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Financial Highlights – Enjoy an Immediate Pay Raise and Professional Growth! $10k Fast Start Bonus Per Month for 12 months, $120k First Year, requires one new commercial account with at least 250 employees, every two weeks. $2,500 First Week Training Pay for the first five training days. $500 per virtual appointment bonus with food with no bonus limit. Up to $1500 per week for meeting minimum call and one qualified onsite appointment. 200% of the profit margin for the first 90 days of orders shipped. 40% to 59% of the profit margin after 90 days Up to $10k new client account credits Up to $5k new account donation credits Up to $400 of gift cards for business building activities GHA Technologies, Inc. has become the #1 Employee-Owned Value-Added Reseller in America. Past rewards have included #1 Microsoft Western Region VAR, #1 fastest growing company in Arizona, #69 on the CRN Solution Provider 500, #15 2018 CRN Fast Growth 150 List. We sell the latest AI technologies from Nvidia, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, and Power Technologies! We also specialize in mission critical product procurement and integration services for some of the largest Corporate, Government, and Education clients in America! Our client base is a who's who of corporate America! GHA employee owners will receive stock shares every year on top of our industry’s leading commissions, bonuses, and promotional offerings! Mission critical, online, vast E Commerce distribution network coast-to-coast warehouse locations support just-in-time delivery. Super convenient, orders placed by 9:00 p.m. EST (8:00 p.m. CST) can be received the next morning for in-stock items. Secure, 24-hour access to your own personal portal customized with special pricing on more than 2 million top selling products from 3,500 manufacturers in the USA and across the globe. We are currently HIRING experienced Sales Professionals nationwide with a minimum of three years direct technology sales experience. We offer a highly lucrative earnings and benefits package with top salespeople earning between $96,000 to $2,000,000 annually. W-2 Employment, Medical, Dental, and HSA Benefits, 401K Retirement Plan, and GHA company stock ownership (ESOP) plan. Please email your resume to and schedule a strictly confidential interview. Visit us at:

Financial Highlights – Enjoy an Immediate Pay Raise and Professional Growth! $10k Fast Start Bonus Per Month for 12 months, $120k First Year, requires one new commercial account with at least 250 employees, every two weeks. $2,500 First Week Training Pay for the first five training days. $500 per virtual appointment bonus with food with no bonus limit. Up to $1500 per week for meeting minimum call and one qualified onsite appointment. 200% of the profit margin for the first 90 days of orders shipped. 40% to 59% of the profit margin after 90 days Up to $10k new client account credits Up to $5k new account donation credits Up to $400 of gift cards for business building activities GHA Technologies, Inc. has become the #1 Employee-Owned Value-Added Reseller in America. Past rewards have included #1 Microsoft Western Region VAR, #1 fastest growing company in Arizona, #69 on the CRN Solution Provider 500, #15 2018 CRN Fast Growth 150 List. We sell the latest AI technologies from Nvidia, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, and Power Technologies! We also specialize in mission critical product procurement and integration services for some of the largest Corporate, Government, and Education clients in America! Our client base is a who's who of corporate America! GHA employee owners will receive stock shares every year on top of our industry’s leading commissions, bonuses, and promotional offerings! Mission critical, online, vast E Commerce distribution network coast-to-coast warehouse locations support just-in-time delivery. Super convenient, orders placed by 9:00 p.m. EST (8:00 p.m. CST) can be received the next morning for in-stock items. Secure, 24-hour access to your own personal portal customized with special pricing on more than 2 million top selling products from 3,500 manufacturers in the USA and across the globe. We are currently HIRING experienced Sales Professionals nationwide with a minimum of three years direct technology sales experience. We offer a highly lucrative earnings and benefits package with top salespeople earning between $96,000 to $2,000,000 annually. W-2 Employment, Medical, Dental, and HSA Benefits, 401K Retirement Plan, and GHA company stock ownership (ESOP) plan. Please email your resume to and schedule a strictly confidential interview. Visit us at:

Description Today, Electronic Warfare (EW) is a growing enterprise - protecting the warfighter and our national security against ever-adapting threats. Our division currently has an exciting opportunity for a Software Engineer to perform design, development, and hardware/software integration in Arlington, VA for the Electronic Warfare Division. Our division primarily focuses on research & development and advanced prototyping, transforming state of the art signal processing algorithms into real-time software systems. The successful candidate will be responsible for designing and implementing real-time signal processing algorithms on GPUs. The successful candidate will be responsible for: * Contributing to design and development of advanced systems as a part of multi-disciplinary teams. These teams are made up of other software team members and subject matter experts from the areas of systems engineering, hardware, firmware, machine learning, RF front end design, and signal processing. * Achieving key project/program objectives and deliverables for entire projects or processes spanning multiple technical areas and independently managing large projects or processes * A solid understanding of GPU programming and parallel computing architectures * Understanding signal processing algorithms written in MATLAB * Parallelization of existing algorithms * Decomposing complex signal processing chains into discrete components and kernels * Hand crafting bespoke CUDA kernels for high performance * Designing and implementing multi-threaded software architectures * Designing, implementing, and testing high speed data transfer / Latency codes * Designing, implementing, and testing real-time C/C++ software for multi-core systems running Linux or a real-time operating systems, such as VxWorks * Build software products that utilize third party mathematics and communication libraries * Interface communication standards / protocols such as TCP/IP, UDP, and DDS * Work with Linux operating system as well as experience with real-time operating systems * Designing, implementing, and testing software to configure and control RF hardware devices * Documenting the developed systems * Support system field testing and collection events * Must be willing to travel up to 10% of the time At Leidos, we offer competitive benefits , including 4 or more weeks Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Electronic Warfare Technology! The successful candidate will have the following education/experience: * Bachelor’s Degree in Computer Engineering, Electrical Engineering, or Computer Science * 8+ years of software development experience, including strong experience in C/C++ software development * Experience with Government open architectures for real-time systems, such as Big Iron or Cobra * Experience with NVIDIA development and profiling tools and libraries, including Compute Sanitizer, NCU, cuBLAS, cuFFT, cuSOLVER, and cuRAND * Experience using version control (Subversion, GIT, etc.) and continuous integration software tools (Jenkins) * Must have active Secret level security clearance with the ability to obtain a TS/SCI. Bonus education/experience: * Master’s Degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent * Existing security clearance higher than the Secret level * Experience with Machine Learning and/or Artificial Intelligence algorithms and libraries, such as TensorFlow * Experience with MATLAB GPU coder tool * Experience with High Performance Computing including parallel and distributed computation * Experience with Model-Based Design code generation practices * Experience with cloud-based computing platforms, such as Amazon Web Services (AWS) * Experience with other programming languages such as Python and/or Java If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. February 12, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description Exciting Opportunity Awaits! Step into a role that's far from ordinary and take part in transforming the future of naval simulation, training, and analysis at Leidos' High Fidelity Simulation Business Area. We're not just building software-we're setting the standard for the U.S. Navy's operational