Role Description As a manager for OpenShell engineering, you will guide a team that integrates recent progress in agentic systems into the runtime, tools, and workflows trusted by enterprise developers. Your responsibility is to define direction, improve technical standards, and ensure the team consistently transforms promising methods from academia, industry, and NVIDIA research into useful OpenShell capabilities. You will guide the team on what to examine, how to confirm its value, and when to integrate the top concepts into the product. What You’ll Be Doing: - Lead and grow a team that is passionate about agentic systems and OpenShell runtime capabilities. - Define the team's technical strategy, research agenda, and product-facing priorities in partnership with engineering, product, development, research, solutions, and developer-facing teams. - Track major developments in agent research, internal NVIDIA work, publicly available projects, and industry systems, then help the team identify which ideas matter for OpenShell. - Guide the team in reproducing, adapting, benchmarking, and productizing promising research methods. - Ensure the team develops high-quality POCs, evaluation harnesses, red-team workflows, reference implementations, and product-ready solutions. - Build operating rhythms for research review, prioritization, technical decision-making, experimentation, and roadmap influence. - Partner with product and engineering leaders to move validated ideas into shipped OpenShell capabilities. - Contribute to outlining what secure, scalable, production-quality agent runtime infrastructure entails for enterprise builders. - Mentor team members on independent technical investigation, communication, engineering rigor, product sense, and cross-functional collaboration. - Hire, mentor, and develop a team with strong research engineering instincts and a bias toward shipping. Qualifications - MS or PhD in Computer Science, Physics, or a related technical field, or equivalent experience. - 8+ overall years of relevant software development experience. - 4+ years of leadership and management experience. - Experience leading research engineering, applied science, ML engineering, AI infrastructure, developer tooling, or advanced product engineering teams. - Strong technical judgment across LLMs, agentic systems, evaluation, runtime infrastructure, inference systems, or AI safety/security. - Track record turning research or emerging technical methods into products, platforms, tools, benchmarks, or production systems at scale. - Ability to set a clear technical direction in ambiguous, fast-paced areas. - Strong product sense and ability to connect research opportunities to customer needs, developer workflows, and product strategy. - Experience mentoring engineers or researchers who operate across research, product, and production engineering boundaries. - Excellent communication skills, including the ability to synthesize complex technical topics and align collaborators around a clear point of view along with strong execution instincts: able to balance exploration with delivery, and ensure research work results in practical product impact. Requirements - Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. - You will also be eligible for equity and benefits. - Applications for this job will be accepted at least until May 18, 2026. - This posting is for an existing vacancy. - NVIDIA uses AI tools in its recruiting processes. Company Description NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. - NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. - We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

• Own the weekly cadence for Channels and Analytics. • Work with PMs and engineering leadership to surface and sequence priorities - including the ones nobody has written down yet. • Help organise backlogs and bring structure to teams operating in a fast-moving, low-process environment. • Unblock engineers proactively. Identify the constraint before it becomes an escalation. • Write and maintain technical debt plans with engineers, not for them. • Act as a second thinker on integration strategy and capacity planning. • Improve the things that slow good engineers down. • Run 1:1s that leave engineers with clearer thinking, not just status logged. Deliver hard feedback directly. Have it land, not bruise. Help develop senior engineers who want to grow - including coaching engineers who have ambitions toward management. • Act as a backup hiring partner: help run loops, hold the bar, partner with recruiting.

• Own and drive the product and engineering roadmap from planning through execution • Lead, mentor, and manage the engineering team, ensuring accountability, productivity, and high performance • Act as the primary liaison between the CEO/Founder, Product Designer, and Engineering team • Translate business goals into clear product and engineering priorities • Oversee project timelines, sprint planning, resource allocation, and delivery milestones • Drive product decisions and help shape the overall product strategy • Ensure engineering best practices, code quality, scalability, and technical excellence • Take ownership of project outcomes and proactively identify risks and solutions • Contribute to coding, architecture, and technical implementation when required • Foster a culture of accountability, communication, collaboration, and continuous improvement

Reports to: Director of Detection Engineering and Threat Hunting Location: Remote, US Compensation: $160,000 to $190,000 base plus bonus and equity What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 5M endpoints and 11M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. About the Role: The Detection Engineering team is responsible for fortifying the platform's ability to identify and stop malicious activity by designing, testing, and deploying detection logic across millions of endpoints. This team translates threat intelligence and adversary emulation findings into highly effective, production-ready detections and collaborates closely with Product and Engineering teams to shape future detection opportunities. This role is accountable for defining the strategy, processes, and technical roadmap for Huntress's Detection Engineering function. You will be laser-focused on scaling the detection pipeline, reducing false positives, and ensuring high-fidelity signal output. You will lead a team focused on detection rule efficacy, automation, and continuous threat validation. Roles and Responsibilities: - Design, implement, and uphold internal processes to reduce latency and facilitate detection engineering work-products for data-constrained environments - Meet with detection engineers in a 1:1 setting weekly to socialize, focus initiatives, gather feedback, and provide feedback, and enable analysts to progress rapidly in their careers - Work with the Product and Engineering organizations to prioritize the creation of new capabilities with the goal of producing highly reliable detections - Engage with our Support organization to create streamlined workflows for partner/constituent requests for detection engineering support, not limited to responding to false positives and developing new detections - Provide technical leadership for detection engineers with multidisciplinary expertise - Ensure team members fully understand the goals and objectives of Huntress’ mission and how their work fits into the bigger picture - Provide key input and guidance to company stakeholders such as Marketing, the SOC, Support, and Product - Develop, track, and report on Objectives and Key Results linked to the Detection Engineering focus initiatives - Develop detection opportunities for new technologies and services that Huntress brings to market - Participate in public speaking engagements in both webinar and in-person formats What You Bring To The Team: - Experience in leading cybersecurity teams with diverse skills and backgrounds in one or more of the following areas: Security Operations, Digital Forensics, Incident Response, Malware Analysis, Threat Hunting, or Detection Engineering - 4+ years of experience in detection engineering or a related specialty (e.g., threat hunting, adversary emulation). - 2+ years of experience managing or leading a detection engineering, threat hunting, or security research team. - Actively engaged in the information security community by attending conferences or contributing to conversations/projects in the public domain - Continually learning and staying up to date on the latest threat actor tradecraft, detection techniques, and security operations concepts - Ability to identify workflows being performed and create detailed process diagrams and operating procedures - Effective communicator of highly technical concepts to stakeholders of varying technical backgrounds - Experience using platforms such as Elasticsearch or Data Dog to analyze and review data at scale - Demonstrated experience leading initiatives or projects that required delegation and accountability to achieve success - Data-driven approach with experience in Data Science concepts or statistical analyses What We Offer: - 100% remote work environment - since our founding in 2015 - Generous paid time off policy, including vacation, sick time, and paid holidays - 12 weeks of paid parental leave - Highly competitive and comprehensive medical, dental, and vision benefits plans - 401(k) with a 5% contribution regardless of employee contribution - Life and Disability insurance plans - Stock options for all full-time employees - One-time $500 reimbursement for building/upgrading home office - Annual allowance for education and professional development assistance - $75 USD/month digital reimbursement - Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com. Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote