דרושים » תוכנה » senior software engineer, SOC dpu platform

we are looking for a versatile software engineer to join our dpu platform team. this is an opportunity to make a significant impact in a technology-driven company that powers the worlds most advanced data centers. you will use your expertise in low-level Embedded Linux software and boot flows to work with global development teams, solving the complex challenges involved in delivering high-power computing platforms.
what you'll be doing:
designing and developing low-level system software with a primary focus on bootloaders (atf, uefi), firmware, and hardware initialization
working together with hardware and design teams to drive SOC bring-up and platform enablement
solving complex challenges related to boot sequences, system optimization, and hardware resource management
supporting various internal and customer dpu projects alongside our global teams
taking part in all stages of the product lifecycle, with a focus on high software quality and stability
collaborating within a global software environment to have a broad impact across the company

seeking a dynamic and highly motivated Software Senior Manager to lead our BlueField DPU Platform software team. We are looking for a candidate who can excel in a sophisticated, multidisciplinary environment, take ownership, and drive high-quality software development including low-level device initialization, Linux OS drivers and kernel configuration, boards bring-up and system management. This position offers the opportunity to have a real impact on sophisticated, groundbreaking products, delivered by us and developed by our customers, empowering the most advanced data centers in the world. We believe our most valuable asset is our people and seek the very best to lead our outstanding team. This role requires close collaboration with teams across various fields (SW, HW, QA) to elevate our product to the next level.

What you will be doing:

Mentor and expand your engineering team in the planning and execution of initiatives and projects with top quality and timely results.

Coordinate feature design and implementation as well issue resolution, as this is a technical leadership role.

Interact with internal and external partners to understand their use cases and requirements. Collaborate with engineering teams, program and product management across the product roadmap.

Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are implementing in the most efficient and open manner.

Develop a team of engineers who understand the bigger picture, value collaboration, and can take ownership of and implement designs from beginning to end.

Be familiar with the open-source community process to advance industry-standard programming models and platform support while upstreaming and maintaining software into standard software distributions.

we have been transforming computer graphics, pc gaming, and accelerated computing for more than 25 years. it's an outstanding legacy of innovation that's fueled by great technology-and outstanding people. today, were 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 whats never been done before takes vision, innovation, and the worlds best talent.  youll be immersed in a diverse, encouraging environment where everyone is motivated to do their best work. come join the team and see how you can make a lasting impact on the world.
we are seeking a network security research architect who is interested in a chance to define, research, and implement next-generation security features for data centers networks. the position will take on a lead role, working with teams with varied strengths across and with external partners to research security requirements for networking products.
what you'll be doing:
lead, research, design, develop, and implement solutions for securing networks and identifying threats and incidents in the network.
apply innovative security primitives to enable secure platforms.
collaborate across external and internal hardware and software research teams.
architectural modeling, validation, microarchitectural definition, following standards bodies, and developing proof-of-concepts secure platforms.
research network telemetry for supporting secure networking platforms confidentiality, integrity, and availability.

We are looking for a creative and experienced Senior Firmware Engineer to join our PCIe Firmware team-someone passionate about using artificial intelligence to engineer the foundational hardware of the AI revolution.

As an integral part of our team, you'll architect and implement the core of our next-generation devices. This senior role places you at the center of innovation, where you will have a direct impact on our business and technology by solving sophisticated technical challenges. Its a unique opportunity to shape our technology and empower customers to build the supercomputers and AI fabrics of tomorrow.

What You'll Be Doing:

Lead the architectural design, development, and optimization of cutting-edge PCIe firmware, using AI-driven modeling and insights to deliver exceptional performance.

Serve as a trusted technical expert by investigating, debugging, and resolving challenging PCIe firmware issues for our most important customers.

Collaborate closely with our Chip Design, Verification, Software, and Architecture engineers to find root causes and develop robust, long-term solutions.

Champion the integration of AI-assisted diagnostics and generative AI tools across the entire development lifecycle to boost team productivity and innovation.

Translate customer needs and field data into actionable feedback that directly shapes the future of our products.

our company is the central engine of the global ai revolution, providing the essential high-performance computing infrastructure that powers nearly every major ai and generative ai model today.
we are rapidly growing into various verticals as stated above and looking to grow our team with a Developer relations leader. this role is a key member of the company team that would manage our technical engagements in leading industries such as general ai/ml applications development, consumer internet, ai on Embedded systems and others; and to evangelize our portfolio of technologies and accelerate its adoption among developers. have strong technical competence and the ability to be a leader who can function effectively and independently in a matrixed environment to groom and guide developers.
what you will be doing:
your main responsibility will be developing a technical strategy to assure gpu and our platforms' adoption for the selected industries focusing on priorities. you will need to establish relationships and influence the technical leaders and technical communities, specifically developers, startups and isvs within these industries. you will evangelize and develop our leadership position in this market by accelerating the availability of gpu-accelerated ai and data science applications in the specified market by helping developers understand the value of our hardware products and sdks in addressing critical development opportunities. lead participation in targeted customer and industry Developer events and activities. chair technical activities spanning product divisions and sales geographies, particularly with solution architects, software developers and engineering resources, Developer marketing contribute towards our local ecosystem strategy and development of our value messaging for your customers. be the key advisor to how we are differentiated. you will become a company technology mentor and focal point for the software Developer community.