capabilities. When you join us, your expertise will directly impact and shape naval advancements. Why Leidos Stands Out This isn't your typical tech job. At Leidos, each project is an opportunity to innovate. As an Entry Level Graphics Software Developer, you'll work at the forefront of technology, developing critical training systems like the ___. Here, you'll craft real-time, three-dimensional graphics systems including a submarine periscope simulation, a submarine bridge simulation, and a ship weapons simulation. This cutting-edge visual simulation is used in a variety of naval training and simulation systems, utilized throughout the US Navy. All software is developed in a Linux environment, and written in C++ and OpenGL, utilizing the Unreal graphics engine and various software packages. Make a Real-World Impact Your contributions won't go unnoticed or unused. Your creations will be integral to real-world naval operations. Plus, you'll have the unique chance to travel to strategic locations like Pearl Harbor, San Diego, and Norfolk, where you'll see firsthand the effect your work has on naval readiness. Are You the Innovator We're Looking For? Do you have an advanced degree or ongoing education in computer science, or a strong background in advanced math or physics? Ideal candidates bring expertise in areas of 3D Game Development, Visual Modeling and Simulation, VR/XR Development, multi-threading, GPU shader programming and optimization, and data visualization. What Leidos Offers • Stability & Career Growth: Join a long-standing Leidos contract with over three decades of success. Expect ample opportunities for career mobility and professional advancement., • Flexibility: Choose a schedule that suits you, with flexible hours for early birds and night owls alike., • Meaningful Work: Contribute to impactful projects, with systems going into production in as little as six months., • Overtime Compensation: Hours beyond the standard 40-hour workweek are compensated at straight-time rates. Required Education & Experience • Education: B.S./B.A. in Computer Science or equivalent experience., • Citizenship: U.S. citizenship and eligibility for a U.S. Government security clearance (Interim Secret clearance required upon employment)., • Skills: Some experience/education developing 3D graphics applications, in C++ utilizing low level APIs. Some experience with game programming, 3D graphics development, or other visual simulation systems. Experience utilizing a graphics engine, like Unreal, OpenSceneGraph, or similar. Preferred Experience • Education: Advanced degree, ongoing education in computer science, or an advanced math/physics background., • Skills: Knowledge of basic CPU/GPU hardware as it relates to C++ and the PCI Bus, CPU, GPU and RAM optimization. Familiarity with high performance computing and general graphics hardware. Developing for Virtual Reality headsets., • Tools: Experience with Unreal Engine, Unity, Godot, OpenSceneGraph or VulkanSceneGraph engines. Bonus Experience • Tools: Experience with Nvidia Nsight or similar profiling tools. 3DS Max, Maya, Photoshop, or similar modeling tools., • Skills: Linux proficiency Join Us at Leidos Ready to redefine your career? At Leidos, we provide not just jobs but a platform for innovation, impact, and purpose. Take the leap, make a difference, and join a team that values growth, flexibility, and groundbreaking work. Embrace a career that goes beyond the conventional-join Leidos today! If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. December 4, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $57,850.00 - $104,575.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description Today, Electronic Warfare (EW) is a growing enterprise - protecting the warfighter and our national security against ever-adapting threats. Our division currently has an exciting opportunity for a Software Engineer to perform design, development, and hardware/software integration in Arlington, VA for the Electronic Warfare Division. Our division primarily focuses on research & development and advanced prototyping, transforming state of the art signal processing algorithms into real-time software systems. The successful candidate will be responsible for designing and implementing real-time signal processing algorithms on GPUs. The successful candidate will be responsible for: * Contributing to design and development of advanced systems as a part of multi-disciplinary teams. These teams are made up of other software team members and subject matter experts from the areas of systems engineering, hardware, firmware, machine learning, RF front end design, and signal processing. * Achieving key project/program objectives and deliverables for entire projects or processes spanning multiple technical areas and independently managing large projects or processes * A solid understanding of GPU programming and parallel computing architectures * Understanding signal processing algorithms written in MATLAB * Parallelization of existing algorithms * Decomposing complex signal processing chains into discrete components and kernels * Hand crafting bespoke CUDA kernels for high performance * Designing and implementing multi-threaded software architectures * Designing, implementing, and testing high speed data transfer / Latency codes * Designing, implementing, and testing real-time C/C++ software for multi-core systems running Linux or a real-time operating systems, such as VxWorks * Build software products that utilize third party mathematics and communication libraries * Interface communication standards / protocols such as TCP/IP, UDP, and DDS * Work with Linux operating system as well as experience with real-time operating systems * Designing, implementing, and testing software to configure and control RF hardware devices * Documenting the developed systems * Support system field testing and collection events * Must be willing to travel up to 10% of the time At Leidos, we offer competitive benefits , including 4 or more weeks Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Electronic Warfare Technology! The successful candidate will have the following education/experience: * Bachelor's Degree in Computer Engineering, Electrical Engineering, or Computer Science * 8+ years of software development experience, including strong experience in C/C++ software development * Experience with Government open architectures for real-time systems, such as Big Iron or Cobra * Experience with NVIDIA development and profiling tools and libraries, including Compute Sanitizer, NCU, cuBLAS, cuFFT, cuSOLVER, and cuRAND * Experience using version control (Subversion, GIT, etc.) and continuous integration software tools (Jenkins) * Must have active Secret level security clearance with the ability to obtain a TS/SCI. Bonus education/experience: * Master's Degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent * Existing security clearance higher than the Secret level * Experience with Machine Learning and/or Artificial Intelligence algorithms and libraries, such as TensorFlow * Experience with MATLAB GPU coder tool * Experience with High Performance Computing including parallel and distributed computation * Experience with Model-Based Design code generation practices * Experience with cloud-based computing platforms, such as Amazon Web Services (AWS) * Experience with other programming languages such as Python and/or Java If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. February 12, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Job Description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are seeking a Staff / Principal ML Ops Engineer to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization. You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are robust, efficient, automated, and production-grade. This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution. What Youll Do • Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring., • Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters., • Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows)., • Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost)., • Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models., • Collaborate with researchers to productionize models and accelerate training/inference pipelines., • Establish ML Ops best practices, internal standards, and cross-team tooling., • Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected)., • Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure)., • Proficiency with Python and familiarity with TypeScript or Go for platform integration., • Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding), • Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling)., • Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries., • Experience deploying and operating LLMs and generative models in production at enterprise scale., • Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code., • Experience optimizing GPU clusters, scheduling, and distributed training frameworks., • Prior startup experience or comfort operating with ambiguity and high ownership., • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions., • Customer impact: Deploy AI solutions powering Fortune 500 clients., • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding in 2026., • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale., • Culture & autonomy: Own critical systems while collaborating with world-class engineers., • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision

