Software Developer jobs at Mondo Media

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. AWS Neuron is the complete software stack for the AWS Trainium (Trn1/Trn2) and Inferentia (Inf1/Inf2) our cloud-scale Machine Learning accelerators. This role is for a Senior Machine Learning Engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT-OSS, Quen and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more. The ML Distributed Training team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with Trainium instances. Experience with training these large models using Pythorch is a must. Distributed training with awareness of strategies like FSDP (Fully-Sharded Data Parallel), PP, Context parallel. Distributed training libraries like torchtitan, torchtune , HF RL , DeepSeek etc are central to this and extending all of this for the Neuron based system is key focussing on enabling large scale training. Experience is post-training strategies like DPO/PPO/HF torch-tune will additional strength and aligns with team success. Key job responsibilities You will lead efforts to build distributed training support into PyTorch, the Neuron compiler, and runtime stacks. You will enable distribute training strategies as well as use them to optimize models to achieve peak performance and maximize efficiency on AWS custom silicon, including Trainium servers. Strong software development skills, the ability to deep dive, work effectively within cross-functional teams, and a solid foundation in Machine Learning are critical for success in this role. About the team Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team - Experience in machine learning, large scale training with LLMs and expertise in Pytorch. PREFERRED QUALIFICATIONS- Master's degree in computer science or equivalent - Experience in computer architecture - Previous software engineering expertise with Pytorch/Jax/Tensorflow, Distributed libraries and Frameworks, End-to-end Model Training. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

In this role you will be responsible for leading a technical team which is critical in providing compute sanitization to the Neuron ML accelerators fleet. You will work closely with the hardware and software teams to ensure the right tools are available for identifying defects or faulty states of the hardware before the customer hits an issue. Neuron Compute Sanitizer Tools develops and maintains a pre-check and functional correctness checking suite and provides visibility at the fleet level to understand the trends of hardware/software sanitization. Key job responsibilities * Provide technical leadership to the Compute Sanitization team * Work closely with the hardware and firmware design teams. * Collect requirements from various other teams including training, inference and runtime. * Collaborate with the runtime team to ensure timely release of the pre-check tools. * Anticipate future needs based on the product roadmap and develop necessary tools to sanitize compute. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Utility Computing (UC): AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. About AWS Neuron: AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. BASIC QUALIFICATIONS- 10+ years of engineering experience - 10+ years of planning, designing, developing and delivering consumer software experience - Experience partnering with product or program management teams - Experience as a tech lead of a large group of engineers PREFERRED QUALIFICATIONS- Experience designing and developing large scale, high-traffic applications - Experience with ML hardware/Software Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

Windows Application Developer (Kernel/Networking) Our client is seeking a Windows Application Developer with deep expertise in Windows kernel-level programming, networking, and enterprise security. This role focuses on building native agents for Windows (and some mac OS), leveraging WFP for firewalling, packet filtering, and enterprise VPN/ZeroTrust solutions. The ideal candidate is a true systems programmer who thrives in OS internals, networking stacks, and cross-platform agent development. Key Responsibilities Architect, develop, and maintain native Windows and mac OS agents using platform APIs, kernel interfaces, and WFP. Design and implement kernel-level networking solutions (firewalls, packet routing, VPNs, ZeroTrust). Develop Windows drivers and system components with WDK/Win32 APIs; ensure code signing and driver certification. Leverage BSD networking knowledge and mac OS Network/System Extensions for packet filtering and routing. Build cross-platform agent frameworks using Rust (40%) and Python (30%), with familiarity in Tauri/React UIs. Debug production issues including kernel crashes, driver bugs, and network failures. Implement observability stacks (Prometheus, Grafana, OpenTelemetry, ELK/Loki) for cross-platform monitoring. Collaborate across teams to deliver secure, stable, and high-performance networking solutions. Qualifications 6-8+ years in systems programming with a strong focus on Windows internals. Expertise in Windows Filtering Platform (WFP), Windows Driver Kit (WDK), Win32 APIs, and kernel networking. Strong knowledge of IP networking, routing protocols, DPS, firewalls, and BSD networking stacks. Proven experience shipping enterprise VPN, ZeroTrust, or endpoint security (XDR/MDR) solutions. Advanced skills in C programming, with proficiency in Rust and Python for cross-platform agent work. Familiarity with Tauri/React (front-end awareness, not a UI developer). Hands-on debugging with tracers, profilers, crash dumps, and system performance tools. Strong problem solver and constant learner with proven ability to ship modern, secure solutions. Additional Info Location: Dallas, TX U.S. Citizen or Green Card Holder only. Work split: ~30% kernel development, 40% Rust, 30% Python. Interview Process: Recruiter screen → technical deep dive (kernel/networking) → peer panel.