our company has been transforming computer graphics, pc gaming, and accelerated computing for more than 25 years. it's an outstanding legacy of innovation that's fueled by great technology-and outstanding people. today, were 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 whats never been done before takes vision, innovation, and the worlds best talent. as a worker, youll be immersed in a diverse, encouraging environment where everyone is motivated to do their best work. come join the team and see how you can make a lasting impact on the world.
we are seeking an experienced malware research architect who can design and implement advanced malware detection systems using virtual machine introspection (vmi) techniques. the ideal candidate should have deep expertise in developing out-of-vm security solutions that can detect and analyze sophisticated malware, rootkits, and other cyber threats by introspecting and reconstructing volatile memory states of guest operating systems and file system states. strong knowledge of file systems, and hypervisor technologies is essential. the candidate will craft automated malware detection systems that use vmi and file system techniques to predict early signs of malware execution and accurately classify unknown threats.
what you'll be doing:
lead, research, design, develop and implement solutions for next-generation secure networks.
develop novel introspection, memory forensics, and file system methods to extract critical security events towards threat detection.
collaborate with external and internal hardware and software research teams to apply extracted events for advanced malware detection.
architectural modeling, validation, microarchitectural definition, and developing proof-of-concepts secure platforms.

we are seeking a highly motivated high-performance system architect to join our team of experts and help shape the future of high-performance and ml / ai computing. our next-generation nvl systems will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in ai research to high-performance clusters used at almost every industry today, such as car and pharmaceutical. as a high-performance system architect at nvidia, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.
what youll be doing:
define the nvl system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).
research of various solutions to enable the next large-scale-high-performance computing clusters. the position spans over various layers from algorithms, software, firmware, and hw.
developing models for simulations and performance testing, analysing the results and development of future hw and sw.
collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

seeking a dynamic and highly motivated senior Software manager to lead our software verification and automation for doca networking sdk. we are looking for a candidate who can excel in a sophisticated, multidisciplinary environment, take ownership, and drive high-quality verification and automation processes. this position offers the opportunity to have a real impact on sophisticated, groundbreaking products, delivered by nvidia and developed by our customers, empowering the most advanced data centers in the world. this role requires close collaboration with teams across various fields (sw, hw, QA ) to elevate our product to the next level.
what you'll be doing:
lead teams of software Verification engineers, providing technical direction, career development, and performance mentorship
define and continuously refine our software testing methodology and processes
engage in a hands-on approach, actively participating in the design, coding, and debugging of verification tests and infrastructure alongside your team
lead the verification process, ensuring the functionality, stability, and performance of our doca networking sdk and the solutions on top of it
work closely with internal and external customers to understand system use cases
analyze coverage measures to identify verification gaps and provide data -driven insights into product development and release readiness

Are you a tech-savvy problem solver with a passion for embedded systems? We are looking for a Senior Embedded Engineer to lead the design and optimization of next-generation software for advanced networking solutions. This position offers more than just a coding job, its an opportunity to lead projects, tackle significant challenges, and make an impact in a fast-paced, agile environment.
What You'll Do:
System Architecture & Design:
Define, design, and oversee system architecture for embedded systems, including Linux internals and bootloaders.
Ensure systems meet performance, reliability, and scalability requirements for cutting-edge applications on routers.
Development & Optimization:
Develop, debug, and optimize embedded C software and kernel modules.
Architect and refine software for networking technologies, ensuring low latency and secure performance.
Drive code quality through hands-on coding, code reviews, and adherence to industry best practices.
Project Management:
Oversee the full development cycle, from concept through deployment, managing timelines, milestones, and resources.
Collaborate with cross-functional teams, including hardware, firmware, and network engineers, to align product goals and technical roadmaps.

Help build an Always-On, low-overhead GPU profiling service that runs in production, scales across cluster environments, and delivers actionable insights for ML workloads. You will be hands-on delivering our profiling solutions across system software, drivers, and CUDA to make profiling continuously available and reliable.

What youll be doing:

Develop low-overhead, high-reliability implementations in C/C++, with bounded CPU/memory budgets.

Lead end-to-end feature delivery spanning user-mode components, driver/platform layers, and performance counter/trace providers.

Establish profiling models that integrate with existing ML/AI workflows (e.g., PyTorch/XLA) to turn low-level signals into actionable insights.