Software Engineer Data Infrastructure Jobs

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role We’re looking for a Forward Deployed Engineer to work on-site with our customers, serving as the primary technical presence in customer engagements, leading pilots and demos, and supporting customer evaluation and successful adoption. This role blends deep customer engagement with technical execution. This is a full-time, hybrid position based in Santa Clara. What you’ll do Lead customer-facing engagements, including discovery, pilots, and demos, acting as the primary technical voice in front of prospects and customers. Partner onsite with customers, engineers, recruiters, and business leaders to uncover developer needs, listen with empathy, and shape practical, goal-driven solutions. Keep customer projects on track through disciplined execution and proactive updates. Use the right tools, including AI when useful, to deliver faster, more reliable outcomes that strengthen HackerRank’s customer experience. Collaborate with Product, Engineering, and GTM teams to elevate the voice of the customer. Who you are A customer-facing technical lead with enough full-stack depth to configure, debug, and explain web applications, integrations, and generate API scripts as needed (Ruby or Python). Confid

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: We are looking for a Partner Solutions Engineer to join our partnerships team. This role will drive enablement and integration motions across Vercel's partner ecosystem: solution and consulting partners, strategic technology partners, and cloud alliances such as AWS. Partner Solutions Engineers work with partner engineering, sales, and product teams to grow adoption of Vercel's products and build strong technical relationships. Partner Solutions Engineers serve as technical collaborators and developer advocates for Vercel's strategic partners. You will work with Vercel's Partner Managers to design and deliver programs such as agentic workshops, discovery sessions, and technical enablement. You will also have the opportunity to work with Vercel's partners on building product integrations and accelerators, bringing them from 0 to 1 and using Vercel, Next.js, AI SDK, and Eve. Partner Solutions Engineers require a strong web development background, especially in frontend development, cloud infrastructure, agentic development, and modern application development. Strong coordination skills across multiple partners and time zones are essential, as is building lasting relationships with practice leads, delivery teams, and executives. What You Will Do: Serve as the main technical contact for Vercel's partners, building lasting relationships with their engineering teams and leadership across solution and consulting partners, technology partners, and cloud alliances. Build product integrations, proofs of concept, and reference applications th

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Working with avionics means working at the heart of the vehicle — the core that connects and enables every other subsystem. This role is inherently collaborative, bridging (GNC), software, mechanical, and thermal disciplines to create a unified platform with the required defense capabilities. Every function depends on a robust and compatible avionics architecture, where everything needs to be developed and extensively tested, making this position critical to the vehicle’s overall performance and mission success. It’s a uniquely challenging role that balances diverse technical demands focused on electronics & software, that integrates complex systems, and ensures every component works together seamlessly to deliver cutting-edge unmanned capabilities. Key Responsibilities Development and integration of Avionics systems Define and maintain functionality of avionics systems with vehicle, system iterations and updates Develop and manage high-level block diagrams to represent system functions and interfaces Collaborate closely with vehicle teams to define electrical and system requirements Design and provide technical support for Iron-birds, prototypes, and special projects Troubleshooting avionics systems in both hardware and software, and develo

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Join forces with us on our mission to build a better IT industry. We are currently looking for a highly skilled Android BSP Engineer to our team in Stockholm or Malmö, Sweden. Please note that applicants must live in Sweden and hold a valid work permit at the time of application to be considered for this role. Responsibilities: Bring up Android on new custom hardware, from initial kernel boot through a fully functioning Android system Develop and customize the Android platform and board support package Configure and maintain the Linux kernel, device tree, boot configuration, and Android device configuration Integrate the Android software stack with custom hardware Integrate, port, develop, and maintain drivers and interfaces for RFID readers, sensors, and other peripherals Develop and integrate Android HALs, native services, system services, and application-facing APIs Configure Android init services, device permissions, SELinux policies, and VINTF manifests Diagnose problems across the bootloader, kernel, drivers, HALs, Android framework, and applications Debug hardware and software integration issues using logs, traces, test equipment, and hardware-debugging tools Optimize boot time, system performance, stability, power consumption, and reliability Build, configure, flash, and maintain Android system images Support system valid

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for an outstanding Compiler Engineer to help build the next generation of intelligent compiler technologies for NVIDIA's accelerated computing stack. Our team works at the intersection of compilers, agentic systems, numerical correctness, and verification to create systems that can reason about, generate, optimize, and validate code transformations across software and hardware boundaries. This is an excellent opportunity for new graduates who are excited about coding agents, AI-assisted software engineering, developer tools, and GPU computing. In this role, you will work with experienced engineers and researchers to build agentic systems and compiler-aware tooling that improve developer productivity, code quality, and system performance across NVIDIA's software and hardware stack. What you'll be doing: Build and improve coding-agent systems for tasks such as code generation, transformation, debugging, optimization, validation, and developer assistance. Develop agent workflows involving tool use, planning, memory, execution, and feedback loops for software engineering and compiler-related tasks. Help create training, evaluation, and verification environments to improve agent quality, correctness, r

