Director Of Ai Ml Software Engineering jobs in San Jose – Browse 736 openings on RoboApply Jobs

Director Of Ai Ml Software Engineering jobs in San Jose

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companyTENEX logo
Full-time|Hybrid|San Jose, CA

Company Overview:TENEX is a pioneering provider of Managed Detection and Response (MDR) solutions, driven by artificial intelligence and automation. We empower organizations to bolster their cybersecurity defenses through cutting-edge threat detection and swift response capabilities. Our team comprises seasoned professionals with extensive backgrounds in cybersecurity, automation, and AI technologies. Supported by prominent investors, we are on a rapid growth trajectory and are looking for exceptional talent to join us in transforming the MDR landscape.As the Director of AI/ML Software Engineering, you will serve as a key technical leader, responsible for shaping our technical vision and managing multiple engineering teams. You will drive the development of scalable, high-performance AI systems that underpin our advanced cybersecurity solutions. Your role will be critical in defining the architecture and ensuring our product strategy aligns seamlessly with our technical objectives.Collaboration with product and design teams will be essential, as you will make pivotal technical decisions and steer the evolution of our platform. This is a remarkable opportunity to tackle complex engineering challenges in security, AI, and distributed systems, all while advancing your career in a leadership capacity as our company expands.Location: This position requires onsite work from Monday to Thursday at our San Jose, CA, Sarasota, FL, or Kansas City, MO office, with remote work available on Fridays.

Jan 24, 2026
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companyExtreme Networks, Inc. logo
Full-time|Hybrid|San Jose, California, United States

Join a thriving team at Extreme Networks, where over 50,000 customers worldwide rely on our innovative, cloud-driven networking solutions to elevate their digital transformation journey. Our commitment to providing top-tier services and support has positioned us as a leader in scalable networking solutions, experiencing double-digit growth year after year.At Extreme, inclusion is a fundamental value that shapes our workplace culture. We celebrate diversity and strive to create an environment where every employee flourishes because of their unique perspectives.Be part of a pioneering journey with Extreme! As a global networking leader, now is the perfect time to join our dynamic team.Position: Senior Machine Learning Engineer - Generative AI, Machine Learning, Graph ML, Big DataExperience: 5 to 14 YearsWork arrangement: Hybrid/RemoteOur AI Core group is revolutionizing platforms and solutions for Generative AI, which include AI Agents, Retrieval-Augmented Generation (RAG), Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These advancements are integral to our flagship Extreme products and are paving the way for new offerings. Together, we are transforming how organizations manage networks through the development of intelligent, high-performance multi-agent systems that can perceive, learn, and respond in real-time. At Extreme, innovation is not just encouraged; it is an expectation. Join us in shaping the future of network intelligence.

Mar 4, 2026
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companyArcher Aviation logo
Full-time|Hybrid|San Jose, California, United States

Archer Aviation is revolutionizing the aerospace industry from our base in San Jose, California. We are pioneering the development of an all-electric vertical takeoff and landing (eVTOL) aircraft, dedicated to promoting sustainable air mobility. Our groundbreaking aircraft is designed to accommodate four passengers while operating with minimal noise pollution.At Archer, we set ambitious goals and tackle complex challenges. We firmly believe that a diverse workforce enhances our creativity, leads to superior insights, and ultimately drives collective success. We are committed to fostering an equitable and inclusive workplace that values and celebrates our unique differences.What You Will DoAs the Director of Innovation Engineering, you will lead an exceptional team of engineers focused on swiftly identifying, prototyping, and delivering transformative solutions leveraging AI/ML and emerging technologies. Reporting directly to the Chief Digital Officer, you will establish the vision and technical strategy for innovation engineering while remaining actively involved in the development process—coding, building prototypes, and deploying solutions alongside your team. This role is tailored for a visionary leader who thrives at the nexus of cutting-edge technology and practical application.