Must perform web services developer functions to plan, develop, test, and document computer programs, applying knowledge of programming techniques and computer systems. Evaluate the user requests for new or modified programs, analyzes and develops specifications to determine feasibility, cost and time required, compatibility with current system, and computer capabilities. Consults with users to identify current operating procedures and clarify program objectives. Formulates plans outlining steps required to develop program, using methodologies such as structured analysis and design or object-oriented development. Need to have eight or more years of experience; relies on experience and judgment to plan and accomplish goals; independently performs a variety of complicated tasks; and may lead and direct the work of others. Required: Analysis and development experience in complete software development life cycle, including designing, developing, testing, integrating and deploying applications. Experience in SQL programming and object-oriented (i.e., OOD) analysis and design. Experience with JAVA and J2EE technologies, and interactions with relational databases. Experience with Web Services, RAD, and WebSphere. Ability to create, read and understand Oracle-based stored procedures or a relational database application. Experience with system integration testing to apply knowledge of programming techniques and computer systems. Experience facilitating interpersonal interactions involving design, development, testing, peer reviews, and implementation activities including developers, business analysts, development and QA teams while ensuring that system requirements are documented Experience developing systems test plans, test scenarios, test processes and schedules. Experience designing and coordinating defect reporting and validating defect fixes. Understanding of data structures, data migration/conversion/transformation and concepts of both relational and multi-dimensional database design. Evaluates user requests for new or modified program analyzing and developing specifications to determine feasibility, cost and time required, compatibility with current system, and computer capabilities. Consults with user to identify current operating procedures and clarify program objectives. Formulates plan outlining steps required to develop program, using methodologies such as structured analysis and design or object-oriented development.

Our client, a well-funded and successful Series B Health tech startup is searching for a Senior/Lead Software Engineer to help them build a brand new service line to add to their existing product. This is an incredibly impactful role with the chance to build a product from 0-1, & also help connect patients with life-saving clinical trials and programs! This is a hybrid role near Bryant Park in NYC - please take this into consideration when applying. They do have a dog friendly office & unlimited PTO! Responsibilities: Create a brand new software product using Node, Typescript & React Lead the entire build from design to deployment - working with a small team of developers Hands on code, as well as lead code reviews & translate requirements into roadmaps and deliverables Collaborate with GM, Director of Product and engineering team Qualifications: 6+ years of Full-stack engineering experience in Typescript, Node, & React or Next.js Experience building products from 0-1 in small teams This is a hands on coding role - some engineering leadership is great, but this person will not be a "people manager" High agency worker who thrives in autonomous environments - must be comfortable owning and managing technical roadmaps Experience designing and scaling microservices architectures in AWS, GCP, Azure Experience in Health tech is a huge plus - especially familiarity with EHR integrations Compensation for this role ranges from $190-220k + potential bonus/equity. If you are interested, please apply! This opportunity unfortunately cannot sponsor visas at this time.

