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Job DescriptionJob Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: The Senior Software Engineer for the AI Model Lifecycle team will play a crucial role in building a comprehensive managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs). What You'll Be Working On: Manage fine-tuning systems for large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration, checkpointing, failure recovery, and cost-efficient scaling. Implement and maintain end-to-end training pipelines for Large Language Models. RFT and Reinforcement learning to the fine tuning and training sections Distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling). Dataset, model, and experiment management: versioning, lineage, evaluation, and reproducible fine-tuning at scale. What You'll Bring to the Team: Advanced degree in Computer Science, Engineering, or a related field. 4-5+ years of industry experience leading and driving impactful projects in the AI Space Experience in Generative AI (Large Language Models, Multimodal). Hands-on experience training, fine-tuning, and aligning LLMs using Reinforcement Learning and Reinforcement Fine-Tuning (RFT) techniques. Proactive and collaborative approach with the ability to work autonomously Passion for building cutting-edge AI products and solving challenging technical problems. Bonus Points: Proficiency in Golang or Python for large-scale, production-level services and PyTorch Contributions to open-source AI projects such as vLLM or similar frameworks. Performance optimizations on GPU systems and inference frameworks. Benefits: Competitive compensation Restricted Stock Units Paid time off & paid holidays Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Compensation Range Compensation will be paid in the range of up to $172,425 - $230,945 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionJob Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: A lab signs with CoreWeave. They have thousands of GPUs waiting. Their first month? Spent on cluster setup instead of research. Building deployment scripts, fighting container images, wiring up job orchestration. They came to train models. Instead, they're doing operations. This is the problem. We're building the Applied Training team to fix it. You'll be an early member of a small team, responsible for our Kubernetes-native research cluster platform, or the sandbox client for agentic training and evaluation, or possibly a new project altogether. The goal is specific: give every CoreWeave customer the research infrastructure that currently only exists inside frontier labs. In this role, you will: Contribute to the roadmap for Applied Training - figure out what actually unlocks new workloads and what's just nice to have Work directly and closely with customers, and other teams inside CoreWeave that are building cloud native primitives: compute, storage, networking, etc. For the research cluster platform: design and build a complete research cluster experience - CLI, job configuration schema, Kubernetes operators, daemons - solving the problems researchers actually hit: code distribution, checkpoint-triggered evaluation, cross-cluster scheduling, programmatic job control For sandbox infrastructure: own the Python SDK and work in a tight loop with the backend team, enabling RL training runs to spawn thousands of isolated containers for agent rollouts and agent benchmarks at scale Write documentation for running popular OSS training frameworks on CoreWeave to unblock customers and help them succeed Work with infrastructure teams and customers directly - the customers are large AI labs running thousands of GPUs; understand how they structure their internal supercomputing stacks and bring that knowledge back to what we build Who You Are: 8-12+ years building distributed systems, ML infrastructure, or developer platforms Real Kubernetes experience: custom controllers, operators, scheduling, CRDs, workload orchestration at scale - not just deploying things to Kubernetes or cluster administration You understand what makes researchers productive: code distribution matters, fast iteration cycles matter, workflows that don't require becoming infrastructure experts matter Familiarity with training: how distributed jobs get scheduled, how ranks initialize, what breaks at scale You've shipped infrastructure that other people rely on daily - not prototypes, production systems Strong communicator who can work with customers and translate researcher complaints into system designs Preferred: Experience building internal ML platforms or research clusters at a company doing large-scale training Familiarity with agentic AI: RL training with rollouts, agent evaluation, sandbox isolation for running untrusted code Background with Slurm, Ray, or similar workload orchestration, and opinions on where they fall short Experience with container runtimes, isolation (gVisor, Kata), or serverless platforms OSS contributions to Kubernetes SIGs, Ray, PyTorch, or similar Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $182,000 - $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionJob Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: A lab signs with CoreWeave. They have thousands of GPUs waiting. Their first month? Spent on cluster setup instead of research. Building deployment scripts, fighting container images, wiring up job orchestration. They came to train models. Instead, they're doing operations. This is the problem. We're building the Applied Training team to fix it. You'll be an early member of a small team, responsible for our Kubernetes-native research cluster platform, or the sandbox client for agentic training and evaluation, or possibly a new project altogether. The goal is specific: give every CoreWeave customer the research infrastructure that currently only exists inside frontier labs. In this role, you will: Contribute to the roadmap for Applied Training - figure out what actually unlocks new workloads and what's just nice to have Work directly and closely with customers, and other teams inside CoreWeave that are building cloud native primitives: compute, storage, networking, etc. For the research cluster platform: design and build a complete research cluster experience - CLI, job configuration schema, Kubernetes operators, daemons - solving the problems researchers actually hit: code distribution, checkpoint-triggered evaluation, cross-cluster scheduling, programmatic job control For sandbox infrastructure: own the Python SDK and work in a tight loop with the backend team, enabling RL training runs to spawn thousands of isolated containers for agent rollouts and agent benchmarks at scale Write documentation for running popular OSS training frameworks on CoreWeave to unblock customers and help them succeed Work with infrastructure teams and customers directly - the customers are large AI labs running thousands of GPUs; understand how they structure their internal supercomputing stacks and bring that knowledge back to what we build Who You Are: 8-12+ years building distributed systems, ML infrastructure, or developer platforms Real Kubernetes experience: custom controllers, operators, scheduling, CRDs, workload orchestration at scale - not just deploying things to Kubernetes or cluster administration You understand what makes researchers productive: code distribution matters, fast iteration cycles matter, workflows that