Principal AI Security Architect

Nvidia is a renowned global leader in the fields of computer graphics, PC gaming, and accelerated computing, with a transformative presence spanning over 25 years. We are currently seeking a Generative AI Security Engineer to join our client's dynamic team in Santa Clara, CA, offering flexible remote and hybrid work options.This is a full-time (W-2) contract position, with competitive compensation ranging from $90/hr to $130/hr based on experience, education, and location. We also provide comprehensive benefits, paid time off, and a thriving company culture!As a Generative AI Security Engineer, you will collaborate closely with NVIDIA’s research and engineering teams to enhance AI Safety for large language models (LLMs), including multilingual, multimodal, and reasoning frameworks. We emphasize the importance of data science expertise combined with a solid foundation in data engineering. This role is crucial for assessing and improving the safety and inclusivity of our LLM models on a scalable basis. We are looking for a candidate skilled in programming and scripting for effective data manipulation, analysis, and model fine-tuning. Our ideal candidate embodies proactive problem-solving abilities, thrives with minimal supervision, and excels in collaboration, thinking, and learning as part of a cohesive team.

Join PayNearMe as an AI Security Engineer in a fully remote position! In this role, you will be at the forefront of securing AI-driven technologies, ensuring the safety of our systems and data. Collaborate with a talented team and leverage your skills to identify vulnerabilities, implement security measures, and enhance our AI security protocols.

Sustainable Talent is collaborating with Nvidia, a pioneering leader in the world of computer graphics, PC gaming, and accelerated computing for over 25 years. We are in search of a Machine Learning Engineer specializing in AI Safety & Security to join our client’s dynamic team located in Santa Clara, CA, with options for remote or hybrid work. This full-time (W-2) contract position offers competitive compensation ranging from $90/hr to $130/hr, depending on factors such as experience, education, and location, alongside comprehensive benefits, paid time off (PTO), and a vibrant company culture! As a Machine Learning Engineer, you will collaborate closely with NVIDIA’s research and engineering teams, focusing on AI Safety for large language models (LLMs), including multilingual, multimodal, and reasoning models. We highly value a strong background in data science complemented by solid data engineering skills. This role is primarily dedicated to assessing and enhancing the safety and inclusivity of our LLM models on a scalable level. We are seeking candidates skilled in programming and scripting for detailed data manipulation, analysis, and model fine-tuning. We believe in proactive problem-solving, working with minimal supervision, and fostering exceptional teamwork to make a meaningful impact together! Key Responsibilities: Design and develop datasets and moderator models for evaluating LLMs and end-to-end systems focused on content safety and machine learning fairness. Create datasets for training LLMs using supervised fine-tuning (SFT) and reinforcement learning (RL) techniques, targeting content safety, ML fairness, security, and more. Research and implement state-of-the-art techniques for bias detection and mitigation in LLMs and related systems. Establish and monitor key metrics for responsible LLM behavior and usage. Adhere to best practices around automation, monitoring, scalability, and safety. Contribute to our repositories and develop safety tools to enhance the effectiveness of machine learning teams. Engage in data pre-processing and analysis: Work with data scientists and data engineers to gather, clean, pre-process, and transform extensive datasets. Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that enhance model performance. Collaborate with multidisciplinary teams: Work alongside product engineers, data scientists, and analysts to comprehend business requirements and translate them into actionable solutions.

Location: Onsite - Santa Clara, CAAbout the Role:We are looking for passionate AI Software Engineers at various levels (Junior, Senior, Staff, Senior Staff) who excel as T-shaped professionals. You should possess deep technical prowess in AI and LLM systems, alongside a diverse skill set that enables you to create production-ready AI applications. The ideal candidate is innovative and driven, eager to tackle complex AI challenges and develop intelligent systems that enhance user experiences while upholding engineering excellence.In this position, you will collaborate with engineering, product, and data teams to design and implement AI-powered functionalities and systems. You are expected to bring cutting-edge AI knowledge and practical engineering skills to build scalable, reliable AI applications that have a direct impact on our users.Join Reevo Inc., where our initial focus on enhancing workflows for Account Executives (AE) and Sales Development Representatives (SDR) has set the stage for our ambitious vision to create a comprehensive solution aimed at transforming the entire CRM ecosystem. With backing from top-tier venture investors in Silicon Valley and substantial funding, we are on the brink of redefining sales technology. This opportunity allows you to play a crucial role within a dynamic team dedicated to revolutionizing how businesses manage their sales processes.About Reevo: At Reevo, we are reimagining the revenue stack from the ground up, delivering solutions swiftly. Our software orchestrates every go-to-market motion, empowering B2B teams to work more efficiently and collaboratively. By integrating automation, intelligence, and an intuitive interface, we are helping organizations unlock new levels of productivity and growth across marketing, sales, operations, and customer success teams.If you are excited about developing a product that reshapes the operational landscape for revenue teams and thrive in an environment of curiosity and drive, you will find a welcoming home here. From day one, you will experience genuine ownership, mentorship, and a significant impact. Our team of over 50 builders boasts 30 successful exits, ensuring you will be surrounded by expertise and innovation!