Mar 13, 2026
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companyZscaler logo
Full-time|On-site|San Jose, California, USA

Role Overview Zscaler is seeking a Director of Software Development Engineering to guide a team of engineers in San Jose, California. This leader will oversee the full software development lifecycle and help shape technical direction for new products and solutions. What You Will Do Lead and mentor a team of software engineers Oversee project planning, execution, and delivery Ensure development processes align with industry standards and best practices Drive progress toward project milestones and team goals What We Look For Strategic mindset and experience managing engineering teams Strong leadership and communication skills Passion for technology and software development

Apr 14, 2026
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companyCinarra logo
Full-time|On-site|San Jose

Join Cinarra as an AI/ML Engineer and play a pivotal role in our AI team, focusing on model development and training. In this dynamic position, you'll actively engage in building, training, and enhancing machine learning models, while preparing and curating large datasets. Your contributions will significantly impact model accuracy, performance, and scalability. You will leverage modern machine learning techniques, including transformer-based and representation learning models, collaborating closely with engineers, data scientists, and product partners.Key ResponsibilitiesDesign, train, and assess machine learning and deep learning models.Prepare and preprocess substantial datasets for model training and inference.Implement and refine model architectures for effective data linking and representation learning.Work alongside engineering and product teams to seamlessly integrate models into production environments.Evaluate model performance and provide insightful recommendations for enhancements.

Feb 12, 2026
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companyWestern Digital Corporation logo
Full-time|On-site|San Jose

Join Western Digital as the Director of Engineering for Agentic AI Delivery, where you will lead a talented team in delivering innovative AI solutions. Your expertise will drive the strategic direction of our engineering initiatives, ensuring successful project execution and alignment with business objectives.

Apr 6, 2026
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companyArcher56 logo
Full-time|On-site|San Jose, California, United States

Role overview Archer56 seeks a Director of Flight Software & Algorithms based in San Jose, California. This position leads the team developing advanced flight software and algorithms that drive the company's aerospace technology. Key responsibilities Direct the design and implementation of flight software and algorithmic solutions Collaborate with cross-functional teams to ensure seamless integration of software with hardware systems Set the strategic direction for software projects within the organization Team collaboration This leadership role requires ongoing coordination with engineering, hardware, and other technical groups. The goal is to ensure that software applications work reliably with the company's physical systems.

Apr 23, 2026
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companyThe Trade Desk logo
Full-time|$124.9K/yr - $228.9K/yr|On-site|San Jose

The Trade Desk is a leading global technology firm dedicated to creating a better, more open internet for all through principled and intelligent advertising solutions. With an extraordinary capacity to handle over 1 trillion queries daily, our platform operates at an unparalleled scale. We've cultivated an award-winning culture rooted in trust, ownership, empathy, and collaboration. We celebrate the diverse experiences and perspectives that each individual contributes to The Trade Desk, and we are committed to maintaining inclusive environments where everyone can authentically express themselves at work. Are you passionate about tackling complex problems at scale? Do you want to join a dynamic, globally-connected team where your contributions will significantly impact the development of a superior media ecosystem? Discover why Fortune magazine consistently ranks The Trade Desk among the top small- to medium-sized workplaces worldwide. As a Senior Software Engineer at The Trade Desk, you will be an end-to-end owner, actively participating in various aspects of designing, developing, and delivering data-centric products for our stakeholders. Your role will involve building the back-end infrastructure of our platform with a strong emphasis on quality and efficiency, whether it’s developing client-facing applications, creating internal custom solutions, or optimizing bidding model pipelines. Our distributed system operates continuously, serving global traffic and fostering a highly collaborative environment that leverages a wide array of technologies. You will be challenged to solve algorithmic, optimization, and scalability issues in every aspect of our work.

Jan 7, 2026
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company
Full-time|On-site|San Jose, California, United States

About the OpportunityJoin a leading global networking organization that is revolutionizing the way businesses manage their networks. Our AI Core group is pioneering innovative platforms in Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning, all of which are integral to our flagship products and the creation of new offerings. Here, innovation is not just welcomed; it's a fundamental expectation.The RoleAs an AI ML Engineer, you will serve as a pivotal technical leader and thought leader, influencing our ML strategy and developing intelligent, high-performance multi-agent systems that can perceive, learn, and react in real time.Your ResponsibilitiesDefine and guide the technical vision for ML solutions across our products and platforms.Oversee the complete software development lifecycle, from design and code reviews to deployment and operational management.Design high-performance, scalable microservices, including both synchronous and asynchronous web services.Create real-time inference pipelines for complex models utilizing Triton, TensorRT, and mixed-precision computing.Mentor fellow engineers, establish technical direction, and cultivate a robust team culture.Promote engineering excellence, system resilience, and ongoing operational enhancements.