don't require becoming infrastructure experts matter Familiarity with training: how distributed jobs get scheduled, how ranks initialize, what breaks at scale You've shipped infrastructure that other people rely on daily - not prototypes, production systems Strong communicator who can work with customers and translate researcher complaints into system designs Preferred: Experience building internal ML platforms or research clusters at a company doing large-scale training Familiarity with agentic AI: RL training with rollouts, agent evaluation, sandbox isolation for running untrusted code Background with Slurm, Ray, or similar workload orchestration, and opinions on where they fall short Experience with container runtimes, isolation (gVisor, Kata), or serverless platforms OSS contributions to Kubernetes SIGs, Ray, PyTorch, or similar Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $182,000 - $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionJob Description Immediate Opening for a Senior Software Engineer (North Orange County, CA) SNAPSHOT! Are you the type of individual that is motivated by the challenge of a dynamic, complex, yet rewarding career? The Senior Software Engineer will have a deep interest or experience in computational geometry, CAD/CAM systems, and geometric algorithms. In this role, you'll work directly with our CTO and software team to develop the geometric engine that powers our manufacturing platform. You'll build systems that analyze customer CAD models, automate manufacturability assessments, generate tooling and production geometry, and help bridge the gap between digital design and physical manufacturing. Key Responsibilities Include: Build software that analyzes, manipulates, and generates complex 3D geometry Develop algorithms that evaluate manufacturability of composite parts and tooling Build interfaces to program machining equipment to automate workflows Develop internal engineering tools that improve speed, quality, and scalability across the factory Collaborate closely with manufacturing, operations, and software teams to translate real-world production challenges into software solutions Help shape technical architecture and mentor other engineers as the team grows Experience & Qualifications: Experience with Rust, C++, Go, or other performance-oriented languages Experience working with computational geometry, CAD/CAM systems, graphics, or geometric modeling Experience with mesh processing, solid modeling, or geometric kernels Familiarity with manufacturing processes, CNC machining, tooling, or automation systems Experience developing algorithms for geometric analysis, optimization, or manufacturability Startup or small-team experience in fast-moving environments Strong foundation in mathematics, physics, computer graphics, robotics, or related fields KEY BENEFITS INCLUDE: 401k Paid vacation + sick time + paid holidays Friendly, employee-centric company culture Amazing health benefits (medical, dental, vision, life insurance, etc) Client is offering a base of $150-200K DOE

Job DescriptionJob Description Immediate Opening for a Senior Software Engineer (North Orange County, CA) SNAPSHOT! Are you the type of individual that is motivated by the challenge of a dynamic, complex, yet rewarding career? The Senior Software Engineer will have a deep interest or experience in computational geometry, CAD/CAM systems, and geometric algorithms. In this role, you'll work directly with our CTO and software team to develop the geometric engine that powers our manufacturing platform. You'll build systems that analyze customer CAD models, automate manufacturability assessments, generate tooling and production geometry, and help bridge the gap between digital design and physical manufacturing. Key Responsibilities Include: Build software that analyzes, manipulates, and generates complex 3D geometry Develop algorithms that evaluate manufacturability of composite parts and tooling Build interfaces to program machining equipment to automate workflows Develop internal engineering tools that improve speed, quality, and scalability across the factory Collaborate closely with manufacturing, operations, and software teams to translate real-world production challenges into software solutions Help shape technical architecture and mentor other engineers as the team grows Experience & Qualifications: Experience with Rust, C++, Go, or other performance-oriented languages Experience working with computational geometry, CAD/CAM systems, graphics, or geometric modeling Experience with mesh processing, solid modeling, or geometric kernels Familiarity with manufacturing processes, CNC machining, tooling, or automation systems Experience developing algorithms for geometric analysis, optimization, or manufacturability Startup or small-team experience in fast-moving environments Strong foundation in mathematics, physics, computer graphics, robotics, or related fields KEY BENEFITS INCLUDE: 401k Paid vacation + sick time + paid holidays Friendly, employee-centric company culture Amazing health benefits (medical, dental, vision, life insurance, etc) Client is offering a base of $150-200K DOE

Job DescriptionJob Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: The Senior Software Engineer for the AI Model Lifecycle team will play a crucial role in building a comprehensive managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs). What You'll Be Working On: Manage fine-tuning systems for large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration, checkpointing, failure recovery, and cost-efficient scaling. Implement and maintain end-to-end training pipelines for Large Language Models. RFT and Reinforcement learning to the fine tuning and training sections Distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling). Dataset, model, and experiment management: versioning, lineage, evaluation, and reproducible fine-tuning at scale. What You'll Bring to the Team: Advanced degree in Computer Science, Engineering, or a related field. 4-5+ years of industry experience leading and driving impactful projects in the AI Space Experience in Generative AI (Large Language Models, Multimodal). Hands-on experience training, fine-tuning, and aligning LLMs using Reinforcement Learning and Reinforcement Fine-Tuning (RFT) techniques. Proactive and collaborative approach with the ability to work autonomously Passion for building cutting-edge AI products and solving challenging technical problems. Bonus Points: Proficiency in Golang or Python for large-scale, production-level services and PyTorch Contributions to open-source AI projects such as vLLM or similar frameworks. Performance optimizations on GPU systems and inference frameworks. Benefits: Competitive compensation Restricted Stock Units Paid time off & paid holidays Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Compensation Range Compensation will be paid in the range of up to $172,425 - $230,945 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionJob Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities. In this role, you'll develop and deploy advanced machine learning models that enable autonomous systems to better understand, reason about, and interact with their environment. You'll partner closely with machine learning researchers, autonomy engineers, perception engineers, and platform teams to translate emerging AI capabilities into reliable, production-ready systems