Join us at the forefront of an exhilarating tech evolution as we revolutionize the data storage landscape. At Pure Storage, you will engage in innovative projects, grow your skills, and collaborate with some of the brightest minds in the industry.If you're eager to make a meaningful impact and embrace a wealth of opportunities, we invite you to be part of our journey.THE ROLEWe are seeking a skilled and innovative Agentic AI Software Engineer to become a vital part of our dynamic team in Santa Clara, CA. In this position, you will create production-ready agentic AI solutions that facilitate enterprise automation and digital transformation. Your responsibilities will include designing and deploying LLM-based services, implementing effective prompt engineering techniques, establishing guardrails, and developing model evaluation frameworks, all while ensuring secure and scalable delivery on AWS. This role emphasizes building reliable, secure, and observable AI systems integrated with enterprise platforms.WHAT YOU'LL DODevelop and design production-grade Agentic AI solutions utilizing LLMs, multi-agent workflows, and RAG pipelines.Implement and enhance Prompt Engineering strategies to ensure dependable and deterministic AI behavior.Create secure backend services and REST APIs in Python, integrating AI agents with enterprise systems via microservices architecture.Establish robust guardrails such as output validation, fallback strategies, and human-in-the-loop patterns where necessary.Maintain model evaluation frameworks including automated prompt testing, retrieval validation, and performance benchmarking.Deploy and manage AI services on AWS, utilizing services like EC2, S3, Lambda, RDS, along with Docker and Kubernetes for containerization.Adhere to strong security best practices including access control, data protection, and secure API design.Ensure observability and reliability of AI-driven services in production.Work primarily in our Santa Clara, CA office in alignment with company policies unless on approved leave.

At HackerRank, we empower industry leaders such as NVIDIA, Amazon, and Microsoft to recruit and develop the next wave of software developers based on their skills rather than their educational background. Our platform is relied upon by over 2,500 of the world’s most forward-thinking companies to construct robust engineering teams prepared for future challenges.In today’s world, software development is evolving as humans and AI work collaboratively. As this transformation progresses, the criteria for exceptional technical talent are also shifting. We provide companies with innovative methods to identify and foster next-generation skills.At HackerRank, our team is passionate about the significance of their contributions, paying careful attention to detail to ensure our customers achieve remarkable success with products they genuinely appreciate. We operate with a sense of urgency, believing that outstanding results stem from maintaining high standards.About Our TeamThe marketing team at HackerRank is the driving force behind our pipeline acceleration initiatives. We operate at the crossroads of creativity, analytics, and automation—managing paid channels, orchestrating account-based marketing (ABM) strategies, and optimizing every interaction that transforms interest into opportunity. Responsible for generating qualified leads and nurturing them throughout the sales funnel, our team's efforts directly influence revenue and market success.About the RoleAre you ready to translate marketing strategies into actionable campaigns? As our Demand Generation Engineer, you will play a pivotal role in transforming strategies into campaigns, overseeing projects from inception to completion. You will manage the daily execution of multi-channel demand generation initiatives, including ABM strategies, paid social media, email nurturing, and direct mail—while keeping budgets, creative assets, and stakeholders aligned. Your analytical skills will be crucial for optimizing ad creatives, messaging, and conversion rates. You will also be comfortable presenting insights and analyses of campaigns and possess the technical expertise to iterate, adapt, and scale our efforts.If managing timelines, audience segmentation, and bidding strategies resonates with you, we are excited to see how you can contribute to our growth at HackerRank.Why This Role ExistsScale Execution: Enhance coverage across various channels.Institutionalize ABM Discipline: Evolve from 1:Many to 1:Few to 1:1 with campaign optimization.Optimize and Refine: Continuously improve ongoing campaigns to maximize effectiveness at every touchpoint.Your ResponsibilitiesExecute and refine comprehensive demand generation programs across paid media and owned channels.Lead...