Job Description Location: US - Cambridge, MA (Eastern Time / UTC -4) Relocation package: Available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are searching for a Senior Full Stack Engineer (Node.js + React) with strong hands-on experience building scalable, high-performance web applications powering complex, data-intensive AI products used by Fortune 500 customers. This role is ideal for an engineer who enjoys owning features end to end—from backend architecture to polished frontend delivery—someone who can design APIs, build scalable services, craft intuitive user interfaces, and ship production-ready features at scale. What Youll Do • Design, build, and maintain scalable full stack applications using Node.js, React, and TypeScript., • Architect and develop robust backend services, APIs, and data models., • Build modern, production-grade web interfaces with React., • Own features end to end, from technical design and implementation to deployment and production support., • Optimize performance across the stack (frontend rendering, API latency, database queries)., • Collaborate closely with product, design, and AI/ML teams to ship user-facing features., • Establish best practices around testing, code quality, observability, and CI/CD., • Improve overall system architecture, scalability, and developer experience., • Debug and resolve production issues across both frontend and backend systems. What Were Looking For • 5+ years of experience as a Full Stack Engineer., • Strong proficiency in Node.js (Express, NestJS, or similar frameworks)., • Strong proficiency in React and TypeScript in production environments., • Experience designing RESTful APIs and working with databases (PostgreSQL, MongoDB, or similar)., • Solid understanding of modern web architecture and distributed systems fundamentals., • Experience building scalable, secure, and high-performance applications., • Familiarity with cloud environments (AWS, GCP, or Azure)., • Comfortable owning features and shipping to production independently., • Strong collaboration skills across product, design, and backend/ML teams. Bonus Points • Experience building data-heavy dashboards or real-time web applications., • Familiarity with modern state management solutions (Redux, Zustand, React Query)., • Experience with event-driven architectures or message queues., • Exposure to AI-driven or ML-powered products., • Startup experience or comfort working in fast-moving, ambiguous environments. Why This Role Will Pivot Your Career • Research pedigree: MIT CSAIL founders with deep AI and systems expertise., • Customer impact: Build products used by Fortune 500 clients., • Industry momentum: Alumni behind major acquisitions (MosaicML Databricks, Run:AI NVIDIA, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding planned for 2026., • Ownership: Lead full stack architecture and mission-critical product features., • Engineering depth: Work on challenging scalability, performance, and AI infrastructure problems. Benefits • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision, • 401(k) Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job DescriptionSchmidt Sciences is a nonprofit organization founded in 2024 by Eric and Wendy Schmidt that works to accelerate scientific knowledge and breakthroughs with the most promising, advanced tools to support a thriving planet. The organization prioritizes research in areas poised for impact including AI and advanced computing, astrophysics, biosciences, climate, and space—as well as supporting researchers in a variety of disciplines through its science systems program. About the AI & Advanced Computing Institute (“AI Institute”) The AI Institute at Schmidt Sciences is a grantmaking and research group that views AI as a transformative force for scientific discovery and societal progress. Over the next decade, we aim to support key researchers who are working to make AI systems competent, trustworthy, reliable, and able to effectively partner with human scientists on the next generation of discovery. We will also make distinctive investments in beneficial AI areas where philanthropy has a unique advantage. By supporting enabling infrastructure, foundational research, and targeted programs in science disciplines, the AI and Advanced Computing Institute will create the conditions for AI-enabled discovery to achieve its promise. The AI Institute currently has three focus areas: AI for Science – using AI to improve how scientists generate hypotheses, conduct experiments, analyze data, and produce new knowledge – and do this in a way that specifically accelerates the discovery process. Exploratory programs include post-transistor hardware for AI and AI for scientific simulation.Science of AI – understanding and controlling AI systems to mitigate and manage potential risks from advanced AI. Improve AI reliability and performance in areas of limited commercial interest. Existing programs include AI2050 and Science of Trustworthy AI. Exploratory programs include AI interpretability and evolution of multi-agent communication.Beneficial AI – providing scientific foundations and datasets for understanding the larger human impacts of AI. This includes selected high-impact grantmaking, such as our programs to use AI to accelerate humanities research (Humanities and AI Virtual Institute), and to quantify the impact of AI on the labor market (AI@Work). These programs support and draw on related Schmidt Sciences engagements, such as the Virtual Institute for Scientific Software (VISS), which seeks to accelerate the pace of scientific discovery through the support and development of high-quality, community-oriented scientific software. These philanthropic efforts support experienced engineers who are tasked with building open-source infrastructure and applications for multi-disciplinary, high-performance, at-scale scientific discovery. The Role Reporting to the Compute Program Scientist in the AI Institute, the Infrastructure Engineer will provide technical leadership and apply computational infrastructure management expertise across AI Institute and Schmidt Sciences multidisciplinary efforts. The initial set of projects will focus on cutting-edge developments in AI, and a successful candidate should have a work portfolio that reflects specific contributions to deployment and management of appropriately-sized heterogeneous compute clusters in a research or commercial environments. Success for this role is defined by the adherence to the industry’s best DevSecOps practices at scale, and the ability to quickly address computing needs from multiple research teams. This role requires up to 50% domestic travel. Example activities for this role:● Implementing multiple Authorization and Authentication schemas to accommodate a diverse set of cluster users and applications.● Managing a mixed-type network storage system with different access models and hardware performance characteristics.● Designing, implementing, deploying, and maintaining a Continuing Integration Continuous Delivery (CICD) system to address the needs of geographically distributed developers and applications.