for U.S. and international defense customers. This is an ideal opportunity for engineers who enjoy building state-of-the-art AI systems while solving the practical challenges of deploying them on operational autonomous platforms. What You'll Do: Model Development - Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. Data Pipelines & Model Training - Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. Model Deployment & Optimization - Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. Perception & Autonomy Applications - Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. Research-to-Production - Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. Cross-functional Collaboration - Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. Model Evaluation & Validation - Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. Continuous Improvement - Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. Required Qualifications: Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 9 years and a Master's degree; or 7 years with a PhD; or equivalent work experience. Mastery of machine learning fundamentals. Experience training an deploying ML models for computer vision in a production setting. Strong understanding of 3D vision problems/algorithms. Experience with machine learning frameworks such as PyTorch and TensorFlow. Demonstrated expertise in deploying models using TensorRT and ONNX. Proficiency in C++ and Python. Strong analytical and problem-solving skills, with the ability to translate research into practical applications. Ability to obtain a SECRET clearance Preferred Qualifications: Experience with developing autonomous systems for defense customers. Experience with training/finetuning vision-language models, vision-language-action models, and/or world models. Contributions to open-source projects in machine learning or computer vision. Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA). Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities. In this role, you'll develop and deploy advanced machine learning models that enable autonomous systems to better understand, reason about, and interact with their environment. You'll partner closely with machine learning researchers, autonomy engineers, perception engineers, and platform teams to translate emerging AI capabilities into reliable, production-ready systems for U.S. and international defense customers. This is an ideal opportunity for engineers who enjoy building state-of-the-art AI systems while solving the practical challenges of deploying them on operational autonomous platforms. What You'll Do: Model Development - Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. Data Pipelines & Model Training - Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. Model Deployment & Optimization - Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. Perception & Autonomy Applications - Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. Research-to-Production - Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. Cross-functional Collaboration - Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. Model Evaluation & Validation - Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. Continuous Improvement - Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. Required Qualifications: Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 9 years and a Master's degree; or 7 years with a PhD; or equivalent work experience. Mastery of machine learning fundamentals. Experience training an deploying ML models for computer vision in a production setting. Strong understanding of 3D vision problems/algorithms. Experience with machine learning frameworks such as PyTorch and TensorFlow. Demonstrated expertise in deploying models using TensorRT and ONNX. Proficiency in C++ and Python. Strong analytical and problem-solving skills, with the ability to translate research into practical applications. Ability to obtain a SECRET clearance Preferred Qualifications: Experience with developing autonomous systems for defense customers. Experience with training/finetuning vision-language models, vision-language-action models, and/or world models. Contributions to open-source projects in machine learning or computer vision. Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA). Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob Description This position follows a hybrid work model, requiring once a week in-office attendance. Come work in a startup like environment (small team, big challenges, massive growth opportunity, relaxed office culture) with solid company stability (40+ years) and benefits including health, paid holidays, 401K, PTO, remote work friendly and great office views. Together with our 200+ university research partners, we have built PredictIt, into the "The Stock Market of Politics" where 100,000+ enthusiastic Traders make $1 winner-take-all political forecasts with stunning accuracy thanks to the wisdom of the crowd. Now we need your help taking it to the next level. As a Senior .Net Software Engineer for PredictIt you will get to work on challenging and rewarding projects across the tech stack: from creating innovative web experiences to redesigning the financial engine at the heart of millions of dollars of transactions. You'll be part of small team and have opportunities to take on exciting challenges and responsibilities that make the job extremely fulfilling and rewarding. Job Responsibilities Develop, maintain, and improve C#/ASP.NET backend systems Work as a team to architect the next version of our C# trading engine utilizing your expertise to enhance performance and scalability. Conduct architectural and technical reviews during the software development life cycle, providing valuable insights and recommendations for performance improvements. Apply best practices, design patterns, and cutting-edge technologies of web development and mobile development to create innovative and high-performing software solutions that people love to use. Collaborate with project teams and business owners to proactively analyze system performance, gather information on limitations, capabilities, performance requirements, and hardware/software interfaces. Develop specifications and resolve technical issues related to performance. Requirements Bachelor's degree in computer science or a related field required A minimum of 5 years of experience designing and developing C# enterprise software Strong proficiency in C# and ASP.NET Knowledge of design patterns and SOLID principles Understanding of modern programming practices: dependency injection, async/await, clean architecture, etc. Experience working in distributed systems, pub/sub, message queues, etc. Proficient with Entity Framework and SQL Server RESTful API design and implementation. Participate in code reviews, design discussions, and technical planning to improve the codebase and architecture. Experience working with high-volume, highly scalable SaaS (Software as a Service) infrastructures. Technology Stack: C#, ASP.NET Web API, SignalR Vuejs Frontend Entity Framework, SQL Server, Redis Azure, Azure DevOps Pluses: Experience developing financial systems Experience with Apache Kafka or similar Benefits All positions are Full-Time, with competitive compensation, medical benefits, paid vacation, 401k plan and stock options. Casual dress code and a non-corporate atmosphere make this a fun place to work and learn in a team environment.