d-Matrix focuses on generative AI, combining software and hardware innovation to push technology forward. The team values respect, collaboration, and open communication, creating a workplace where different perspectives are welcomed. Interns join an inclusive group that believes diversity leads to better solutions. The company seeks individuals who enjoy tackling challenges and want to make a real impact through their work. Role overview The Applied AI Engineering Intern will work on projects related to Intelligent Manufacturing Systems. This role centers on applying AI concepts to practical engineering problems in manufacturing. What you will do Contribute to AI-driven solutions for manufacturing systems Collaborate with team members from diverse backgrounds Engage in problem-solving and execution-focused tasks Requirements Interest in AI and engineering Commitment to teamwork and open communication Motivation to learn and contribute to innovative projects

Join Pure Storage, where we are at the forefront of an exhilarating technology revolution, fundamentally transforming the data storage landscape. Here, you will unleash your innovative potential, evolve with our team, and collaborate with some of the brightest minds in the industry.This is the kind of work that has historically driven the tech sector—a chance to create solutions that genuinely make a difference. If you are eager to embrace limitless possibilities and leave an impactful legacy, we invite you to be part of our journey.THE ROLEWe are looking for a skilled and innovative Agentic AI Software Engineer to enhance our vibrant team in Santa Clara, CA. You will be responsible for developing production-grade agentic AI solutions that facilitate enterprise automation and drive digital transformation initiatives. Your expertise will involve designing and deploying LLM-based services, employing advanced prompt engineering techniques, implementing guardrails, and establishing model evaluation frameworks, all while ensuring secure and scalable operations on AWS. This position emphasizes creating reliable, secure, and observable AI systems that seamlessly integrate with enterprise platforms.WHAT YOU'LL DODesign and develop production-grade Agentic AI solutions leveraging LLMs, multi-agent workflows, and RAG pipelines.Implement and enhance Prompt Engineering strategies, including structured prompts, tool-calling, and agent orchestration to ensure reliable and deterministic AI behavior.Build secure backend services and REST APIs in Python, integrating AI agents with enterprise systems through microservices architecture.Establish robust guardrails, including output validation, fallback strategies, rate limiting, safe tool invocation, and human-in-the-loop patterns as necessary.Develop and maintain model evaluation frameworks, encompassing automated prompt testing, retrieval validation, regression testing, and performance benchmarking.Deploy and manage AI services on AWS, utilizing services such as EC2, S3, Lambda, RDS, and containerization through Docker and Kubernetes.Adhere to security best practices, including access control, data protection, audit logging, and secure API design.Ensure strong observability, monitoring, and reliability of AI-driven services in production.Note: This role is primarily in-office, and you will be expected to work from the Santa Clara, CA office as per Everpure's policies, except during PTO, work travel, or other authorized leave.

At d-Matrix, we are dedicated to unlocking the transformative potential of generative AI, leading the charge in both software and hardware innovation. Our team thrives on a culture of respect and collaboration, where diverse perspectives fuel creative solutions.We believe in humility and prioritize direct communication. We are looking for passionate individuals who are eager to tackle challenges and are driven by results. If you're ready to explore the boundless opportunities in AI, join us as we shape the future together.Location: Hybrid, with 3 days per week onsite at our Santa Clara, CA headquarters.Role Overview: As a Principal AI/ML System Software Engineer, you will play a critical role in productizing the software stack for our cutting-edge AI compute engine. You will lead the development, enhancement, and maintenance of our next-generation AI deployment software, collaborating closely with a team of system software experts and interfacing with hardware and other software teams.

Join ServiceNow as a Principal Software Engineer specializing in Artificial Intelligence and Machine Learning. In this pivotal role, you will leverage your deep expertise in software engineering and AI/ML technologies to drive innovative solutions and enhance our product offerings. You will collaborate with cross-functional teams to define technical requirements and ensure the successful implementation of advanced AI algorithms.

Role Overview ServiceNow is hiring a Director of Event Security to oversee the Global Safety and Security team in Santa Clara, California. This leadership position shapes and enforces security strategies for company events, prioritizing the safety of attendees, employees, and company property. The role balances strong protection with a welcoming atmosphere at all gatherings. Key Responsibilities Develop and implement security protocols for a range of events hosted by ServiceNow. Lead, train, and manage a team of security professionals. Conduct risk assessments and prepare for potential crises. Coordinate closely with local law enforcement and emergency services as needed. Work with event organizers to ensure all security measures are in place and followed. What We’re Looking For Extensive experience in event security management. Strong knowledge of security protocols, risk assessment, and crisis response. Demonstrated ability to lead teams and manage training programs. Effective communicator who can collaborate with law enforcement and event staff. Location This position is based in Santa Clara, California.

