Lead AI-assisted vulnerability research, designing and improving AI/security harnesses for discovering, validating, and reporting high-impact vulnerabilities in real-world software and open-source projects.
Compensation
$172,100.00 - $278,300.00/yr
Responsibilities
Design, build, and improve AI/security harnesses for vulnerability research
Produce high-quality research and security artifacts
Conduct deep technical analysis across real-world software and open-source projects
Build reusable research infrastructure
Use LLMs, AI agents, fuzzing, static/dynamic analysis, program analysis, reverse engineering automation, and security automation to improve research workflows
As a Senior Security Researcher, you will be at the forefront of cyber defense, focusing on vulnerability research, reverse engineering, and exploit development.
Compensation
$139,600.00 - $225,775.00/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
Lead product security for Vecima’s software and hardware platforms, driving threat modelling, secure design, and vulnerability management across embedded Linux and cloud‑connected products.
Locations (2)
United States
Canada
Responsibilities
Identify and reduce security risk throughout the product lifecycle
Lead threat modelling for new products and architecture changes
Translate security risks into engineering requirements
Coach developers and architects in secure design and coding
Improve secure product development through risk‑based activities and automated CI/CD checks
Define the multi-year product roadmap for Mokka, the app safety review platform, to scale under submission volume increases driven by AI-assisted code generation
Architect automated static, dynamic, and LLM-assisted review pipelines that intercept modern security threats before apps reach production
Balance friction-free onboarding for legitimate developers with rigorous verification checks for high-risk or automated app factories
Partner with Operations and Policy teams to design intelligent human-in-the-loop review interfaces, leveraging generative AI assistants to speed up analyst workflows and reduce manual cognitive load
Partner closely with ML Research, Security Engineering, Policy Operations, and Developer Relations across global sites (US, Bangalore, London, Singapore) and drive alignment across vertical AET teams
Lead software integration and DevOps for maritime and unmanned system projects for the U.S. Navy, building and maintaining CI/CD pipelines, hardware-in-the-loop test environments, and mission-critical software baselines.
Compensation
The projected compensation range for this position is $86,900.00 to $198,000.00 (annualized USD).
Responsibilities
Design, develop, and maintain object-oriented software solutions
Support CI/CD pipelines, automated build frameworks, and software integration environments
Develop and run hardware‑in‑the‑loop and simulation‑based evaluations
Diagnose, reproduce, and resolve complex software defects
Perform root‑cause analysis and corrective‑action development
Requirements
Associate's degree
Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or related technical field
Lead software integration and DevOps for U.S. Navy maritime and unmanned system missions, developing, testing, and sustaining mission‑critical software baselines in lab and field environments.
Compensation
The projected compensation range for this position is $86,900.00 to $198,000.00 (annualized USD).
Responsibilities
Support automated build pipelines, CI/CD workflows, static code analysis, software packaging, integration testing in lab environments, including hardware‑in‑the‑loop and simulation‑based evaluations
Diagnose, reproduce, and resolve complex software defects; support root‑cause analysis and corrective‑action development
Analyze, review, and update software documentation, integration notes, and sustainment artifacts
Collaborate with systems, cyber, and operations personnel to synchronize software loads across fielded and lab systems
Participate in cross‑functional problem solving and readiness activities
Requirements
Associate's degree
Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or related technical field
Nice to have: developing software in Ada
Nice to have: Navy unmanned systems experience
Nice to have: defense autonomous systems experience
Build and own core online mapping software for autonomous vehicles, writing production C++ for real-time embedded systems, optimizing performance on NVIDIA DRIVE platforms, and ensuring compliance with automotive safety standards.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. 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
Build and own core online mapping software operating in the car, from architecture through implementation to deployment.
Write production C++ for real-time embedded systems, with a focus on correctness, determinism, and maintainability.
Build software architecture and frameworks that promote code reuse, clean interfaces, and long-term maintainability across vehicle programs.
Improve performance of C++ and CUDA code running on NVIDIA DRIVE Orin and Thor, employing profilers to detect and address bottlenecks and to meet real-time budgets.
Use GPU parallelism (CUDA) to make compute-heavy mapping components fast and efficient.
Requirements
BS or MS in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
Nice to have: real-time operating systems (QNX, Linux RT)
Nice to have: functional safety standards (ISO 26262, ASIL-B/D)
Nice to have: MISRA or AUTOSAR C++ coding guidelines
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