The Crusoe Cloud Software Development team is seeking a passionate and experienced Senior Software Engineer specializing in Linux Kernel Security. This critical role is essential in strengthening the security posture of our core Linux kernel and operating system components, which underpin our cutting-edge hardware and software solutions for the AI cloud.
Compensation
Compensation will be paid in the range of up to $170,000 - $205,000 + Bonus. Restricted Stock Units are included in all offers.
Responsibilities
Implement kernel security enhancements and manage configuration hardening
Triage incoming CVEs to assess severity and exploitability
Enforce mandatory access controls and secure the boot path
Research vulnerabilities across kernel, driver, and OS components
Establish and advocate for secure coding standards for kernel-level development
Requirements
Bachelor’s degree in Computer Science, Computer Engineering, or a related field
Nice to have: Hypervisor security
Nice to have: Hardware security modules (HSMs)
Nice to have: Trusted Platform Modules (TPMs)
Nice to have: Offensive security or penetration testing at the kernel level
Build and improve the AI-powered, agentic system at the heart of MDASH vulnerability discovery, validation, and resolution, combining deep vulnerability research with AI experimentation.
Compensation
The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Responsibilities
Conduct hands-on vulnerability research across vulnerability classes, languages, frameworks, and codebase architectures to discover and validate vulnerabilities, assess reachability and exploitability, evaluate fixes for security correctness, and identify opportunities to expand MDASH coverage.
Translate research and evaluation insights into implemented improvements to MDASH agents, tools, model configurations, and analysis methods, and measure their impact.
Identify representative evaluation targets and author trusted ground truth spanning vulnerability evidence, attack paths, severity, validation, and remediation.
Drive MDASH's eval-driven development and hill-climbing loop by running evaluations, uncovering patterns in missed and incorrect results, and creating adversarial and regression cases that turn blind spots into measurable capability gains.
Build research prototypes, fuzzing harnesses, datasets, graders, and automation that accelerate capability improvement.
Requirements
Research Assistant (CCTF Blockchain Seed Fund)
Nanyang Technological University Singapore · Posted Nov 12, 2026
Conduct cutting-edge research in smart contract security and quality assurance, focusing on developing automated tools (fuzzers, static/dynamic analyzers) to detect vulnerabilities in decentralized applications and ensure the reliability of blockchain networks.
Responsibilities
Research and develop automated vulnerability detection and static/dynamic analysis tools for smart contracts
Build testing frameworks, benchmark datasets, and maintain open-source repositories
Assist in drafting high-quality research papers for top-tier software engineering and security venues
Collaborate closely with graduate students and researchers to achieve project milestones
Requirements
Bachelor’s degree in Computer Science, Software Engineering, or a related computing field
As a Senior Security Researcher, you will be at the forefront of cyber defense, focusing on vulnerability research, reverse engineering, and exploit development using cutting-edge AI models to create agentic defenders and autonomous systems.
Compensation
$147,600.00 - $238,700.00/yr
Responsibilities
Conduct advanced vulnerability research, reverse engineering, fuzzing, root-cause analysis, and exploit development across various platforms.
Leverage Large Language Models (LLMs) and advanced ML techniques to automate and scale bug hunting across diverse domains, including Web, OS & Kernel, Software Supply Chain, OT/IoT, and Browser Security.
Use AI agents to accelerate PoC generation, exploitability analysis, and finding validation, with an emphasis on reducing false positives.
Design and deploy AI-guided fuzzers, smart static/dynamic analysis tools, and autonomous agentic workflows specifically built for vulnerability research.
Develop and utilize agent harnesses for vulnerability discovery, PoC validation, patch validation, and defensive security research workflows.
Requirements
Bachelor's degree in Computer Science, Cybersecurity, or a related technical field
Nice to have: Master's degree or PhD in a relevant field
Nice to have: AI/ML models (LLMs, Reinforcement Learning)
Nice to have: Operational Technology (OT)
Nice to have: Internet of Things (IoT)
Sr Staff Security Researcher (AI-Assisted Vulnerability Research)
Lead AI‑assisted vulnerability research, designing and building AI/security harnesses to discover, validate, and report high‑impact vulnerabilities in real‑world software and open‑source projects.
Compensation
$147,600.00 - $238,700.00/yr
Responsibilities
Design, build, and improve AI/security harnesses for vulnerability research
Produce high‑quality research artifacts such as technical reports, benchmarks, and open‑source tools
Conduct deep technical analysis across real‑world software and open‑source projects
Build reusable research infrastructure and automation pipelines
Analyze large‑scale harness outputs to identify new research opportunities
Requirements
Master's degree in Computer Science, Cybersecurity, or a related technical field
Nice to have: PhD in Computer Science, Cybersecurity, AI/ML, Systems, Programming Languages
Senior Software Engineer - SecurityNewCrusoe · San Francisco, US