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across silicon, embedded systems, operating systems, and cloud services to build reliable consumer devices and the novel platforms required to support them. We partner closely with research to bring advanced AI capabilities into the physical world. About the Role As an Operating Systems Engineer focused on on-device inference, you will design, develop, and ship the OS stack that makes advanced AI capabilities reliable, responsive, and energy efficient on consumer devices. Your work will span OS services and frameworks, inference runtime integration, model fitting, scheduling, and performance and power management. You’ll partner with research to adapt models to device constraints, make design decisions across the stack, and carry solutions from early exploration through integration and production. In this role, you will: Build the inference platform: Design and implement maintainable OS services, frameworks, and clear interfaces for inference execution, model loading and lifecycle, and resource management. Fit models to device constraints: Partner with researchers on quantization, runtime integration, and memory optimization to meet memory, compute, and energy budgets while evaluating model quality and product behavior. Coordinate system resources: Develop scheduling and resource policies that balance inference with other device act

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across custom silicon, embedded systems, operating systems, and cloud services to build reliable consumer devices and the platforms behind them. We connect kernel development with the broader software stack to deliver complete product capabilities. About the Role As an Operating Systems Engineer focused on the Linux kernel, you will design, develop, and maintain the kernel capabilities that underpin OpenAI’s consumer devices. You’ll bring deep expertise in one or more Linux kernel subsystems and carry solutions through the higher-level software stack. Your ownership will extend into the userspace services, libraries, tools, and interfaces needed to deliver complete product features. You’ll shape the boundaries between kernel and userspace, make design decisions across the stack, and see your work through development, integration, and production. In this role, you will: Build kernel capabilities: Design, implement, and maintain Linux kernel subsystem changes that support device capabilities and product requirements. Own features across the stack: Choose appropriate kernel and userspace boundaries, and build the interfaces and supporting components needed to deliver reliable features in shipped products. Debug complex system behavior: Use tracing, profiling, instrumentation, and diagnostic tools to resolve correctness, concurrency, p

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across systems software and product engineering to build reliable consumer devices and the platforms behind them. We develop the connectivity and networking foundations that support communication across OpenAI products and systems. About the Role As an Operating Systems Engineer focused on connectivity and networking, you will design, develop, and maintain the OS capabilities that enable reliable, secure, and efficient communication across OpenAI products and systems. Your work will span Wi-Fi and Bluetooth frameworks, IP networking, and advanced network services and policy. You’ll develop OS services, libraries, and interfaces for a broad range of connectivity needs, make design decisions across software boundaries, and carry solutions through development, integration, and production. In this role, you will: Build connectivity foundations: Design, implement, and maintain OS services, frameworks, and APIs for Wi-Fi, Bluetooth, and IP networking. Develop reusable network capabilities: Build connection management, network configuration and selection, service discovery, and routing capabilities. Enable secure communication: Develop network services and policies for secure communication, traffic management, and isolation across varied network environments. Resolve issues across the stack: Investigate correctness, concurrency, interoper

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a TSE MOD Test Equipment Engineer at Micron Technology, Inc., we are looking for an active and innovative team member who is responsible for the development, improvement, and qualification of new and existing equipment, hardware, software, and processes. You will work closely with key representatives from Manufacturing, Test, Process, Equipment, and other cross-functional teams to specify, develop, optimize, integrate, and qualify manufacturing systems. You will provide direction and assistance, both locally and internationally, to enable new technologies, reduce overall cost, improve yield, reliability, safety, equipment efficiency, and utilization, while driving product quality and continuous improvement initiatives. You will be responsible for aligning and enhancing manufacturing capability and performance, implementing global business processes, and leveraging worldwide resources to effectively deploy Best Known Methods (BKM). In addition, candidates are expected to demonstrate AI proficiency and adopt AI-enabled ways of working, where applicable, to improve productivity, accelerate problem-solving, enhance decision-making, automate routine tasks, and drive operational excellence across engineering and manufacturing processes. A continuous learning mindset toward emerging AI technologies is highly desirable. Responsibilities Responsible for Test TOR (Tool of Records) equipment sites' support, evaluation, solving and installation Fan out Best Known Metho

Role Overview As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation. This internship is based on-site at our San Francisco HQ, running through the Winter term from January to April. Responsibilities Optimize and fine-tune GPU code to achieve better performance and scalability Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems Stay up-to-date with the latest advancements in GPU programming techniques and technologies Requirements Strong background in GPU programming and parallel computing, such as CUDA and/or Triton. Knowledge of ML/AI applications and models Knowledge of performance profiling and optimization tools for GPU programming Excellent problem-solving and analytical skills About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Internship Program Details:&n