Job DescriptionJob Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities. In this role, you'll develop and deploy advanced machine learning models that enable autonomous systems to better understand, reason about, and interact with their environment. You'll partner closely with machine learning researchers, autonomy engineers, perception engineers, and platform teams to translate emerging AI capabilities into reliable, production-ready systems for U.S. and international defense customers. This is an ideal opportunity for engineers who enjoy building state-of-the-art AI systems while solving the practical challenges of deploying them on operational autonomous platforms. What You'll Do: Model Development - Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. Data Pipelines & Model Training - Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. Model Deployment & Optimization - Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. Perception & Autonomy Applications - Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. Research-to-Production - Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. Cross-functional Collaboration - Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. Model Evaluation & Validation - Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. Continuous Improvement - Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. Required Qualifications: Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 9 years and a Master's degree; or 7 years with a PhD; or equivalent work experience. Mastery of machine learning fundamentals. Experience training an deploying ML models for computer vision in a production setting. Strong understanding of 3D vision problems/algorithms. Experience with machine learning frameworks such as PyTorch and TensorFlow. Demonstrated expertise in deploying models using TensorRT and ONNX. Proficiency in C++ and Python. Strong analytical and problem-solving skills, with the ability to translate research into practical applications. Ability to obtain a SECRET clearance Preferred Qualifications: Experience with developing autonomous systems for defense customers. Experience with training/finetuning vision-language models, vision-language-action models, and/or world models. Contributions to open-source projects in machine learning or computer vision. Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA). Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob Description Job Title: Embedded Software Engineer (Jr.-Mid Levels)Department: EngineeringReports To: Director of EngineeringJob SummaryVanteon is openly seeking applicants for Embedded Software Engineer positions. Based on the applicant's level of experience, they may be classified as a Junior-level. In general, this role is responsible for performing embedded software design and implementation with the guidance of more senior staff.Duties/ResponsibilitiesThe following is a list of expected duties to be involved with the position. It is not fully inclusive, and additional ones may be assigned as determined by management:Support development of Requirement SpecificationsCreate other technical documentation, including design documents and development notes.Design and implement embedded software solutions, device drivers, and board support packagesProvide project estimates and technical support for the Sales ProcessRapidly understand and become proficient with existing code basesCollaborate with hardware and other engineers in design and integration efforts.Required Specialized Skills/KnowledgeEmbedded systems software for real-time bare-metal, RTOSs, and embedded Linux based systems.Multi-threaded programming, distributed design, device driver development, hardware level diagnostics, BIOS / Bootloader development and configuration, and interrupt handling.Proficient with C/C++ and able to work at the assembly level for embedded processors.Experience using embedded tools such as compilers, debuggers, ICE, EmulatorsHardware/software interface design experience (SPI, I2C, LVDS, DMA, etc.)Proven track record of successful product completion and deploymentExcellent writing, analytical, and verbal communication skillsHighly motivated, well-organized self-starterDesired SkillsLinux kernel driver and application software developmentLinux BSP bring-up on custom hardware platformsFPGA HDL and block design familiarityExperience with Python for automated test fixturingKnowledge of C/C++ and object-oriented design approaches to reusable software systems designKnowledge of common CI/CD tools and methodologies.Experience with UML design modeling and toolsExperience with common build management systems (make, etc.) and git version control systems.Education and Experience: Bachelor of Science in Electrical Engineering, Computer Engineering, Computer Science or Software Engineering Preference to those with an MS and/or coop experience 1-5 years of experience in embedded software developmentPhysical Requirements:Prolonged periods sitting at a desk and working on a computerBe able to perform low to moderately strenuous physical activities requiring standing, walking, and reaching.Must be able to lift up to 15 physical demands described above represent those that an employee must meet to perform the essential functions of this job successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.Equal Opportunity EmployerVanteon Corporation provides equal employment opportunities to all employees and applicants for employment. It 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.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.Compensation RangeA candidate's compensation will depend heavily on their skills and experience and will include a very competitive benefits package. Position is eligible for a variety of bonuses, including client referrals, employee referrals, publications, and extra effort.The estimated range for specific positions associated with this job posting is:Junior Engineer - $80,000 to $95,000Engineer - $90,000 to $105,000Senior Engineer - $100,000 to $120,000 (for those applicants with significant experience)ApplyingApplicants should submit a resume and cover letter to Ronnie Ells - note that all offers for hire are contingent on passing e-verification, background checks, and drug screenings. In addition, you must be able to work with ITAR and CUI VanteonVanteon LLC, a wholly owned subsidiary of Performance Drone Works, is an engineering services company specializing in wireless and RF design. We offer Analog, Digital, RF, Hardware, Software, and FPGA design services. At Vanteon, we develop products for companies that range from small start-ups to large Fortune 50 companies. The designs we create include Software-Defined Radio (SDR), Wi-Fi, Bluetooth, etc., for markets such as telecom (3G, 4G, 5G cellular), Aviation, Medical, Government, Industrial, and more. Types of projects include handheld devices, wearables, RADAR, signal/spectrum analyzers, and wireless widgets of all kinds. Vanteon has been voted one of the "Best Companies to Work for in NY" for 15 years running; most times, we've ranked in the top 5.