Apr 9, 2026
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companyKognitos logo
Internship|On-site|San Jose - HQ

About the Internship Kognitos is hiring Software Engineer Interns (AI-Native) for Summer 2026 at our San Jose headquarters. This program is designed for students eager to build real products with AI at the core, not just use AI tools. Interns will work on meaningful projects, contribute production-ready code, and help shape our engineering practices alongside experienced professionals. What You'll Do Work closely with engineers to design, build, and launch new features from concept to deployment. Use AI-native tools like Claude and Cursor to streamline and improve development workflows. Write clean, well-documented code that follows industry best practices. Participate in code reviews and technical discussions to refine solutions. Troubleshoot issues and help optimize system performance. Contribute to projects involving AI, automation, and data systems. Experiment, iterate, and collaborate in a team-focused setting. Who We're Looking For Currently enrolled in a Computer Science or related degree program, or have equivalent experience. Solid grasp of programming fundamentals (Python, JavaScript, or similar languages). Comfortable with modern development tools and workflows. Experience using Git and collaborative coding practices. Understanding of core computer science concepts like data structures and algorithms. Strong problem-solving skills and a willingness to learn. Clear communicator who works well in a team. Preferred Qualifications Experience with AI coding tools such as Claude Code, Cursor, or Copilot. Hands-on work with LLMs, APIs, or automation workflows. Familiarity with web technologies like React or Node.js. Exposure to cloud platforms (AWS, GCP, Azure). Previous internships, especially at startups, or substantial personal project experience. Final Note Interested candidates are encouraged to apply even if not every qualification is met.

Apr 16, 2026
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companyExtreme Networks, Inc. logo
Full-time|Remote|San Jose, California, United States

Join Extreme Networks, where over 50,000 customers worldwide trust our innovative, cloud-driven networking solutions to propel their digital transformation. Our commitment to excellence is reflected in our top-rated services that facilitate unparalleled progress. As we continue to experience double-digit growth year after year, we are uniquely positioned to deliver scalable outcomes for our clients.At Extreme, inclusion is embedded in our culture. We are dedicated to creating a diverse workplace that celebrates differences and fosters an environment where all employees can thrive.Be part of something significant with Extreme! Discover why now is the perfect time to join our team as a global leader in networking.Senior Software Engineer (Generative AI, Machine Learning): Experience: 5+ YearsLocation: San Jose, CA / Toronto, CanadaRemoteAre you passionate about innovating with Generative AI? Do you aspire to make a global impact while addressing the forefront challenges of Artificial Intelligence? Join us in building transformative products that will redefine the future of AI-driven network management at Extreme.This role presents a unique opportunity to define next-generation networking experiences using Generative AI, Machine Learning, Big Data, and Cloud Computing. You will play a key role in shaping the user journey, product vision, and technical roadmap, spearheading innovation from concept to execution.Now is an exciting time to join Extreme. With multiple strategic acquisitions enhancing our portfolio and market strategy, we are witnessing unprecedented global growth. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year recipient of the Best Employer award, Extreme is dedicated to a culture of diversity, inclusion, and equality, ensuring every employee thrives because of their unique perspectives.Our AI Core team is at the forefront of developing platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations not only enhance our flagship Extreme products but also pave the way for entirely new offerings. Together, we are revolutionizing how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real-time.At Extreme, innovation is not just encouraged; it is expected. Join us and help shape the future of intelligent network management.

