דרושים » הנדסה » software engineer, ai-native development

you will work at the intersection of Machine Learning and software engineering - selecting the right models, feedback strategies, and evaluation frameworks to make ai-generated code reliable, high-quality, and trustworthy.
what you'll be doing:
design and build ai-powered development pipelines - from code generation and automated review to feedback loops and evaluation systems.
evaluate and select ml approaches for specific problems: when to use llm prompting vs. fine-tuning (qlora), classical ml (random forest, linear regression) vs. reinforcement learning, rag vs. structured extraction.
architect feedback and evaluation systems that measure and improve ai output quality over time.
review and refine ai solution architectures - evaluate design decisions, identify weaknesses, propose alternatives with reasoning.
lead proof-of-concept development to validate new ai/ml approaches for development tooling.
collaborate with the core team to define risk-based development levels and calibrate ai review depth per level.

looking for a strong technical senior architect to join us in shaping the future. senior architects are innovators who can translate business needs into workable technology solutions. their expertise is deep and broad. they are hands on, producing both detailed technical work and high-level architectural designs.
as a senior architect in the ai networking research team, you will explore technological challenges on accelerate networking and building ai data centers. research new transport functions and semantics for optimizing ai workloads, ai systems communication and accelerations and much more. you will also be leading architectural and development efforts across numerous technological fields, related to the modern ai data center, such as distributed ai and deep learning solutions, data analytics, high performance computing (hpc), software defined networking (sdn), virtualization, Storage, and more.
what youll be doing:
co-design hardware features (e.g., in gpus, dpus, or interconnects) that accelerate data movement and enable new capabilities for inference and model serving. 
identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.
lead architecture and design of new technologies and innovations such as runtime systems, communication libraries, ai-specific technologies.
lead proof-of-concept development to evaluate and drive such technologies.

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.

We're looking for a Senior AI/MLOps Engineer to join a group that specializes in Security and Networking, and specifically ML, AI and agent development. As a Senior AI/MLOps Engineer, youll build and maintain the infrastructure, tools and processes necessary to support the AI lifecycle in a production environment. You will collaborate closely with data scientists, software engineers, security architects and DevOps teams to ensure smooth deployment, modeling and optimization of AI models. This role involves creative problem solving alongside engineering teams, and is pivotal for the continued success of AI networking security.

What youll be doing:

Developing, improving and optimizing scalable infrastructure for handling and deploying security and networking AI models and agents in production, ensuring high availability, scalability, reproducibility, and performance.

Optimizing AI models and agents for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.

Monitoring and deploying agentic systems, LLMs, and ML models in production.

Designing and implementing frameworks/pipelines for AI training, inference, and experimentation.

Collaborating closely with data scientists, security architects and software engineers to operationalize and deploy AI models and agents, including packaging and integration with existing systems. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

Collaborating with DevOps teams to integrate pipelines and workflows into the CI/CD process, ensuring flawless deployments and rollbacks.

Building and maintaining monitoring and alerting systems to proactively identify and resolve issues relating to quality, performance and infrastructure.

Implementing access controls, authentication mechanisms, and encryption standards for AI models and data.

Documenting guidelines, and standard operating procedures for MLOps/AI processes and sharing knowledge with the wider team.

Develop proof-of-concepts for new features.

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

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.

Required xEngineer (ai-native software engineer)
makes it possible for anyone to succeed online. since 2006, weve grown to around 5,500 employees in 22 countries, launched over 40 products, and serve over 243 million users and their visitors worldwide. here, we push you to innovate, evolve in non-traditional ways, and collaborate. we operate in small teams that work closely together at a high level.
although were already industry leaders in web creation and business, our work is nowhere near done. our goal is to become the main engine of the internet so we can create a more open web for all.
we're proud to be an equal opportunity employer. the company was built around the idea that everyone has the right to be successful, online. this same vision defines us as an employer: creating a work environment where everyone is welcome, and anyone has the right to succeed.
as an xEngineer, youll combine deep technical expertise with system -level thinking and product ownership, applying ai across the development lifecycle to build impactful systems, make thoughtful architectural decisions, and drive technical excellence from idea to production. in your day-to-day, you will:
design and own end-to-end systems and features that serve millions of users, taking responsibility across stack boundaries - from product flows and User Experience to apis, data models, and production systems
apply ai-powered tools and workflows across planning, design, implementation, testing, debugging, and refactoring
work with modern technologies and platforms (e.g., typescript, React, Node.js, JAVA, cloud, and ci/cd), continuously evolving your toolkit with ai-powered tools
lead architectural thinking by making thoughtful trade-offs around scalability, reliability, security, performance, and maintainability
collaborate closely with product managers, designers, and engineers to shape solutions while ensuring production quality, observability, and long-term system health
at the company, we believe our best work happens together. our work model is fully in person, with 5 days a week from our office. flexibility remains a core value at the company and special requests are handled thoughtfully at the team level.
we are engineering at the company - a team of ai-native xengineers with deep expertise in frontend, backend, or mobile, who use ai support to take ownership over projects end-to-end. we work in a fast-paced, dynamic development environment with autonomous teams that never compromise high quality standards. as ai increasingly generates production code, we dedicate more and more of our time developing the skills we believe are critical for today and tomorrow: system design, architecture, scalability, reliability, and security.

as a senior software engineer in the gpu networking architecture team, youll lead advanced development and poc efforts for ai infrastructure solutions. you'll be collaborating with experts across distributed ai, deep learning, networking os, virtualization, Storage, and more. come and join us for the cutting edge in gpu networking!
what youll be doing:
drive advanced development and pocs for ai infrastructure solutions in cutting-edge ai networks, integrating innovative software and hardware.
demonstrate team architectural concepts with larger nvidia ai software stacks.
work closely with various groups within nvidia to bring ai network technologies to reality, including gpu and switch hw and sw teams, product as well as fellow architects.

as a Senior Software Architect in the gpu networking architecture team, you will define software defined networking architectural solutions. you'll also be part of a team of specialists who span across numerous technological fields related to the modern data center, such as distributed ai and deep learning systems, networking operating systems, virtualization, Storage, and more.
what youll be doing:
define system and software architecture for software defined networking (sdn) of ground breaking emerging ai networks which involves innovative software and hardware.
be an active member in setting the use-cases and metrics for monitoring complex high-speed networks control-plane.
work closely with various groups within nvidia to bring ai network technologies to reality, including gpu and switch hw and sw teams, product as well as fellow architects.

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.