● Integrating multiple types of workflow orchestration systems in combination with software dependency package and module management frameworks. Key Responsibilities for this role include the following:Primary Technical Development • Continually identify, evaluate, and deploy open source and proprietary technologies that meet the combined infrastructure requirements from an evolving list of projects., • Implement performant solutions that meet industry compliance and security standards while enabling rapid development workflows., • Collaborate with hardware and software vendors on methods and configurations that maximize system resource utilization.Additional Schmidt Sciences Support, • Assist existing programs by providing infrastructure management advice, while working closely and collaboratively with multiple subject matter expert teams., • Work with other members of the Schmidt Sciences technical team to implement new deployment strategies and application hosting capabilities in support of diverse applications and user audiences., • Maintain awareness and track industry trends for hardware and software tooling that simplifies infrastructure management, while lowering the cost of deploying and supporting multi-tenant research applications., • Participate in relevant industry events and forums, representing Schmidt Sciences’ presence on AI and advanced computing issues.Required Knowledge, Skills, and Abilities, • A Bachelor’s degree from an accredited institution, with a focus on Computer Science, Information Technology, or a related field., • 5+ years of professional experience managing production-grade compute clusters., • Proficiency with code-management and infrastructure-provisioning tools and best practices., • Hands-on experience with workload management using Slurm and Kubernetes., • Proficiency with modern machine-learning hosting software frameworks, such as NVIDIA Dynamo, TensorFlow Serving, Ray, etc., • Proficiency in building, deployment, and troubleshooting containerized Linux workloads, including GPU-accelerated configurations., • In-depth knowledge of data center networking technologies and solutions., • Understanding of the tech stack needed to design, train, deploy, and maintain state-of-the-art AI models at a production scale., • Experience producing technical writing for expert and general audiences., • Good track record of collaborative impact in high-intensity, team-based environments., • Sense of controlled urgency in driving work to completion., • The highest integrity and ability to maintain confidentiality., • Be able to travel within the U.S. and internationally on a regular basis as needed.Preferred Knowledge, Skills, and Abilities, • Expert-level experience and industry credentials in the software and hardware frameworks that drive modern AI, and competence in at least one, and preferably multiple, fields of science impacted by modern AI., • Prior leadership of data center infrastructure initiatives and projects, such as evaluating hardware scalability, securing data, or executing large-scale upgrades., • Expertise in relevant technical focus areas, e.g., AI model performance monitoring or network and storage optimization, etc., • Ability to work with and effectively translate technical concepts across multiple scientific disciplines., • Ability to critically evaluate scientific and technical publications and emerging methods in related disciplines.

Job Description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are seeking a Staff / Principal ML Ops Engineer to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization. You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are robust, efficient, automated, and production-grade. This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution. What Youll Do • Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring., • Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters., • Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows)., • Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost)., • Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models., • Collaborate with researchers to productionize models and accelerate training/inference pipelines., • Establish ML Ops best practices, internal standards, and cross-team tooling., • Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected)., • Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure)., • Proficiency with Python and familiarity with TypeScript or Go for platform integration., • Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding), • Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling)., • Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries., • Experience deploying and operating LLMs and generative models in production at enterprise scale., • Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code., • Experience optimizing GPU clusters, scheduling, and distributed training frameworks., • Prior startup experience or comfort operating with ambiguity and high ownership., • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions., • Customer impact: Deploy AI solutions powering Fortune 500 clients., • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding in 2026., • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale., • Culture & autonomy: Own critical systems while collaborating with world-class engineers., • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision

Job DescriptionOverview The Principal Architect leads HPC AI focused Professional Services delivery engagements and cross functional technical teams on customer programs or projects. They are responsible for technical communications with Engineers, Architects, and the customer for AI-driven projects. The Principal Architect may participate in several Customer projects concurrently, integrating AI solutions with enterprise IT systems. Role Summary The Principal Architect will be at the epicenter of the AI revolution, working with the most advanced hardware on the planet. Whether you're helping a research facility unlock new scientific breakthroughs or an enterprise to build its first private AI cloud, your fingerprints will be on the infrastructure that defines the next decade of technology. The right person for the job is a senior individual contributor responsible for designing, implementing, and optimizing large-scale High-Performance Computing and AI platforms centered on the NVIDIA data center ecosystem. This role operates in a hybrid capacity, combining hands-on technical architecture with selective customer-facing advisory responsibilities. The architect serves as a technical authority across GPU-accelerated compute, high-performance networking, and modern parallel storage platforms, influencing architectural standards and delivery outcomes while ensuring successful, on-time, and on-budget customer deployments without escalations. This is a remote work from home position, with an average travel expectation of approximately 10%, and a willingness for additional travel during peak project phases or critical customer engagements. Key Responsibilities Architecture and Design • Lead the end-to-end architecture of GPU-accelerated HPC and AI platforms, including greenfield AI factory designs and optimization of existing HPC environments., • Architect integrated solutions spanning Compute, Networking, and Storage using NVIDIA HGX and DGX platforms, Grace CPU architectures, Spectrum-X networking, and high-performance parallel storage systems., • Design storage architectures optimized for AI training, inference, and HPC workloads, balancing performance, scalability, resiliency, and cost., • Provide hands-on technical leadership during implementation phases, including cluster bring-up, performance tuning, and workload optimization., • Architect and integrate workload orchestration and scheduling platforms using NVIDIA Base Command Manager, Slurm, Kubernetes and Run:AI., • Optimize end-to-end data pipelines, including GPU utilization, storage throughput, metadata performance, and job scheduling efficiency., • Design and validate high-performance storage solutions using modern parallel and scale-out storage platforms., • Demonstrate hands-on experience with at least one of the following storage technologies, • VAST Data, • WEKA, • DDN, • Lustre, • NetApp, • Architect storage solutions that support demanding AI and HPC workloads, including high-throughput training pipelines, checkpointing, and large-scale shared datasets., • Act as a senior technical authority for HPC and AI architecture across internal teams and customer engagements., • Participate selectively in customer-facing discussions to validate architecture and delivery plans, with a primary focus on design integrity and execution rather than pre-sales., • Identify technical risks early across Compute, Networking, Storage, and orchestration layers, and drive mitigation strategies., • Partner with the PMO counterpart to resolve Risks and Issues upon identification and to ensure production-ready, supportable platforms., • Ensure staff, contractors, and partners adhere to best practices and templates for AI solution delivery. Core Mastery Areas • Expert level with deep architectural knowledge of NVIDIA data center platforms, including HGX and DGX platforms., • GPU-accelerated compute architecture for AI and HPC workloads., • High-performance networking architectures, especially with Spectrum-X., • Hands-on architectural experience with high-performance parallel or scale-out storage systems., • Deep understanding of storage performance characteristics relevant to AI and HPC workloads, including bandwidth, IOPS, latency, and metadata scaling., • NVIDIA Base Command Manager (BCM) for cluster lifecycle management and operations., • Slurm for HPC workload scheduling and resource management., • Run:AI for GPU orchestration and multi-tenant AI workload optimization., • Kubernetes administration including deploying and managing