Focus on offensive security efforts for Data Center Systems, such as NVIDIA HGX, DGX, and MGX, finding vulnerabilities and writing exploits against firmware.
Compensation
The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
Responsibilities
Find vulnerabilities and write exploits against Data Center Systems firmware
Work from the platform's threat models
Automate finding bugs, judging their severity, and mapping them to platform-level threats
Requirements
Bachelor's in Computer Engineering, Computer Science, or a related field
Master's in Computer Engineering, Computer Science, or a related field
Nice to have: Reverse engineering
Nice to have: Exploit development on embedded targets
Nice to have: Trusted computing (measured boot, attestation, confidential computing)
The Application Security Analyst will help developers and technology teams understand, evaluate, and address Application Security findings.
Compensation
$69,825 - 111,815 USD
Responsibilities
Analyze Application Security findings and supporting technical evidence to understand security relevance and appropriate treatment.
Help developers understand vulnerabilities and provide practical guidance for remediation.
Evaluate false-positive assertions and other technical explanations using available evidence and appropriate effective challenge.
Review remediation evidence and support technically defensible finding validation and closure.
Partner with senior Application Security practitioners and software-development teams while contributing reusable guidance and identifying opportunities to improve the customer experience.
Requirements
Bachelor’s degree in computer science, engineering, information systems, cybersecurity, or a related discipline
Nice to have: Experience with static analysis
Nice to have: Experience with software-composition analysis
Nice to have: Experience with secret scanning
Nice to have: Experience with penetration-testing findings
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
Technical Lead Engineer - Embedded SW Development AUTOSAR
Lead mobile and product security for a consumer membership ecosystem, owning mobile security, application security, pen testing, and security architecture.
Compensation
$205,000 –$256,000 + 15% bonus + equity
Responsibilities
Embed directly with mobile and product squads to threat‑model, review, and harden features before they ship
Own the mobile application security program end‑to‑end, including secure SDLC, code review, and developer‑facing tooling
Own the broader product application security program, including secure‑by‑default patterns and API/backend security review
Run the pen testing program across mobile and web/API, coordinating external engagements
Architect security controls and documentation to meet partner security requirements
Design, build, and evolve the MDASH scanning engine, integrating AI agents and models to analyze codebases, detect vulnerabilities, and generate fixes.
Locations (3)
Redmond, Washington, United States
San Francisco, California, United States
New York, New York, United States
Compensation
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 per year.
Responsibilities
Design, build, and evolve the MDASH scanning engine, including agent orchestration, multi-model routing, code understanding, vulnerability detection, reachability validation, and fix generation and verification.
Provides technology leadership for ChenMed’s AI software engineering practice, leading a team of Python engineers who design, build, and operate production AI-powered applications.
Compensation
$118,062 - $168,658 Salary
The posted pay range represents the base hourly rate or base annual full-time salary for this position. Final compensation will depend on a variety of factors including but not limited to experience, education, geographic location, and other relevant factors. This position may also be eligible for a bonuses or commissions.
Responsibilities
Manages, coordinates, plans, and leads a Python-focused AI software engineering team
Provides leadership and technical direction by meeting staffing needs through hiring, onboarding, training, coaching, evaluating, and managing direct reports
Guides the team’s approach to building and operating Python-based AI agent applications
Establishes and enforces modern software engineering practices
Partners with enterprise architecture to ensure AI services align with the organization’s event-driven and distributed systems patterns
Extend the engine's coverage across vulnerability classes, programming languages, frameworks, build systems, and codebase sizes, from single services to large monorepos.
Integrate program analysis techniques into agent workflows to make detections more precise and grounded.
Improve the engine's precision, recall, consistency, and fix quality, working from evaluation results, research findings, and production feedback.
Optimize scan performance, scalability, cost, and latency so MDASH works well on enterprise-scale codebases and in CI/CD workflows.
Requirements
Bachelor's Degree in Computer Science or related technical field
Master's Degree in Computer Science or related technical field
Nice to have: Master's Degree in Computer Science or related technical field
Nice to have: 8+ years technical engineering experience
Nice to have: 12+ years technical engineering experience
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