Role Overview As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation. Responsibilities Optimize and fine-tune GPU code to achieve better performance and scalability Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems Stay up-to-date with the latest advancements in GPU programming techniques and technologies Requirements Strong background in GPU programming and parallel computing, such as CUDA and/or Triton. Knowledge of ML/AI applications and models Knowledge of performance profiling and optimization tools for GPU programming Excellent problem-solving and analytical skills About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Internship Program Details: Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading en

JOB TITLE Site Reliability Engineer A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO You will play a highly critical operational role where you will apply a combination of software and systems engineering skills to develop and maintain a complex set of distributed, real-time systems that serve critical stakeholders in Point72’s Global Macro business. You will focus on optimizing the operations of existing systems and infrastructure in an efficient manner, through a strict adherence to automation and tooling Specifically, you will: Build out foundational technical components of an extensive SRE program across multiple complex systems, both new and existing • Collaborate with our development and quant teams to ensure that ongoing change is consistent with a pre-determined, measurable set of SLOs spanning multiple complex user interactions with our systems • Monitor system capacity and performance, identifying and addressing potential future bottlenecks and sources of instability before they become impactful to our stakeholders • Review and provide feedback on automation code developed by peers to maintain high standards of code quality and efficiency • Troubleshoot and resolve system issues, analyzing their impact on infrastructure and service operations • Participate in or lead design reviews with peers and stakeholders, evaluating and selecting the best technologies and automation strategies for our needs WHAT’S REQUIRED We are looking for highly motivated, proactive en

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We build firmware that sits at the core of industry-leading SSD products, enabling the performance, reliability, and scalability our customers depend on every day. Our team works across hardware, silicon, systems, and software to solve complex storage challenges and shape the future of storage technology. If you enjoy solving difficult engineering problems and influencing technical direction, you'll find plenty of opportunities to make an impact here. This role is a key technical leadership position responsible for defining the architecture and long-term strategy for Common Services firmware across multiple SSD product generations. You will guide critical architectural decisions, collaborate with experts across subject areas, mentor engineers, and help drive the adoption of emerging technologies, including AI-assisted engineering practices. Your work will directly influence product quality, development efficiency, and future platform capabilities. Responsibilities Define and evolve Common Services firmware architecture and technical strategy across SSD products and storage platforms Lead the design of embedded firmware solutions, establish engineering standards, and drive architectural decisions that improve performance, scalability, and reliability Partner with hardware, silicon, software, and product teams to solve system-level challenges and optimize the storage stack Communicate architecture plans, technical risks, and technology recommendations to engineering and business partners<

About the Job: LaunchDarkly's Product Security team is hiring a Product Security Engineer II to strengthen how we secure the platform engineers build with every day. You'll bring depth in security fundamentals and program design as a member of a small, high-leverage team with strong engineering instincts. LaunchDarkly is critical infrastructure. Our security team keeps it safe for the global systems that depend on us. You'll spend most of your time on threat modeling and cloud security posture, with rotating exposure to the rest of the ProdSec surface area. Your work will help developers move fast without sacrificing security, through automation, guidance, and the kind of partnership that makes the secure path the easy one. You'll report to the Director of Security and work closely with software engineers, product managers, and other security engineers. We expect you to bring a sharp point of view on where AI can take work off the team's plate and make our coverage deeper. Responsibilities: Lead threat modeling engagements on the features and services where the risk warrants it. Partner with the ProdSec lead to evolve the practice from on-request to repeatable, with clear criteria for when an engagement is worth running. Own day-to-day triage of CNAPP findings end to end. Investigate, prioritize, route to service owners, and close the loop. Look for patterns that point to systemic fixes instead of one-off cleanup. Contribute to SDLC tooling, SAST / SCA workflows, and bug bounty triage as the team's work demands. Partner with product engineering teams as a trusted reviewer. Catch issues early, explain the why, propose paths forward. Say no when needed, with reasons and alternatives. Bring AI to the work. Use it to accelerate triage, summarize findings, draft threat models, scan code, and reduce toil. Help the team build durable patterns for safe and effective use, not one-off prompts. Push the security floor up over time through documentation, office hours, small too

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role As an Engineering Program Manager - Compliance on our Hardware team, you will lead certification efforts for Verkada’s newest safety & security products. Engineering Program Managers partner with our Hardware Engineers, Mechanical Engineers, Software Engineers, Product Managers, Supply Chain, and Legal to navigate the new product introduction process; you will own regulatory efforts from concept definition through to mass production & shipping across the globe. We are committed to a thriving in-office culture. This role requires that you be on-site at our office in San Mateo, CA 5 days a week. What You'll Do Lead certification efforts for our next generation of life safety & security products. Work directly with RF/EMC labs and NRTLs (TUV, UL, Intertek, etc) to test and certify our products to applicable standards.&