At d-Matrix, we are dedicated to unlocking the transformative power of generative AI within the technology landscape. Positioned at the cutting edge of software and hardware innovation, we strive to redefine what is achievable. Our workplace fosters a culture of respect and collaboration.We prioritize humility and maintain open lines of communication. Our team is inclusive, embracing diverse perspectives that lead to more effective solutions. We seek individuals who are enthusiastic about overcoming challenges and are execution-oriented. Are you ready to discover your playground? Together, we can shape the limitless opportunities of AI.Location: Hybrid, with on-site work at our Santa Clara, CA headquarters three days a week.Role Overview: As a Senior Staff AI/ML System Software Engineer, you will join our team to help productize the software stack for our AI compute engine. Your responsibilities will include the development, enhancement, and maintenance of cutting-edge AI deployment software. You will leverage your extensive experience with the full-stack toolchain and understand the intricate balance required in hardware-software co-design. Your ability to develop and scale software solutions within tight timelines will be crucial, as you collaborate with compiler experts and other software (ML, systems) and hardware (mixed signal, DSP, CPU) specialists within the company.

At d-Matrix, we are dedicated to unlocking the potential of generative AI and driving the evolution of technology. Positioned at the cutting edge of software and hardware innovation, we constantly challenge the limits of what can be achieved. Our corporate culture revolves around respect and collaboration, where humility and open communication are highly valued.We foster an inclusive team environment where diverse perspectives lead to superior solutions. We are on the lookout for passionate individuals eager to tackle challenges and who excel in execution. Are you ready to discover your playground? Together, we can shape the infinite possibilities of AI.Location:Santa Clara, CA headquarters or any of our regional offices. Remote work is an option.The Role: Staff Software Engineer - SIMD KernelsWhat You Will Do:As part of the SIMD Kernels team, you will contribute to the development of the software stack for our AI compute engine. Your responsibilities will include creating, enhancing, and maintaining software kernels for machine learning operators—such as softmax, layer normalization, and activation functions—for our next-generation AI hardware. You will also develop solutions that enhance our SDK, making it user-friendly for developers and facilitating performance analysis.You should possess experience in constructing software kernels for modern hardware architectures and understand how to effectively map algorithms and AI-framework computational graphs to those architectures. Your expertise will enable you to navigate hardware-software co-design trade-offs and deliver high-quality software efficiently in a fast-paced development environment.What You Will Bring:Minimum Requirements:MS or PhD in Computer Engineering, Mathematics, Physics, or a related discipline with 5+ years of industry experience.Strong understanding of computer architecture, data structures, system software, and machine learning principles.Proficiency in C/C++ and Python development within a Linux environment, utilizing standard development tools.Experience in implementing algorithms using C/C++ and Python.Familiarity with specialized hardware such as FPGAs, DSPs, GPUs, and AI accelerators, utilizing libraries like CUDA.Experience in implementing operators frequently employed in ML workloads—GEMMs, Convolutions, softmax, layer normalization, pooling, etc.Self-motivated team player with a robust ability to collaborate and innovate.

Join ServiceNow as a Staff Software Engineer specializing in AI/ML where you will leverage your technical expertise to drive innovative solutions that enhance our products and services. In this role, you will collaborate with cross-functional teams to design, develop, and implement machine learning algorithms and artificial intelligence solutions that meet our clients' needs.

About Boson AI: At Boson AI, we are at the forefront of revolutionizing enterprise artificial intelligence. Our dedication to pioneering cutting-edge AI research, especially in the realms of large language models and agentic systems, drives us to solve the most intricate real-world challenges for businesses, unlocking substantial value in the process. Our dynamic and collaborative team of researchers and engineers is passionate about pushing the boundaries of technology, committed to delivering high-quality, reliable products that integrate seamlessly into enterprise workflows and establish new industry benchmarks.About the Role: We are in search of a skilled and adaptable Frontend Engineer to enhance our expanding team. In this crucial position, you will spearhead the development of our next-generation platforms powered by large language models, creating user interfaces and experiences that are intuitive, highly interactive, and optimized for enterprise productivity. You will engage with the entire technology stack, from designing captivating front-end experiences with the latest JavaScript tools to integrating robust backend services that work in unison with our advanced multimodal AI models. This role presents an exciting chance to directly influence essential enterprise applications, bringing cutting-edge AI solutions to life for our clients.