GPU-accelerated AI and HPC workloads., • Linux systems administration in large-scale, performance-sensitive environments., • Experience optimizing existing HPC or AI platforms for performance, utilization, and cost efficiency., • Prior experience with multi-site, air-gapped, or regulated environments is beneficial but not required., • Senior individual contributor role with influence through technical authority rather than people management., • Ability to mentor engineers and architects through design reviews, architectural guidance, and technical leadership., • Develop and maintain high quality architectural documentation, including design blueprints, configuration guides, deployment validation reports, and operational runbooks., • Ensure all technical artifacts meet One Voice standards for clarity, completeness, and technical accuracy, enabling consistent delivery across teams., • Create reusable templates, reference architectures, and standardized design patterns that accelerate future projects and improve delivery quality., • Bachelor’s degree in a technical field or equivalent hands-on experience architecting large scale HPC or AI systems on experience architecting large scale HPC or AI systems., • Advanced degree (MS/PhD) in relevant fields is a plus but not required., • Experience: 10+ years in HPC, Data Center Architecture, and/or Systems Engineering., • Bare Metal Focus: A fundamental preference for, and understanding of, on-premises hardware constraints (power, cooling, cabling)., • Proven experience as a Senior, or Lead Architect or equivalent experience in AI projects. 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Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit . About This Opportunity H2O.ai is redefining how enterprises move from data to decisions at enterprise speed. We are a pioneer in predictive AI, generative AI, Agentic AI, and Observability trusted by the world’s most sophisticated and regulated organizations to deploy secure, explainable, and production-grade AI at scale. We are seeking a Senior Enterprise Account Executive to join our growing global sales organization. This role is designed for a proven enterprise seller who thrives in complexity, creates opportunity where none existed, wins against formidable incumbents, and consistently delivers against ambitious revenue targets. You are fluent in enterprise buying motions, credible with senior executives, and passionate about translating advanced AI technology into clear, measurable business outcomes. You bring rigor to qualification, discipline to deal execution, and a relentless focus on net-new and expansion revenue. This is not a volume sales role. This is a strategic, consultative enterprise AI role at a moment when organizations are moving from AI experimentation to AI accountability. This position is based in Washington DC. What You Will Do • Own and manage a focused portfolio of large enterprise and Global 2000 accounts, developing and executing multi-year strategic account plans., • Build trusted relationships with C-level and senior executives, including Line-of-Business leaders, CIOs, CDOs, CTOs, and Heads of Data and AI., • Create, develop, and grow a high-quality pipeline across net-new logos and expansion opportunities within existing accounts., • Lead and orchestrate complex, end-to-end enterprise sales cycles, aligning Sales Engineering, Product, Partnerships, Customer Success, and Marketing., • Conduct high-impact discovery using value-based selling methodologies to uncover strategic business challenges and quantify ROI, risk reduction, and operational impact., • Clearly articulate and differentiate H2O.ai’s platform against incumbent and emerging AI competitors, positioning value at the business and economic level., • Design and execute thoughtful deal strategies, including stakeholder mapping, value justification, competitive positioning, partner leverage, and close planning., • Maintain accurate forecasting, disciplined pipeline management, and impeccable CRM hygiene., • Partner closely with Solution Engineering to demonstrate customer-specific AI value and outcomes. In this role, you will: • Co-sell and collaborate across the Data and AI ecosystem, including cloud, infrastructure, data platform, and AI partners., • Develop joint account strategies with partner sales teams to accelerate access, increase deal size, and expand deal scope., • Leverage OEMs, hyperscalers, neo-clouds, GSIs, regional SIs, and resellers to drive velocity, credibility, and enterprise adoption. What We Are Looking For • 7+ years of enterprise sales experience selling complex software platforms (AI, data, analytics, ML, or adjacent enterprise technology) into large enterprises., • A strong, credible enterprise executive network, with experience selling to senior technical and business stakeholders., • Proven ability to design, navigate, and close complex, multi-stakeholder transactions with long sales cycles., • Consistent track record of overachieving quota and winning competitive, high-value opportunities., • Strong qualification discipline (MEDDICC / MEDDPICC or similar), deal rigor, and forecasting accuracy., • Ability to thrive in ambiguous, fast-moving environments, bringing structure, clarity, and momentum to complex engagements., • Collaborative, ecosystem-oriented mindset with a strong sense of ownership., • Excellent executive-level communication skills (written, verbal, and presentation)., • Bachelor’s degree required. Why H2O.ai? • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. #LI-Hybrid Powered by JazzHR ArSrCd3Cj4

We Are Accenture is recognized as a global leader in AI and cloud transformation, helping businesses across industries migrate, manage, and optimize their cloud environments. Through partnerships with leading cloud providers such as Nvidia, AWS, Microsoft Azure, and Google Cloud, Accenture offers end-to-end services that drive innovation and business agility. The Cloud Advisory Practice focuses on helping organizations define, plan, and implement innovative AI and cloud strategies that drive business value. Leveraging deep expertise across cloud platforms and technologies, this practice works collaboratively with clients to design scalable, secure, and resilient cloud environments. The practice offers guidance in key areas such as agentic AI infrastructure & hosting, modern cloud foundation, security and resiliency, full-stack FinOps, and cloud-native development approaches, ensuring that clients achieve agility, operational efficiency, and long-term growth. By aligning AI and cloud initiatives with business goals, the practice helps organizations realize the full potential of cloud innovation while navigating industry-specific challenges and regulations. The Work As an Omni Cloud Strategy and Advisory Manager, you will guide organizations through complex cloud transformations. With a proven track record in both stakeholder relationship management and cloud strategy definition, you will ensure that cloud strategies are aligned with broader business goals. You will lead cloud projects, from strategy development to execution, ensuring that solutions meet security, scalability, and financial targets, while working effectively in uncertain, dynamic environments. * Agentic AI Infrastructure and Hosting * Cloud Strategy, Cloud Advisory, Cloud Transformation, Cloud Optimization * Cloud Solutions Design, Applications Cloud Architecture, Application Integration * IT Infrastructure, Datacenters, Network, Edge * IT Operating Model, FinOps * IaaS, SaaS, PaaS * AWS, Microsoft Azure, Google Cloud, OCI, ServiceNow * IT Security and Compliance * Project and Program Management * Data & AI, Snowflake, Fabric, Databricks * Cloud Automation, DevSecOps Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here's what you need * Certification in at least one major cloud provider (Azure, OCI, Google, AWS) * Minimum of 5 years of experience creating and operating infrastructure teams of 8-10 members each and driving Cloud transformation programs with a strong perspective on cloud-based modernizations, including Lift & Shift, re-platforming and re-architecture * Minimum of 5 years of hands-on experience the in creation of cloud or infrastructure architectures, operations or designs as well as implementation experience for cloud or infrastructure architectures * Minimum of 3 years of experience working with an operations team and the associated tool sets such as ServiceNow * Minimum of 3 years of experience evaluating applications for migration and determining the best method and target environments * Minimum of 2 years in a consulting field selling to customers * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Professional Skills Requirements * The ability to explain IaC to customers, including concepts such as: * Pipelines * Mutable vs Immutable infrastructure * The difference between IaC, CI/CD, and DevSecOps * Experience explaining complex technical concepts to an executive/non-technical audience. Example: Explaining the benefits and draw backs of various cloud and infrastructure design choices to senior IT leadership (CIO or VP level) * Deep knowledge of one or more industry areas (e.g. Hospitality, Banking, Aerospace, Retail, Supply Chain) * An understanding of Infrastructure and Cloud outsourcing * Strong Critical Thinking, Analytical and Problem-Solving Skills * Excellent Communication and Interpersonal Skills. You will be expected to communicate business value for all technical solutions all the way to the C-Suite in some cases. * Demonstrated leadership, comradery, and teamwork in a multi-cultural professional setting * Experience working in a technology environment in designing and implementing solutions that meet the business need within project timelines * Have provided estimations, project plans and resource requirements for designed solutions * Have led and guided technical leads, engineers and developers according to architecture and have conducted technical review Bonus points if you have * Degree in Computer Science, Engineering, Physics, Math preferred * Experience with major Firewall and Security tools * An understanding of TCP/IP routing / switching * Experience with at least one major RDBMS (Oracle, SQL Server, DB2, Postgres) or a Non-Relational DBMS (Mongo DB, Couch, Neo4j, Dynamo, Cosmos) * Industry specific experience (Financial Services, Health & Public Services, Resources, Products, Communications and Media Tech) * Experience with Cloud Native, Containers and Serverless Architectures * Strong understanding of Cloud Security, Cloud Managed Services frameworks, tools and solutions Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We anticipate this job posting will be posted on 01/28/2026 and open for at least 3 days. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture () Role Location Annual Salary Range California $94,400 to $293,800 Cleveland $87,400 to $235,000 Colorado $94,400 to $253,800 District of Columbia $100,500 to $270,300 Illinois $87,400 to $253,800 Maryland $94,400 to $253,800 Massachusetts $94,400 to $270,300 Minnesota $94,400 to $253,800 New York $87,400 to $293,800 New Jersey $100,500 to $293,800 Washington $100,500 to $270,300 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement () Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. 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Location: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI & Data - AI Strategy - Senior Manager - Oil & Gas Sector The opportunity As part of our growing AI & Data practice, we are seeking a highly experienced Senior Manager to lead enterprise AI strategy and quantitative modeling efforts for our clients in the Oil & Gas sector. This individual will bring deep industry expertise, along with a proven track record of designing and operationalizing responsible, scalable, and value-aligned AI solutions. You'll lead high-impact client engagements focused on Generative AI, Agentic AI, MLOps, and AI governance frameworks - driving measurable outcomes in upstream, midstream, and downstream operations. As a Senior Manager in AI Strategy, you will leverage proprietary, industry-aligned business models and innovative operating model designs to deliver impactful AI investments. You will be responsible for capability assessments, operating model design, product management, governance, and process design, ensuring that AI initiatives align with business strategies and stakeholder needs. Your key responsibilities In this role, you will lead the delivery of complex AI strategies that enhance business effectiveness and efficiency. You will work closely with clients to envision how AI can transform their markets, products, and capabilities. This position offers the opportunity to engage with business and technology leaders, driving strategic programs that significantly impact their operations. * Lead engagement delivery, ensuring quality and risk management throughout the project lifecycle. * Manage client relationships, focusing on revenue generation and the identification of new opportunities. * Develop and manage resource plans and budgets for engagements, ensuring alignment with performance objectives. * Define and implement enterprise-wide AI and quantitative modeling strategy tailored to oil & gas value chains (e.g., asset optimization, drilling, trading, predictive maintenance). * Establish AI governance frameworks that ensure responsible AI adoption, ethical use of data, model risk management, and alignment with evolving regulations. * Design and operationalize Agentic AI solutions to automate reasoning, planning, and decision-making tasks in complex environments. * Drive the prioritization of AI use cases based on business value, feasibility, and risk, ensuring ROI on AI initiatives. * Lead multidisciplinary teams of data scientists, engineers, and consultants to deliver end-to-end AI platforms and solutions. * Partner with senior business and IT leaders to identify strategic opportunities and shape AI-enabled business transformation. * Implement and scale ModelOps and MLOps practices, ensuring transparency, reproducibility, and monitoring of models in production. * Lead AI solution architecture, including hybrid deployments on cloud (e.g. Microsoft Azure, Amazon AWS). * Serve as a thought leader in emerging AI technologies, including Generative AI, foundation models, RAG and Agentic AI. * Drive internal capability building and innovation in Responsible AI, agentic workflows, and energy sector-specific solutions . Skills and attributes for success To excel in this role, you will need a blend of technical and interpersonal skills. Your ability to navigate complex challenges and deliver innovative solutions will be crucial. * Strong analytical and decision-making skills to develop solutions to complex problems. * Proven experience in managing client relationships and leading teams. * Ability to communicate effectively and influence stakeholders at all levels. To qualify for the role, you must have * Bachelor's degree required; Master's degree preferred with focus in Computer Science, Applied Math, or related field with prior consulting experience required. * 10+ years of experience in technology consulting, digital transformation, or AI-driven business solutions. * 5+ years of leadership in AI/ML projects, including team management and executive stakeholder engagement. * Typically, no less than 5 - 7 years of relevant experience. * Strong expertise in AI Platforms and Tools. * Proficiency in Data Architecture Design and Modelling. * Experience in Digital Transformation and IT Effectiveness Assessment. * Knowledge of Emerging Technologies and Technology Strategy, Vision, and Roadmap. * Ability to build and manage relationships effectively. * Strong exposure to oil & gas industry operations, value levers, and use case landscape. * Proven success in developing AI strategy and governance models, including frameworks for Responsible AI, risk, and compliance. * Hands-on experience with Generative AI frameworks (e.g., OpenAI, Hugging Face, LangChain, RAG). * Experience architecting and scaling MLOps platforms and data science workflows in cloud-native environments. * Proficiency in Python and tools like Pandas, PyTorch, Scikit-learn, Spark, SQL. * Experience with CI/CD, containerization (e.g., Docker, Kubernetes), and MLFlow or similar tools. * Strong client-facing skills with the ability to articulate technical topics to business executives. Ideally, you'll also have * Experience in managing change and leading teams. * Strong negotiation and influencing skills. * Familiarity with sector knowledge and commercial acumen. * Prior experience leading AI initiatives in the energy or oil & gas sector, including exploration, refining, or energy trading. * Familiarity with agentic AI concepts, cognitive architectures, and autonomous agents. * Working knowledge of ESG data, climate risk modeling, and regulatory trends in energy. * AI certifications (Microsoft, AWS, NVIDIA, Databricks, or equivalent). * Exposure to agile delivery models and design thinking approaches. What we look for We seek individuals who are not only skilled but also passionate about driving innovation and transformation through AI. Top performers are those who can think critically, solve complex problems, and communicate effectively with diverse stakeholders. If you are eager to make a significant impact and thrive in a collaborative environment, we want to hear from you! FY26NATAID #FY26NATAID What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . * We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. * Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. * Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at .

