). We aim to complete the interview process in about one week.

What You Will Do

• Design and optimize GPU kernels and tensor libraries
• Translate HPC techniques into scalable AI inference solutions
• Evaluate emerging architectures and resource management approaches
• Collaborate with technical leadership to improve GPU infrastructure efficiency

What We Need

• Advanced C++ (C++17/20 preferred)
• Expertise with at least one parallel framework (CUDA, HIP, SYCL, OpenCL, OpenACC, or similar)
• Strong background in systems optimization and HPC performance tooling

Nice To Have

• Familiarity with distributed training/inference frameworks

Benefits

• Comprehensive health, dental, vision, and life insurance
• 401(k) with company match
• Meaningful early-stage equity
• Onsite meals, snacks, and close collaboration with founders/tech leaders
• Ambitious, fast-paced startup culture where initiative is rewarded

Application Details

After submitting your application, our technical team reviews your credentials. If selected, you'll proceed through the following stages: Initial screening (virtual, 15 minutes); Quick dive into Vast, systems and architectures (virtual, 30 minutes); LLM-assisted coding assessment (virtual, 1 hour); Meet and greet with coding assessment (on-site, 2 hours). Our goal is to complete the interview process in two weeks.

What You Will Do

• Execute manual and exploratory testing for web apps + backend services
• Maintain existing manual test plans and write new plans for features being developed
• Design high-signal test cases and automation
• Test and validate software to ensure that it satisfies requirements and is defect free
• Analyze the root cause for testing failures and open appropriate tickets with sufficient findings
• Collaborate with the Product and Development teams to define acceptance criteria and ship reliable releases

What We Need

• 3+ years hands-on testing of web applications and APIs
• Strong knowledge of test methodologies and their corresponding tools
• Experience with writing test plans and test cases for assigned features
• Experience with test automation and lightweight scripting/coding
• Keen eye for detail
• Proficient with Linux

Nice To Have

• Passionate about the future of AI
• API testing with Postman/Newman or similar
• Containers and orchestration basics (Docker; Kubernetes concepts)
• Experience with load testing tools
• Familiarity with GPUs and GPU drivers—very nice to have, but not required

Benefits

• Work 5 days a week from the Vast.ai HQ in Westwood, Los Angeles in an ambitious, fast-paced, AI-centered startup environment
• Health, dental, vision and life insurance coverage
• Matching 401K

What You Will Do

• Collaborate with Operations Team: Partner with our operations team to ensure compliance with relevant standards such as SOC 2, ISO 27001, and GDPR
• Secure Architecture Design: Develop and implement secure architectures for our GPU cloud platform
• Security Assessments: Conduct security assessments, threat modeling, code reviews, and penetration testing
• Security Improvements: Develop and implement security fixes and improvements in collaboration with engineering teams
• Security Tools Management: Implement and manage security tools and systems, including SIEM, WAF, and EDR
• Documentation: Create and maintain security documentation, including policies, procedures, and technical guidelines
• Security Training: Provide security guidance and training to engineering teams to foster a security-first culture
• Incident Response: Participate in incident response activities and contribute to post-incident analysis and improvements

What We Need

• A problem-solver who thrives in a fast-paced environment
• Committed to continuous improvement and staying updated with the latest security practices and cloud technologies
• A team player with strong communication skills, able to bridge the gap between development and security
• Educational: Bachelor's degree in Computer Science, Cybersecurity, or a related field.
• Programming: Strong programming skills in at least one language, ideally Python or C.
• Linux and Virtualization: Extensive knowledge of Linux kernel internals, containerization technologies, and virtualization
• Isolation Techniques: Deep understanding of workload and network isolation techniques in multi-tenant environments
• Cloud Security: Experience in securing and hardening cloud infrastructure, particularly in environments with untrusted workloads
• Network and Application Security: Strong background in network security, application security, and cloud-native security practices
• Security Testing Tools: Experience with security testing tools and methodologies, such as OWASP, Burp Suite, and static/dynamic analysis tools
• Cybersecurity Frameworks: Familiarity with common cybersecurity frameworks, including SOC 2, NIST, and CIS Controls

Nice To Have

• Security Certifications: Relevant security certifications such as CISSP, CCSP, or OSCP.
• DevSecOps Experience: Experience with DevSecOps practices and tools in cloud environments.
• Regulatory Compliance: Familiarity with regulatory compliance requirements for operating cloud services.
• GPU Security: Experience with GPU programming and an understanding of GPU-specific security concerns.