Sep 22, 2025
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companyHudson Manpower logo
Full-time|On-site|San Jose, California, United States

Generative AI/ML EngineerAbout the Role:We are on the lookout for a dynamic and innovative Generative AI/ML Engineer to join our forward-thinking team at Hudson Manpower. The ideal candidate will possess a strong passion for artificial intelligence, natural language processing, and large language models (LLMs). You will play a pivotal role in designing, developing, and deploying GenAI-driven solutions that revolutionize business processes and enhance efficiency.In this role, you will work collaboratively with data scientists, engineers, and product teams to transform visionary AI concepts into reality, utilizing platforms such as OpenAI, Anthropic, Google Vertex AI, and others.Experience Required: 1 to 4 yearsKey Responsibilities:Design and develop applications and workflows utilizing Generative AI and Large Language Models (LLMs).Optimize and fine-tune pre-trained models to address specific business requirements and enhance performance.Collaborate across teams to identify and leverage opportunities for AI-driven innovation.Develop prompt engineering strategies to maximize model outputs.Conduct research and prototype innovative approaches in text, image, and multimodal generation.Implement scalable GenAI solutions using APIs and cloud platforms (AWS, Azure, GCP).Assess and monitor AI model accuracy, bias, and performance metrics.Stay abreast of the latest trends in GenAI, NLP, and machine learning technologies.

Mar 18, 2026
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company
Full-time|On-site|San Jose Office (HQ)

About Tessera Labs: At Tessera Labs, we are pioneering the integration of Artificial Intelligence into enterprise operations. Supported by Foundation Capital and led by an exceptional founding team, we create advanced multi-agent AI systems designed to automate intricate business workflows across various platforms including SAP, Salesforce, Workday, Snowflake, and MuleSoft. Our mission is to deliver genuine AI automation to enterprises with unmatched speed, precision, and measurable outcomes. We thrive on rapid execution, embrace accountability, and innovate at the cutting edge of applied AI.Job Overview:We are on the hunt for a dynamic Frontend Engineer who flourishes in a fast-moving, high-responsibility startup atmosphere. This hands-on position is ideal for a proactive individual who is ready to take charge of the user experience from ideation through to deployment. You will be expected to iterate swiftly based on user feedback while optimizing for performance, usability, and speed. Your role will involve designing and developing intricate UI components, interactive dashboards, and data visualizations that have a direct influence on our end users.If you are passionate about tackling challenging UI problems, delivering polished interfaces at a rapid pace, and collaborating in a supportive, low-ego environment, we invite you to apply for this exciting opportunity.

Apr 8, 2026
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companyEtched logo
Full-time|On-site|San Jose

About EtchedEtched is pioneering the world's first AI inference system specifically designed for transformers, achieving over 10x higher performance, significantly reduced costs, and minimal latency compared to B200 systems. Our custom ASICs enable the development of innovative products that were previously unattainable with GPUs, such as real-time video generation models and advanced chain-of-thought reasoning agents. With substantial backing from leading investors and a team of top engineers, Etched is revolutionizing the infrastructure of one of the fastest-growing industries in history.Key ResponsibilitiesAssist in porting cutting-edge models to our architecture and contribute to the development of programming abstractions and testing capabilities to streamline the model porting process.Develop, enhance, and scale Sohu’s runtime, focusing on multi-node inference, intra-node execution, state management, and effective error handling.Optimize routing and communication layers utilizing Sohu's collectives.Employ performance profiling and debugging tools to pinpoint bottlenecks and correctness challenges.Ideal Candidate ProfileStrong proficiency in C++ or Rust programming languages.Solid understanding of performance-critical and complex distributed software systems, including Linux internals, accelerator architectures (e.g., GPUs, TPUs), compilers, and high-speed interconnects (e.g., NVLink, InfiniBand).Familiarity with machine learning frameworks such as PyTorch or JAX.Experience in porting applications to non-standard accelerator hardware or platforms.Preferred QualificationsExperience in developing low-latency, high-performance applications using both kernel-level and user-space networking stacks.In-depth understanding of distributed systems concepts, algorithms, and challenges, including consensus protocols and communication patterns.Thorough knowledge of Transformer architectures, particularly Mixture-of-Experts (MoE).Experience building applications with substantial SIMD (Single Instruction, Multiple Data) optimizations for performance-critical paths.BenefitsHealth Insurance401k

Jun 17, 2025
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companyFloQast logo
Full-time|Hybrid|San Jose, California

San Jose or LA, CA (Hybrid)At FloQast, we are on a mission to transform the way accounting teams function by leveraging AI-native workflows. Our platform is a trusted operating system for thousands of global organizations, streamlining complex financial processes into swift, reliable, and scalable systems.We are seeking a Principal Software Engineer who not only develops software but also influences platform architecture, enhances team productivity, and drives significant innovation.This pivotal role involves making architectural decisions that will impact the entire FloQast application ecosystem and propel innovation across our product offerings.