Collaborate with NVIDIA solution architects, product, engineering, and partner teams with a low ego, one‑team approach. Hands‑on familiarity with NVIDIA’s accelerated software and hardware stack. Strong alignment with NVIDIA values: humble, innovative, collaborative, one‑team, fail‑fast, a

A leading technology company in the GPU sector is seeking a Senior Developer Technology Engineer for the Public Sector.This pivotal role involves researching GPU-acceleration techniques for federal applications and optimizing performance across various applications.The ideal candidate will have adva

Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit . About This Opportunity We are looking for a Senior Sales Engineer - AI to join our team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey. This position is based in Washington DC. What You Will Do • Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals., • Execute high-impact proof of value that moves beyond technical feasibility to demonstrate ROI, such as cost per token or measurable accuracy gains in production using H2O AI Enterprise Platform: Predictive, Generative, and Agentic AI, • Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)., • Showcase hands-on expertise with LLMs: fine-tuning, evaluations, RAG, and Agentic pipelines., • Design and build sophisticated Agentic Workflows, beyond simple RAG to multi-agent systems that can reason, use tools, and execute complex business logic autonomously., • Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem., • Architect integrated solutions that leverage the full H2O stack: using Driverless AI for predictive features, h2oGPTE for unstructured data synthesis, • Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure their applications are production-ready., • Work closely with Product Management to influence the product roadmap based on customer and field insights., • Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.What We Are Looking For, • 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms., • Hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms., • Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration., • Master the art of technical storytelling, the ability to whiteboard a complex Kubernetes deployment for an IT Director, then pivot to explaining the risk-mitigation benefits of 'Guardrails' to a Chief Risk Officer., • Excellent presentation and communication skills: confident in front of C-level executives and technical teams., • Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus., • Willingness to travel up to 50% to support strategic accounts.How to Stand Out, • Experience running POCs, pilots, and executive workshops that accelerate AI adoption., • Familiarity with enterprise security, compliance, and governance in AI deployments., • Demonstrated thought leadership (talks, blogs, open-source contributions)., • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. #LI-Hybrid Powered by JazzHR wb4AfWpw2r

Job Description About Legion Let's be real, AI isn't magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world's most critical challenges. Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don't replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use. With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we're building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises. We're looking for bold thinkers and doers to join us in shaping the future of AI that's secure, grounded, and built to work. Role Responsibilities • Advocate For Customers: Act as the voice of the customer within the organization, advocating for customer needs and requirements to the product team., • Manage Customer Requirements: Serve as project manager for any new feature development for the user as well as for deploying the Legion platform for a given customer., • Be a Legion Expert: Develop hands-on technical knowledge of Legion's product and feature capabilities so that you can ensure our customers are using Legion in the way that's best for their team., • Lead Customer Onboarding: Train customers on how to use the platform, including training administrative users and champions on how to enable their team members' success., • Demonstrate Value: Work with customers to understand what really matters to them and their leadership and demonstrate the way that Legion meets that need qualitatively and quantitatively., • Build High-Quality Relationships: Develop relationships with multiple levels of customer stakeholders - everyone from end users, to security engineers to CISOs., • Ensure Renewals: Work closely with the sales teams to identify the best path to renew and expand customers while minimizing churn risks., • Provide Feedback: Proactively gather customer feedback and insights through surveys, interviews, and data analysis, and relay this information to our engineering team., • SECRET or TS/SCI Security Clearance., • Significant experience as a CSM or AM working with the government. Our team is lean and requires someone who is able to thrive in the federal space without significant guidance., • Willingness to travel. You will need to be onsite with our customers frequently. Most of them will be on the East Coast., • Proven ability to collaborate. You can work effectively with cross-functional teams, including sales, product, and/or engineering to articulate customer needs and develop new platform capabilities to meet them., • Experience working at a startup. Legion is early-stage and that means there's a lot of things that aren't figured out yet. You'll need to be comfortable with operating in that kind of environment. This is a remote position, but it will require consistent travel - primarily on the Eastern seaboard. Being located in or near DC, Tampa, or Fayetteville NC is not required, but it's a plus. Equal Opportunity Statement Legion provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Compensation Information$150,000—$230,000 USD

Job DescriptionDescription: Type: Full-Time(W2) On-site/Hybrid, Arlington, VA (Remote option available for the right candidate) DeepSig is defining the future of wireless communications by merging deep learning with the Radio Access Network (RAN). We are seeking an experienced Technical Lead to architect and drive the development of our next-generation AI-native RAN. In this role, you will design, prototype, and validate novel AI/ML components—such as neural receivers, neural beamforming, neural scheduling, digital twin, and ISAC (Integrated Sensing and Communications)—that outperform traditional signal processing methods. You will work at the cutting edge of 6G innovation, taking concepts from mathematical intuition to simulation (e.g. NVIDIA Sionna) and real-time implementation. What You’ll be Doing • Applied AI Research: Design and train modern deep learning models (Transformers, Vision architectures, etc.) to solve complex physical layer problems, including channel estimation, MIMO detection, and beam management, • Simulation & Validation: Build high-fidelity link-level simulations using NVIDIA Sionna and ray-tracing to train, test, and benchmark AI models against legacy 5G baselines, • Prototyping & Deployment: Transition research models into deployable "dApps" for the Distributed Unit (DU), optimizing inference for latency and compute efficiency on NVIDIA GPUs, • New Capabilities: Explore emerging AI-RAN frontiers such as Integrated Sensing and Communications (ISAC), neural scheduling, and channel digital