Job DescriptionJob Description Job Title: Embedded Software Engineer (Jr.-Mid Levels)Department: EngineeringReports To: Director of EngineeringJob SummaryVanteon is openly seeking applicants for Embedded Software Engineer positions. Based on the applicant's level of experience, they may be classified as a Junior-level. In general, this role is responsible for performing embedded software design and implementation with the guidance of more senior staff.Duties/ResponsibilitiesThe following is a list of expected duties to be involved with the position. It is not fully inclusive, and additional ones may be assigned as determined by management:Support development of Requirement SpecificationsCreate other technical documentation, including design documents and development notes.Design and implement embedded software solutions, device drivers, and board support packagesProvide project estimates and technical support for the Sales ProcessRapidly understand and become proficient with existing code basesCollaborate with hardware and other engineers in design and integration efforts.Required Specialized Skills/KnowledgeEmbedded systems software for real-time bare-metal, RTOSs, and embedded Linux based systems.Multi-threaded programming, distributed design, device driver development, hardware level diagnostics, BIOS / Bootloader development and configuration, and interrupt handling.Proficient with C/C++ and able to work at the assembly level for embedded processors.Experience using embedded tools such as compilers, debuggers, ICE, EmulatorsHardware/software interface design experience (SPI, I2C, LVDS, DMA, etc.)Proven track record of successful product completion and deploymentExcellent writing, analytical, and verbal communication skillsHighly motivated, well-organized self-starterDesired SkillsLinux kernel driver and application software developmentLinux BSP bring-up on custom hardware platformsFPGA HDL and block design familiarityExperience with Python for automated test fixturingKnowledge of C/C++ and object-oriented design approaches to reusable software systems designKnowledge of common CI/CD tools and methodologies.Experience with UML design modeling and toolsExperience with common build management systems (make, etc.) and git version control systems.Education and Experience: Bachelor of Science in Electrical Engineering, Computer Engineering, Computer Science or Software Engineering Preference to those with an MS and/or coop experience 1-5 years of experience in embedded software developmentPhysical Requirements:Prolonged periods sitting at a desk and working on a computerBe able to perform low to moderately strenuous physical activities requiring standing, walking, and reaching.Must be able to lift up to 15 physical demands described above represent those that an employee must meet to perform the essential functions of this job successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.Equal Opportunity EmployerVanteon Corporation provides equal employment opportunities to all employees and applicants for employment. It 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.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.Compensation RangeA candidate's compensation will depend heavily on their skills and experience and will include a very competitive benefits package. Position is eligible for a variety of bonuses, including client referrals, employee referrals, publications, and extra effort.The estimated range for specific positions associated with this job posting is:Junior Engineer - $80,000 to $95,000Engineer - $90,000 to $105,000Senior Engineer - $100,000 to $120,000 (for those applicants with significant experience)ApplyingApplicants should submit a resume and cover letter to Ronnie Ells - note that all offers for hire are contingent on passing e-verification, background checks, and drug screenings. In addition, you must be able to work with ITAR and CUI VanteonVanteon LLC, a wholly owned subsidiary of Performance Drone Works, is an engineering services company specializing in wireless and RF design. We offer Analog, Digital, RF, Hardware, Software, and FPGA design services. At Vanteon, we develop products for companies that range from small start-ups to large Fortune 50 companies. The designs we create include Software-Defined Radio (SDR), Wi-Fi, Bluetooth, etc., for markets such as telecom (3G, 4G, 5G cellular), Aviation, Medical, Government, Industrial, and more. Types of projects include handheld devices, wearables, RADAR, signal/spectrum analyzers, and wireless widgets of all kinds. Vanteon has been voted one of the "Best Companies to Work for in NY" for 15 years running; most times, we've ranked in the top 5.

Job DescriptionJob DescriptionDescription: Hybrid At least 2 days per week in office in Irving, TX Our client seeks a Senior Software Engineer to design and deliver cloud-native data platforms that enable data-driven, omnichannel marketing. You will define engineering standards, set technical direction, and build secure, reliable systems across Java, Python, Spark, Angular, AWS, and event-driven architectures. You will collaborate with cross-functional stakeholders, own the software development lifecycle, and mentor engineers to ensure scalable, observable, and cost-effective solutions for Customer Data Platform initiatives. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $75.00 to $65.00/hr. w2 JN -42 Responsibilities: Deliver large-scale cloud-native data platforms on AWS using REST APIs, microservices, and event-driven applications for scalable and resilient systems. Work across the stack with Java, Python, Spark, TypeScript, JavaScript, Angular, AWS services, event-driven architectures, and SQL/NoSQL databases. Drive performance optimization, scalability, reliability, security, governance, and cost efficiency. Collaborate with global engineering, product management, architecture, and business stakeholders to align technical solutions with objectives. Own the end-to-end SDLC including requirements, design, development, deployment, observability, and documentation. Experience Requirements: 5-8 years of software engineering with expertise in scalable UX-driven applications and distributed systems. Designing and building REST APIs, microservices, and Kubernetes-based distributed systems. Data Warehousing, Data Lakes, Delta Lake, and modern big data ecosystem designs. Hands-on Python, Java, and Angular with knowledge of object-oriented and functional patterns. PySpark and Apache Spark for high-performance distributed data processing. Microservices development with Kubernetes for eventing and serving. AWS services including S3, Lambda, API Gateway, and EventBridge. Messaging and event-driven tech such as Kafka, SNS, SQS, plus relational and NoSQL databases including PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Redis. Infrastructure as Code with Terraform and Ansible. CI/CD and DevOps using Jenkins, GitHub/GitLab, Bitbucket, and GoCD with automated pipelines. Robust testing practices including unit, integration, and regression testing. Strong analytical skills for diagnosing and resolving complex technical problems. Exposure to Generative AI, including LLMs, RAG, and agentic systems. Nice to have: PySpark with Databricks, Azure and/or GCP, and experience in privacy-safe CDPs or MarTech environments. Education Requirements: B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or related field. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: When you work with Eliassen Group, all email communication will come from an address, never Gmail, Yahoo, etc. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job DescriptionJob DescriptionDescription: Hybrid At least 2 days per week in office in Irving, TX Our client seeks a Senior Software Engineer to design and deliver cloud-native data platforms that enable data-driven, omnichannel marketing. You will define engineering standards, set technical direction, and build secure, reliable systems across Java, Python, Spark, Angular, AWS, and event-driven architectures. You will collaborate with cross-functional stakeholders, own the software development lifecycle, and mentor engineers to ensure scalable, observable, and cost-effective solutions for Customer Data Platform initiatives. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $75.00 to $65.00/hr. w2 JN -42 Responsibilities: Deliver large-scale cloud-native data platforms on AWS using REST APIs, microservices, and event-driven applications for scalable and resilient systems. Work across the stack with Java, Python, Spark, TypeScript, JavaScript, Angular, AWS services, event-driven architectures, and SQL/NoSQL databases. Drive performance optimization, scalability, reliability, security, governance, and cost efficiency. Collaborate with global engineering, product management, architecture, and business stakeholders to align technical solutions with objectives. Own the end-to-end SDLC including requirements, design, development, deployment, observability, and documentation. Experience Requirements: 5-8 years of software engineering with expertise in scalable UX-driven applications and distributed systems. Designing and building REST APIs, microservices, and Kubernetes-based distributed systems. Data Warehousing, Data Lakes, Delta Lake, and modern big data ecosystem designs. Hands-on Python, Java, and Angular with knowledge of object-oriented and functional patterns. PySpark and Apache Spark for high-performance distributed data processing. Microservices development with Kubernetes for eventing and serving. AWS services including S3, Lambda, API Gateway, and EventBridge. Messaging and event-driven tech such as Kafka, SNS, SQS, plus relational and NoSQL databases including PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Redis. Infrastructure as Code with Terraform and Ansible. CI/CD and DevOps using Jenkins, GitHub/GitLab, Bitbucket, and GoCD with automated pipelines. Robust testing practices including unit, integration, and regression testing. Strong analytical skills for diagnosing and resolving complex technical problems. Exposure to Generative AI, including LLMs, RAG, and agentic systems. Nice to have: PySpark with Databricks, Azure and/or GCP, and experience in privacy-safe CDPs or MarTech environments. Education Requirements: B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or related field. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: When you work with Eliassen Group, all email communication will come from an address, never Gmail, Yahoo, etc. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job DescriptionJob Description Why LeoLabs? At LeoLabs, we're building the living map of activity in space. Through our proprietary global radar network and AI-enabled analytics platform, we collect millions of measurements daily on more than 25,000 objects in low Earth orbit (LEO). Our radar-powered intelligence protects billions in assets, monitors adversarial behavior, and ensures safe operations for commercial and government missions. We're not just building technology, we are redefining global security, safety, and transparency in space. As orbital activity accelerates and threats grow more complex, LeoLabs is a trusted partner for Space Domain Awareness, Space Traffic Management, and Satellite Operations for top-tier space operators and allied defense organizations. If you're looking to work on mission-critical challenges at the forefront of aerospace, national security, and AI, your impact starts here. LeoLabs is seeking a Senior Radar Software Engineer to develop, integrate, and optimize software systems supporting advanced radar operations and space domain awareness missions. This role will work closely with radar systems engineers, signal processing engineers, data scientists, and software developers to deliver high-performance radar capabilities that support mission-critical customer requirements. The ideal candidate has experience developing software for radar, sensor, defense, aerospace, or real-time data processing systems and enjoys solving complex technical challenges in a fast-paced environment. Responsibilities Design, develop, test, and maintain software supporting radar data collection, processing, analysis, and operational deployment. Develop interfaces and services supporting sensor operations, telemetry, data management, and mission execution. Develop scalable and reliable software solutions for radar control, monitoring, automation, and performance optimization. Collaborate with radar systems, signal processing, infrastructure, and operations teams to integrate new capabilities into operational environments. Support software architecture development and technical design reviews. Participate in system integration, verification, validation, and field testing activities. Troubleshoot operational issues and support root-cause analysis for software and system anomalies. Contribute to software development best practices, code reviews, and technical documentation. Support customer demonstrations, technical briefings, and operational readiness activities as needed. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline. 7+ years of professional software engineering experience. Strong programming experience in Python, C++, or similar languages. Experience designing and developing distributed systems, APIs, and data-intensive applications. Experience with Linux-based development environments. Familiarity with software testing, CI/CD pipelines, and DevOps practices. Strong problem-solving skills and ability to work effectively in multidisciplinary engineering teams. Eligibility to obtain and maintain a U.S. Personnel Security Clearance. Preferred Qualifications Experience with radar systems, RF systems, signal processing, or sensor data processing applications. Experience supporting U.S. Department of Defense, Intelligence Community, or Space Force programs. Experience working with bare-metal systems Familiarity working in constrained compute environments Experience working with large-scale telemetry, tracking, or real-time data processing systems. Active U.S. Secret or Top Secret Personnel Security Clearance. Experience supporting classified programs and secure computing environments. Compensation The base salary range for this position is $173,800 + bonus + stock options + benefits Compensation Note: The salary range for this position is benchmarked based on the designated primary work location for the role. Final compensation may vary depending on the selected candidate's work location, applicable market data, experience, qualifications, and other job-related factors. Perks and Benefits Global workforce: flexible remote/hybrid opportunities Work on complex, meaningful missions with real-world impact Unlimited paid time off for most roles Competitive salary and equity packages Comprehensive health, dental, and vision coverage Access to the forefront of commercial space operations and defense innovation ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be eligible to obtain the required authorizations from the U.S. Department of State. More information regarding ITAR can be found at DDTC's website. Vendor Notification LeoLabs does not engage external staffing agencies or third-party recruiting firms for this role. Unsolicited candidate submissions will not be considered. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job DescriptionJob Description Why LeoLabs? At LeoLabs, we're building the living map of activity in space. Through our proprietary global radar network and AI-enabled analytics platform, we collect millions of measurements daily on more than 25,000 objects in low Earth orbit (LEO). Our radar-powered intelligence protects billions in assets, monitors adversarial behavior, and ensures safe operations for commercial and government missions. We're not just building technology, we are redefining global security, safety, and transparency in space. As orbital activity accelerates and threats grow more complex, LeoLabs is a trusted partner for Space Domain Awareness, Space Traffic Management, and Satellite Operations for top-tier space operators and allied defense organizations. If you're looking to work on mission-critical challenges at the forefront of aerospace, national security, and AI, your impact starts here. LeoLabs is seeking a Senior Radar Software Engineer to develop, integrate, and optimize software systems supporting advanced radar operations and space domain awareness missions. This role will work closely with radar systems engineers, signal processing engineers, data scientists, and software developers to deliver high-performance radar capabilities that support mission-critical customer requirements. The ideal candidate has experience developing software for radar, sensor, defense, aerospace, or real-time data processing systems and enjoys solving complex technical challenges in a fast-paced environment. Responsibilities Design, develop, test, and maintain software supporting radar data collection, processing, analysis, and operational deployment. Develop interfaces and services supporting sensor operations, telemetry, data management, and mission execution. Develop scalable and reliable software solutions for radar control, monitoring, automation, and performance optimization. Collaborate with radar systems, signal processing, infrastructure, and operations teams to integrate new capabilities into operational environments. Support software architecture development and technical design reviews. Participate in system integration, verification, validation, and field testing activities. Troubleshoot operational issues and support root-cause analysis for software and system anomalies. Contribute to software development best practices, code reviews, and technical documentation. Support customer demonstrations, technical briefings, and operational readiness activities as needed. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline. 7+ years of professional software engineering experience. Strong programming experience in Python, C++, or similar languages. Experience designing and developing distributed systems, APIs, and data-intensive applications. Experience with Linux-based development environments. Familiarity with software testing, CI/CD pipelines, and DevOps practices. Strong problem-solving skills and ability to work effectively in multidisciplinary engineering teams. Eligibility to obtain and maintain a U.S. Personnel Security Clearance. Preferred Qualifications Experience with radar systems, RF systems, signal processing, or sensor data processing applications. Experience supporting U.S. Department of Defense, Intelligence Community, or Space Force programs. Experience working with bare-metal systems Familiarity working in constrained compute environments Experience working with large-scale telemetry, tracking, or real-time data processing systems. Active U.S. Secret or Top Secret Personnel Security Clearance. Experience supporting classified programs and secure computing environments. Compensation The base salary range for this position is $173,800 + bonus + stock options + benefits Compensation Note: The salary range for this position is benchmarked based on the designated primary work location for the role. Final compensation may vary depending on the selected candidate's work location, applicable market data, experience, qualifications, and other job-related factors. Perks and Benefits Global workforce: flexible remote/hybrid opportunities Work on complex, meaningful missions with real-world impact Unlimited paid time off for most roles Competitive salary and equity packages Comprehensive health, dental, and vision coverage Access to the forefront of commercial space operations and defense innovation ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be eligible to obtain the required authorizations from the U.S. Department of State. More information regarding ITAR can be found at DDTC's website. Vendor Notification LeoLabs does not engage external staffing agencies or third-party recruiting firms for this role. Unsolicited candidate submissions will not be considered. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job DescriptionJob DescriptionJob Description ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL is required Do you like to tackle complex software challenges? If you love mastering high-throughput data streams, engineering massive enterprise data flows, and architecting resilient cloud-native infrastructure, you're in the right place! We are looking for a Senior Data Integration Engineer who shares our drive to push boundaries and build secure, data-driven applications that make a real difference. In this role, you will develop and integrate Kubernetes-hosted services to directly power the CTI sharing mission. This position is a fantastic opportunity to deliver solutions that make a real impact on national security. Location Work Environment Primary Location: Annapolis Junction, MD Work Style: Hybrid telework (eligible once candidate is integrated into the team) Compensation Benefits The annual base salary range for this role is $189,000 - $224,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered may vary based upon geographic location, work experience, education, and/or skill level. , Required Skills Clearance: Active Fully-Cleared with Poly. Enterprise Services: Strong understanding of enterprise data flow services, specifically Apache NiFi. Cloud Architecture: Solid knowledge of Cloud Service Provider (CSP) offerings, specifically AWS and Azure. Development Scripting: Working knowledge and hands-on experience with Python, Java, and Bash scripting. Cybersecurity Standards: Strong familiarity with Oasis STIX and TAXII standards for cyber threat intelligence sharing. Containerization: Proficiency in Kubernetes containerization, orchestration, management, and scaling. Integration: Strong, proven skills in enterprise service integration. Education Experience Experience: Minimum of seven (7) years of experience as a Software Engineer (SWE) on programs and contracts of similar scope, type, and complexity. Education: Bachelor's degree in Computer Science or a related technical discipline from an accredited college or university. Substitution: Four (4) years of additional software engineering experience may substitute for a bachelor's degree (totaling 11 years of experience). , Desired Skills Experience deploying automated CI/CD pipelines within a Kubernetes environment. Familiarity with secure coding practices and defending cloud-hosted microservices. Excellent collaborative skills for working effectively across cross-functional M2M (Machine-to-Machine) teams. , About Nyla Technology Solutions Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done. If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla's team, Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you're at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract (over 40 hrs/week). There's even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That's up to 240 hours of leave plus 11 holidays! That's not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla's health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place. To learn more about Nyla's culture and our exceptional benefit packages click here. Nyla is an equal opportunity employer.

Job DescriptionJob DescriptionJob Description ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL is required Do you like to tackle complex software challenges? If you love mastering high-throughput data streams, engineering massive enterprise data flows, and architecting resilient cloud-native infrastructure, you're in the right place! We are looking for a Senior Data Integration Engineer who shares our drive to push boundaries and build secure, data-driven applications that make a real difference. In this role, you will develop and integrate Kubernetes-hosted services to directly power the CTI sharing mission. This position is a fantastic opportunity to deliver solutions that make a real impact on national security. Location Work Environment Primary Location: Annapolis Junction, MD Work Style: Hybrid telework (eligible once candidate is integrated into the team) Compensation Benefits The annual base salary range for this role is $189,000 - $224,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered may vary based upon geographic location, work experience, education, and/or skill level. , Required Skills Clearance: Active Fully-Cleared with Poly. Enterprise Services: Strong understanding of enterprise data flow services, specifically Apache NiFi. Cloud Architecture: Solid knowledge of Cloud Service Provider (CSP) offerings, specifically AWS and Azure. Development Scripting: Working knowledge and hands-on experience with Python, Java, and Bash scripting. Cybersecurity Standards: Strong familiarity with Oasis STIX and TAXII standards for cyber threat intelligence sharing. Containerization: Proficiency in Kubernetes containerization, orchestration, management, and scaling. Integration: Strong, proven skills in enterprise service integration. Education Experience Experience: Minimum of seven (7) years of experience as a Software Engineer (SWE) on programs and contracts of similar scope, type, and complexity. Education: Bachelor's degree in Computer Science or a related technical discipline from an accredited college or university. Substitution: Four (4) years of additional software engineering experience may substitute for a bachelor's degree (totaling 11 years of experience). , Desired Skills Experience deploying automated CI/CD pipelines within a Kubernetes environment. Familiarity with secure coding practices and defending cloud-hosted microservices. Excellent collaborative skills for working effectively across cross-functional M2M (Machine-to-Machine) teams. , About Nyla Technology Solutions Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done. If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla's team, Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you're at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract (over 40 hrs/week). There's even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That's up to 240 hours of leave plus 11 holidays! That's not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla's health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place. To learn more about Nyla's culture and our exceptional benefit packages click here. Nyla is an equal opportunity employer.