Jan 28, 2026
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companyArcher Aviation logo
Full-time|On-site|San Jose, California, United States

Archer Aviation is a pioneering aerospace company located in San Jose, California, dedicated to developing an all-electric vertical takeoff and landing (eVTOL) aircraft aimed at revolutionizing sustainable air mobility. Our innovative aircraft is designed to transport four passengers while minimizing noise pollution, aligning with our mission to foster environmentally friendly transportation solutions.At Archer, we set ambitious goals and tackle complex challenges. We believe that a diverse workforce enhances our intelligence, drives better insights, and contributes to our collective success. We are committed to creating an equitable and inclusive workplace that values and celebrates the unique contributions of every team member.What We Are Looking For:We are seeking a seasoned leader to join our Flight Software Team. In this role, you will spearhead the integration of critical safety software systems including avionics, batteries, engines, and actuators. Your leadership will cultivate a high-performance team while establishing a strategic vision and ensuring operational excellence in delivering safe, certifiable aircraft software systems.What You'll Do:Lead and expand a multi-disciplinary team responsible for software integration, testing, processes, and overall operations.Define and execute a strategic roadmap for software integration and operations throughout the aircraft development lifecycle.Collaborate with aircraft systems, verification, flight testing, and integration leadership to align priorities and drive program success.Establish testing strategies and infrastructure across various environments, including simulators, software labs, systems labs, and aircraft prototypes.Conduct root cause analysis and resolve complex system-level integration issues by utilizing requirements, architecture diagrams, Simulink models, C source code, and supplier documentation.Develop and manage processes for problem report disposition, coordinating with software development teams to implement corrective actions and preventive measures.Provide technical leadership and oversight for aircraft production, ground testing, and flight testing operations.Create, implement, and continuously enhance processes, tools, and guidelines to improve safety, quality, and team efficiency.Lead program planning, including resource allocation, scheduling, risk management, and cross-functional coordination.Mentor and develop engineers, promoting technical excellence and career advancement within the team.

Mar 10, 2026
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company
Full-time|On-site|San Jose (US-HQ)

Location: On-site in San Jose, California or Trondheim, NorwayAbout UsBacked by leading venture capitalists in Silicon Valley, Trener Robotics is at the forefront of revolutionizing robotics. Our approach merges cutting-edge AI for intuitive programming with pre-trained skill models, ensuring expertise in industrial tasks. With offices in San Jose (USA) and Trondheim (Norway), our software empowers users with exceptional ease of use and unparalleled capabilities, enabling robots to think, adapt, and execute complex tasks efficiently.About the RoleWe are on the lookout for a dedicated Software-Focused Integration Engineer to join our dynamic robotics team. In this pivotal position, you will enhance and deploy the software architecture that drives our robotic systems. Your primary responsibilities will include integrating sensors, peripherals, and control systems through robust software solutions, facilitating seamless communication between hardware components and our AI-driven robotics platform.Key ResponsibilitiesDesign and implement software integration strategies for robotic systems, including sensor suites, cameras, and peripheral devices.Develop and maintain drivers and interfaces for various peripherals such as machine tools, conveyor systems, sensors, and PLCs.Integrate and calibrate vision systems into robotic workflows.Set up robot workcells and conduct rigorous software validation testing.Review robot scripts to ensure proper functionality.Provide comprehensive technical documentation and support for software integration processes.Diagnose and resolve software integration issues and performance challenges.