twins, • Innovation & IPR: Drive technical innovation by authoring invention disclosures, filing patents, and generating technical reports to support our standardization team in 3GPP and O-RAN Alliance contributions, • Data Engineering: Architect data pipelines for generating synthetic training datasets and developing "Sim-to-Real" transfer techniques to ensure robust performance in real-world networks Required Qualifications • Education: Ph.D. or Master’s in Computer Science, Electrical Engineering, or Applied Mathematics with a focus on Deep Learning and/or Communications Systems, • AI/ML Expertise: 3+ years of experience designing and training deep neural networks from scratch. Strong grasp of modern architectures and optimization techniques, • Applied Signal Processing: Experience applying machine learning to real-time time-series data, signal processing, or physics-based problems (Audio, RF, or similar domains), • Research to Code: Proven ability to read academic papers and implement their methods in robust Python code, • Simulation Skills: Experience with differentiable simulation or digital twins (e.g., Sionna, JAX-based physics sims) Preferred Qualifications • Wireless Knowledge: Understanding of wireless fundamentals (OFDM, MIMO, IQ data) is highly helpful, though we prioritize strong ML intuition over pure communication theory, • Performance Optimization: Experience with model quantization (FP16/INT8), pruning, or using TensorRT for real-time inference, • Standardization Support: Experience writing technical whitepapers or supporting patent filings in a research environment, • C++ Integration: Ability to write C++ bindings or integrate Python models into C++, SIMD, and Cuda production pipelines Working at DeepSig DeepSig is growing its technical team while cultivating a collaborative, agile, and fun small-team culture. We value creativity, knowledge sharing, and employee growth, and we encourage participation in scientific publications, conferences, and open-source software. We offer competitive salaries and benefits, an employee stock option grant program, an environment where we are excited to be transforming and disrupting how signal processing is done with AI/ML, a welcoming and inclusive environment, a flexible schedule, and a great work / life balance. DeepSig is an equal-opportunity employer and does not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. We are dedicated to cultivating an inclusive, diverse, and engaging workplace where individuals feel fulfilled, inspired, and motivated. We value the unique perspectives that our team brings. Requirements:

Job DescriptionDescription: Type: Full-Time(W2) On-site/Hybrid, Arlington, VA (Remote option available for the right candidate) DeepSig is defining the future of wireless by merging deep learning with the Radio Access Network (RAN). We are seeking a Senior Software Engineer (HPC) to build the low-latency, high-performance engine powering our next-generation AI-native RAN. In this role, you will be the bridge between algorithmic innovation, hardware reality, and real-world deployment. You will architect and optimize the critical software pipelines that drive 5G/6G communications, ensuring our AI/ML workloads execute with deterministic microsecond latency on modern NVIDIA platforms. You will solve the "last mile" performance challenges—eliminating jitter, maximizing throughput, and ensuring hard real-time compliance—while working directly with partners to field, debug, and validate these systems in over-the-air (OTA) networks. What You’ll be doing: • Latency-Critical Implementation: Translate complex signal processing and AI algorithms into production-grade C++ (17/20) and CUDA code, strictly adhering to 5G TTI (Transmission Time Interval) timing budgets, • Field Deployment & Integration: Work closely with customers and partners to deploy, trial, and validate AI-RAN systems in real-world OTA environments. Troubleshoot and debug complex integration and latency issues that arise only in the field, • System Profiling & Tuning: Use tools like NVIDIA Nsight Systems to analyze end-to-end execution; identify and resolve "pipeline bubbles," latency spikes, and non-deterministic behavior that threatens real-time stability, • Open-Source Collaboration: Engage with the OCUDU open-source community and partner ecosystems. Help polish internal components for public release and drive the transition of open-source tools into robust commercial products, • GPU Optimization: Design and tune custom CUDA kernels, managing thread synchronization, warp divergence, and memory hierarchy (Global/Shared/Registers) to ensure maximum GPU saturation without stalling the pipeline, • Real-Time Architecture: Configure system parameters for hard real-time performance (NUMA affinity, CPU isolation/pinning, Hugepages) and implement custom memory allocators to prevent OS scheduler preemption or malloc-induced jitter Tech Stack • Core Languages: C++ (17/20), Python, PyTorch, CUDA, PTX, • AI/Simulation: PyTorch, NVIDIA Sionna, • Infrastructure: Linux, Docker, Kubernetes, DPDK, • Hardware: NVIDIA Grace Hopper, DGX Spark, AGX/IGX Thor, Intel, ARM, SDRs Required Qualifications • Education: Bachelor’s or Master’s in Computer Science, Computer Engineering, or Electrical Engineering, • C++ Expertise: Expert-level proficiency in Modern C++ (14/17/20), with a deep understanding of template metaprogramming, memory alignment, and lock-free concurrency, • Low-Latency Mindset: Deep understanding of latency vs. throughput trade-offs; experience writing code where every microsecond counts (e.g., HFT, Real-Time Graphics, or Embedded Control Systems), • GPU Computing: Strong hands-on experience with CUDA programming, including mixed-precision optimization and stream management, • Systems Generalist: Solid grasp of computer architecture fundamentals: PCIe topology, Cache Coherency, SIMD/AVX instruction sets, and OS kernel interaction., • Deployment Grit: Willingness to "get your hands dirty" debugging complex systems in lab and field environments periodically, working alongside integration partners Preferred Qualifications • Wireless Domain: Understanding of 5G Physical Layer (PHY) processing, OFDM, or baseband algorithms is highly preferred, • NVIDIA Ecosystem: Experience with the NVIDIA Aerial SDK (cuBB, cuPHY) or TensorRT, • Networking: Experience with DPDK for high-speed packet processing or eCPRI/RoCEv2 networking, • Community Experience: History of contributing to or maintaining open-source projects (C++ or Systems focus) Working at DeepSig DeepSig is growing its technical team while cultivating a collaborative, agile, and fun small-team culture. We value creativity, knowledge sharing, and employee growth, and we encourage participation in scientific publications, conferences, and open-source software. We offer competitive salaries and benefits, an employee stock option grant program, an environment where we are excited to be transforming and disrupting how signal processing is done with AI/ML, a welcoming and inclusive environment, a flexible schedule, and a great work / life balance. DeepSig is an equal-opportunity employer and does not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. We are dedicated to cultivating an inclusive, diverse, and engaging workplace where individuals feel fulfilled, inspired, and motivated. We value the unique perspectives that our team brings. Requirements:

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