Job DescriptionJob DescriptionCompany Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description About the Role: We're looking for an experienced Senior React Native Software Engineer to help design, build, and evolve high-quality mobile experiences for iOS and Android. The ideal candidate is a hands-on engineer with deep experience delivering production React Native applications. You will influence mobile architecture, write maintainable and well-tested code, and collaborate closely with Product, Design, QA, and Engineering throughout the software development lifecycle. You should be comfortable taking ownership from initial design through release, monitoring, and continuous improvement. What You'll Do: Design, build, test, and maintain scalable React Native applications for iOS and Android. Develop reusable, accessible, and high-performing components using React Native and TypeScript. Guide architectural decisions across navigation, state management, data access, and native integrations. Integrate REST and GraphQL APIs, authentication services, analytics platforms, and third-party SDKs. Own features from technical design through testing, release, monitoring, and production support. Partner with Product, Design, QA, and backend engineers to deliver effective technical solutions. Improve application performance, reliability, automated testing, CI/CD, tooling, and release processes. Contribute through code reviews, technical discussions, knowledge sharing, and responsible technical-debt reduction. Qualifications What We're Looking For: 5+ years of software engineering experience, including 3+ years building and supporting production React Native applications. Strong proficiency with React Native, React, TypeScript, and modern JavaScript across iOS and Android. Strong understanding of mobile architecture, navigation, state management, component design, data persistence, and platform-specific behavior. Experience integrating REST or GraphQL APIs, authentication, and third-party services. Experience with automated testing, mobile build and signing, and Apple App Store and Google Play release processes. Ability to produce clean, secure, testable, and maintainable code using sound engineering practices. Strong ownership, communication, and problem-solving skills within a distributed engineering team. Experience using AI-assisted development tools or integrating AI into products or engineering workflows. Bonus Points: Experience with mobile CI/CD, over-the-air releases, observability, crash reporting, push notifications, deep linking, offline workflows, accessibility, or internationalization. Experience building high-traffic consumer applications or integrating payments, digital wallets, or native hardware. Experience with ticketing, concessions, point-of-sale, inventory, ordering, loyalty, cinema, entertainment, or hospitality platforms. Familiarity with Node.js, Ruby on Rails, relational databases, Redis, or AWS. Work Location This role has been designated as fully remote and is expected to be performed primarily from an employee's residence. Occasional travel is required, primarily within the United States several times a year and, in rare circumstances, globally. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. For LA County and City Residents Only: VERSANT Media will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job DescriptionJob DescriptionCompany Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description About the Role: We're looking for an experienced Senior React Native Software Engineer to help design, build, and evolve high-quality mobile experiences for iOS and Android. The ideal candidate is a hands-on engineer with deep experience delivering production React Native applications. You will influence mobile architecture, write maintainable and well-tested code, and collaborate closely with Product, Design, QA, and Engineering throughout the software development lifecycle. You should be comfortable taking ownership from initial design through release, monitoring, and continuous improvement. What You'll Do: Design, build, test, and maintain scalable React Native applications for iOS and Android. Develop reusable, accessible, and high-performing components using React Native and TypeScript. Guide architectural decisions across navigation, state management, data access, and native integrations. Integrate REST and GraphQL APIs, authentication services, analytics platforms, and third-party SDKs. Own features from technical design through testing, release, monitoring, and production support. Partner with Product, Design, QA, and backend engineers to deliver effective technical solutions. Improve application performance, reliability, automated testing, CI/CD, tooling, and release processes. Contribute through code reviews, technical discussions, knowledge sharing, and responsible technical-debt reduction. Qualifications What We're Looking For: 5+ years of software engineering experience, including 3+ years building and supporting production React Native applications. Strong proficiency with React Native, React, TypeScript, and modern JavaScript across iOS and Android. Strong understanding of mobile architecture, navigation, state management, component design, data persistence, and platform-specific behavior. Experience integrating REST or GraphQL APIs, authentication, and third-party services. Experience with automated testing, mobile build and signing, and Apple App Store and Google Play release processes. Ability to produce clean, secure, testable, and maintainable code using sound engineering practices. Strong ownership, communication, and problem-solving skills within a distributed engineering team. Experience using AI-assisted development tools or integrating AI into products or engineering workflows. Bonus Points: Experience with mobile CI/CD, over-the-air releases, observability, crash reporting, push notifications, deep linking, offline workflows, accessibility, or internationalization. Experience building high-traffic consumer applications or integrating payments, digital wallets, or native hardware. Experience with ticketing, concessions, point-of-sale, inventory, ordering, loyalty, cinema, entertainment, or hospitality platforms. Familiarity with Node.js, Ruby on Rails, relational databases, Redis, or AWS. Work Location This role has been designated as fully remote and is expected to be performed primarily from an employee's residence. Occasional travel is required, primarily within the United States several times a year and, in rare circumstances, globally. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. For LA County and City Residents Only: VERSANT Media will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.