Mar 17, 2026
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companyLumilens logo
Full-time|On-site|San Jose

About LumilensAt Lumilens, we are pioneering the essential photonics infrastructure that propels the future of AI supercomputing. Our innovations range from chip-to-chip optical interconnects to scalable photonic engines, ushering in a new era of computing that is faster, cooler, and significantly more efficient.As a well-funded startup, Lumilens is backed by Mayfield and led by industry veterans who have developed and scaled transformative technologies. This is not about incremental improvements; it’s a unique chance to redefine the optical layer, starting from silicon. Join a team of elite engineers tackling some of the most complex challenges in optics, systems, and scalability. If you seek purpose, momentum, and the opportunity to make a significant impact, come aboard our exciting journey. We’re just getting started.Position OverviewLumilens is in search of a Director of Software Manufacturing to spearhead the strategy, development, and execution of software systems pivotal for the high-volume manufacturing of next-gen optical transceivers (800G, 1.6T, and beyond). This role encompasses building and scaling the software infrastructure that enhances yield, testing, calibration, and production efficiency throughout our photonics manufacturing ecosystem.This vital leadership position resides at the crossroads of software, manufacturing, and hardware systems. You will define and implement manufacturing software frameworks that facilitate end-to-end production—from wafer-level testing and module assembly to final system validation—ensuring high yield, reliability, and throughput at scale.The perfect candidate will possess extensive experience in manufacturing software, test automation, and production systems within semiconductor, optical transceivers, or high-performance hardware environments, along with a proven track record in supporting hyperscale customer deployments.

Apr 7, 2026
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companyEtched logo
Full-time|On-site|San Jose

About EtchedEtched is pioneering the world's first AI inference system specifically designed for transformers, offering over 10x greater performance while significantly reducing costs and latency compared to traditional options like the B200. With Etched ASICs, you can create products that were previously unattainable with GPUs, such as real-time video generation models and highly complex reasoning agents. Supported by substantial investments from leading investors and a team of top engineers, Etched is revolutionizing the infrastructure layer for one of the fastest-growing industries globally.Job SummaryAs an Infrastructure Software Engineer, you will be essential in developing state-of-the-art model-specific ASICs by constructing custom infrastructure and toolchains. This role focuses on ensuring ultra-fast, reliable, and scalable development from simulation to silicon. At Etched, we approach infrastructure development with the same best practices that we apply to our products, incorporating rigorous design discipline and high-quality standards in our testing processes.You will spearhead the creation and adoption of next-generation infrastructure tools, empowering our ASIC, Software, and Platform engineers to accelerate iterations, increase reliability, and expand the frontiers of AI performance. Responsibilities include building and optimizing our hybrid high-performance compute (HPC) cluster for extensive parallel CI, EDA workflows, emulation, and hardware-aware job execution.Additionally, you will design and implement an advanced observability stack featuring LLM integration, focusing on health and performance telemetry, log aggregation, distributed tracing, insight generation, synthetic testing, and intelligent alerting across CI pipelines, simulation clusters, and service endpoints.This role demands a robust software engineering mindset, quality orientation, and a comprehensive understanding of systems. It involves not just writing scripts, but creating infrastructure code with precision, repeatability, and purpose.Key ResponsibilitiesArchitect and Scale Distributed Compute Systems: Design and build the orchestration layers driving our hybrid high-performance clusters—facilitating simulation, synthesis, and continuous integration of AI ASICs at an unprecedented scale.Build Infrastructure-as-Code Systems: Develop and maintain a fully programmable infrastructure control plane to guarantee reproducibility, auditability, and swift iteration throughout the entire stack.

Jan 20, 2026
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companyOKX logo
Full-time|On-site|San Jose, California, United States

As the Director of Compliance Data Science & AI at OKX, you will lead the integration of advanced data science and AI technologies into our compliance framework. Your expertise will drive innovative solutions that enhance compliance processes and ensure regulatory adherence.Key Responsibilities:Develop and implement data-driven compliance strategies leveraging AI insights.Collaborate with cross-functional teams to identify compliance risks and create effective mitigation strategies.Monitor the effectiveness of compliance programs and recommend improvements.Stay abreast of regulatory changes and ensure compliance practices align with industry standards.

Mar 29, 2026

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