Join Sky Solutions, LLC - Pioneering Digital Transformation Excellence! Sky Solutions is a trusted partner in government contracting, empowering federal agencies with cutting-edge IT solutions. Our expertise spans AI-first enablement, delivering innovative solutions and advanced cybersecurity, fortifying digital ecosystems against emerging threats and digital transformation through low-code/no-code development, cloud solutions, and agile methodologies. We simplify complex processes and deliver breakthrough results for federal clients across healthcare, financial services, and national security. Title: Data Product Developer - Cloud Data Platform Location: Tysons Corner, VA (Hybrid) Employment Type: Full-Time US Citizenship/Green card is contractually required. Overview We are seeking a Data Product Developer to design, build, and maintain curated datasets that will power enterprise analytics and reporting. This role will work closely with Data Engineers, Analysts, and business stakeholders to deliver high-quality, scalable data products aligned with enterprise standards and modern data architectures. Responsibilities: Translate business requirements into scalable, cloud-ready data product specifications. Design curated datasets using SQL, dbt, and cloud-native tools. Define metadata, lineage, and semantic layers for enterprise use. Collaborate with Data Engineers to optimize pipeline performance and structure. Create reusable transformation frameworks and standardized data models. Implement data validation rules and quality checks. Partner with analysts to ensure usability and accessibility of data products. Support performance tuning, monitoring, and optimization of curated datasets. Required Qualifications Bachelor's degree in computer science, Data Analytics, or related field. 4+ years of experience developing curated data products or enterprise datasets. Strong SQL and data modelling skills (Kimball, Data Vault, or semantic modelling). Experience with dbt and cloud-based data warehouses (Snowflake preferred). Experience working with structured and semi-structured data (JSON, XML, Parquet). Strong understanding of metadata, lineage, and data quality frameworks. Preferred Qualifications Experience with AWS (S3, Glue, Lambda, Athena, Redshift, Step Functions). Experience with Precisely or equivalent data cataloging/data quality tools. Familiarity with enterprise data models such as UDM or EDM frameworks. Experience building data products for analytics, BI, or machine learning teams. Sky Solutions Benefits & Culture at a Glance Healthcare & Wellness Medical, dental, and vision coverage tailored to your needs. Supplemental options like life insurance, disability, HSA/FSA available. Time Off & Work-Life Balance Starting at 15 PTO days per year, increasing with tenure. Plus 11 paid holidays to recharge and spend time with loved ones. Professional Growth & Development Annual education stipend. Access to thousands of online courses. Formal mentorship programs for career advancement. Inclusive Culture "One Team” mentality focused on collaboration and belonging. Recognized as a Great Place to Work for six years straight. Evolving Benefits Based on Your Feedback Employee surveys shape enhancements - "at least two benefits improved or recommended each year.” Thanks Vema Sky Solutions LLC

Application architects/Software Developers are responsible for designing, developing and implementing applications for computer systems. They must direct the development process from conception to completion and oversee the efforts of all associated technical staff. Additional job details and special considerations Experienced Cloud Application Architect with a proven track record of designing and delivering enterprise-grade solutions. The ideal candidate will bring deep technical expertise and strategic vision to architect scalable, secure, and high-performance applications in a cloud-native environment. Key Qualifications: 10+ years of hands-on experience in Java EE development, with a strong grasp of its ecosystem, frameworks, and best practices. Demonstrated ability to design and evolve enterprise-level applications that meet rigorous performance and scalability requirements. Expertise in micro service architecture, including the design and implementation of distributed systems. Solid understanding of modern architectural principles, with practical experience applying the 12-Factor App methodology for building SaaS applications. Proficiency in Domain-Driven Design (DDD) to model complex business domains and facilitate clear communication between technical and business teams. Comprehensive knowledge of design patterns and their application in real-world scenarios. Role Responsibilities: Lead the architecture and design of cloud-native applications, ensuring alignment with business objectives and technical standards. Work on development of the application while implementing best practices for scalability, reliability, and maintainability. Collaborate with stakeholders to translate business requirements into robust technical solutions. Required Strong experience with Java EE, Spring Boot, and microservices frameworks. Hands-on experience with cloud platforms (AWS or Google) and containerization technologies (Docker, Kubernetes). Proficiency in API design and integration (REST, GraphQL). Solid understanding of CI/CD pipelines, DevOps practices, and infrastructure as code (Terraform, Ansible). Knowledge of security best practices for cloud-native applications. Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MongoDB). Experience with event-driven architectures and messaging systems (Kafka, RabbitMQ). Exposure to serverless computing and cloud-native services. Experience with Domain-Driven Design (DDD) for modeling complex business domains. Preferred Knowledge of observability tools (Prometheus, Grafana, ELK stack). Familiarity with performance tuning and high-availability strategies. Understanding of cost optimization in cloud environments. Healthcare industry experience preferred Fundamental understanding of the Information Management principles, IT processes, SDLC, architecture and technologies adopted by an organization. Consulting and Facilitation Skills. Customer-focused ability to communicate across all levels of the organization. Proactive Leadership style; self-starter and strong attention to detail. Certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Professional Cloud Architect.