Benefits

• Comprehensive health, dental, vision, and life insurance
• 401(k) with company match
• Meaningful early-stage equity
• Onsite meals, snacks, and close collaboration with founders/tech leaders
• Ambitious, fast-paced startup culture where initiative is rewarded

What You Will Do

• Improve the backend systems that power Vast.ai’s compute marketplace
• Integrate GPU provider onboarding, usage tracking, billing, and orchestration APIs
• Develop scalable infrastructure for workload scheduling and resource management
• Optimize pricing and marketplace logic for efficiency and transparency
• Benchmark, profile, and harden systems for performance, reliability, and fault tolerance
• Collaborate with product and infrastructure teams to shape the future of decentralized compute

What We Need

• Distributed Systems: Experience building high-throughput backend systems or compute clouds
• Compute Orchestration: Familiarity with Docker, or custom scheduling frameworks
• GPU Infrastructure: Understanding of GPU provisioning, driver management, and workload scheduling
• Billing & Metering: Implemented or integrated usage-based billing and account credit systems
• Marketplace Dynamics: Knowledge of dynamic pricing, spot instances, or supply-demand balancing mechanisms
• Security & Multi-Tenancy: Experience designing secure, multi-tenant systems in cloud environments
• Programming: Strong programming skills in Python and C++; ability to write performant, maintainable, well-architected code
• Database Expertise: Comfortable designing schemas and queries for large-scale data systems (PostgreSQL preferred)

Nice To Have

• Experience with GPU security, virtualization, or zero-trust compute isolation
• Prior startup experience or end-to-end product ownership

Benefits

• Comprehensive health, dental, vision, and life insurance
• 401(k) with company match
• Meaningful early-stage equity
• Onsite meals, snacks, and close collaboration with founders and tech leads
• Ambitious, fast-paced startup culture where initiative is rewarded

Application Details

After submitting your application, our technical team reviews your credentials. If selected, you’ll proceed through the following stages: 15 min – Initial screening with member of your future team (virtual); 40 min – Systems and architectures (virtual); 1 hour – LLM-assisted coding assessment (virtual); 2 hours – Meet and greet with coding assessment (on-site). We aim to complete the interview process in about one week.

What You Will Do

• Lead cutting-edge research in AI agents, focusing on memory, reliability, and reasoning
• Prototype and evaluate novel state-of-the-art methods/models

What We Need

• Deep expertise in systems engineering across the tech stack
• Strong holistic background in machine learning theory and practice
• Diverse knowledge of neural architectures/circuits: transformers etc
• Published research at top AI conferences

Benefits

• Comprehensive health, dental, vision, and life insurance
• 401(k) with company match
• Meaningful early-stage equity
• Onsite meals, snacks, and close collaboration with founders/tech leaders
• Ambitious, fast-paced startup culture where initiative is rewarded

Application Details

After submitting your application, our technical team reviews your credentials. If selected, you'll proceed through the following stages: Initial screening (virtual 15 minutes); Quick dive into Vast, systems and architectures (virtual 30 minutes); LLM assisted coding assessment (virtual 1 hour); Meet and greet with coding assessment (on-site 2 hours). Our goal is to complete the interview process in two weeks.

What You Will Do

• Develop or extend parallel generic GPU libraries and kernels
• Help design and deploy market-based resource management systems
• Quickly investigate and summarize options for new system architectures
• Prototype and evaluate novel state-of-the-art methods/models
• Investigate and learn new frameworks and tools

What We Need

• Expertise in systems engineering across the tech stack
• Deep understanding of GPU architectures
• Strong holistic background in neural network performance and tooling
• Published research at top AI conferences

Benefits

• Comprehensive health, dental, vision, and life insurance
• 401(k) with company match
• Meaningful early-stage equity
• Onsite meals, snacks, and close collaboration with founders/tech leaders
• Ambitious, fast-paced startup culture where initiative is rewarded

Application Details

After submitting your application, our technical team reviews your credentials. If selected, you'll proceed through the following stages: Initial screening (virtual, 15 minutes); Quick dive into Vast, systems and architectures (virtual, 30 minutes); LLM-assisted coding assessment (virtual, 1 hour); Meet and greet with coding assessment (on-site, 2 hours). Our goal is to complete the interview process in two weeks.