At Tenstorrent, we are at the forefront of pioneering AI technology, setting new benchmarks for performance, usability, and cost-effectiveness. As AI transforms the computing landscape, it is crucial for solutions to evolve, integrating advancements in software models, compilers, platforms, networking, and semiconductors. Our passionate and diverse team of technologists has successfully designed a high-performance RISC-V CPU from the ground up, driven by a shared commitment to AI excellence and the ambition to create the ultimate AI platform. We value collaboration, curiosity, and a relentless pursuit of challenging problems. We are expanding our team and seeking contributors across all experience levels.As a C++ Machine Learning Engineer on our AI Models team at Tenstorrent, you will play a vital role in developing the training framework for our most sophisticated models. Your responsibilities will involve writing high-performance C++ code, designing new layers and operators, and ensuring our models efficiently scale across our custom silicon. If you have a passion for building the core of machine learning systems and optimizing their performance, this opportunity is tailored for you.This position is hybrid, based out of Santa Clara, CA.We encourage candidates with varying levels of experience to apply. During the interview process, we will evaluate candidates to determine the most suitable level, and offers will correspond to that level, which may differ from what is stated in this posting.

Join Dexmate as a Senior Software Engineer for our AI Platform, where you will be at the forefront of developing innovative AI-driven solutions. You will collaborate with cross-functional teams to design and implement robust software systems that enhance our AI capabilities.

Join us in revolutionizing the data storage industry at Pure Storage! As a Senior Security Operations Manager, you'll be at the forefront of innovative technology, leading a team that is shaping the future of security operations.This is your chance to engage in work that truly matters, as we transform the tech landscape. If you're ready to embrace a world of opportunities and make a significant impact, we invite you to be part of our dynamic team.THE ROLEThe Senior Security Operations Manager for Detection Engineering & Incident Response will spearhead the evolution of Pure’s Security Operations (SecOps) function encompassing Detection Engineering, Threat Intelligence, and Incident Response (CIDR). Your mission will be to revolutionize SecOps into a proactive, intelligence-driven program that effectively mitigates enterprise risk and enhances security across cloud, SaaS, infrastructure, and endpoint environments.This position is pivotal, positioned at the nexus of detection, incident response, threat hunting, attack surface management, and platform security. You will develop and refine a high-signal detection and response system—from telemetry pipelines to actionable alerts—ensuring all detections are aligned with real attacker behaviors and effectively mitigate risk.You will collaborate closely with leaders across Governance, Risk & Compliance (GRC), Product Security, Infrastructure, Identity and Access Management (IAM), and Engineering to operationalize risk-informed detections, enhance incident response processes, and drive quantifiable improvements in our security posture.WHAT YOU’LL DOLead and enhance Detection Engineering and CIDR functions, focusing on threat detection, response workflows, incident triage, and automation.Create and sustain a detailed detection inventory categorized by threat type, log source, MITRE mapping, and detection method.Drive continuous validation through red team, purple team, and atomic testing.

Sustainable Talent is collaborating with Nvidia, a pioneering organization that has been reshaping computer graphics, PC gaming, and advanced computing for more than 25 years. We are in search of a Machine Learning Engineer specializing in LLM Safety & Security to join our client's team located in Santa Clara, CA, with flexible remote or hybrid work arrangements.This is a full-time (W-2) contract position. We offer competitive compensation ranging from $90/hr to $130/hr based on experience, education, location, and other relevant factors, along with comprehensive benefits, paid time off, and an exceptional company culture!In your role as a Machine Learning Engineer, you will collaborate with NVIDIA’s research and engineering teams, concentrating on AI Safety for LLMs, including multilingual, multimodal, and reasoning models. We value a strong foundation in data science complemented by expertise in data engineering. This position is aimed at evaluating and enhancing the safety and inclusivity of our LLM models at scale. We are looking for someone skilled in programming and scripting for thorough data manipulation, analysis, and model optimization. Our approach emphasizes proactive problem-solving, minimal supervision, and being outstanding team players who collaborate effectively, think critically, and learn collectively. Let’s create impactful solutions together!Key Responsibilities:Design datasets and moderator models for assessing LLM models and complete systems regarding Content Safety and ML Fairness, including text-to-text and multimodal-to-text models.Create datasets for training LLM models utilizing SFT and RL techniques focused on Content Safety, ML Fairness, and Security.Investigate and apply state-of-the-art methods for bias detection and mitigation within LLMs and associated systems.Establish and monitor key metrics for responsible LLM behavior and usage.Adhere to best practices in automation, monitoring, scaling, and safety.Contribute to our code repositories and develop safety tools to enhance the effectiveness of ML teams.Engage in data preprocessing and analysis: Collaborate with data scientists and engineers to gather, clean, preprocess, and transform extensive datasets.Conduct exploratory data analysis (EDA) to reveal insights and patterns that enhance model performance.Work in partnership with multidisciplinary teams: Collaborate with product engineers, data scientists, and analysts to comprehend business needs and translate them into actionable strategies.