Embedded Wifi/network Driver Developer jobs in Israel

What you’ll be doing:

• Design and develop user-spaceapplications responsiblefor simulation large scale InfiniBand networks of thousands of network devices

• Improve performance and optimize algorithms for using the simulator in Docker and cloud setups

• Collaborate with multiple teams in our multi-functional environment on developing new

What we need to see:

• B.Sc. in Computer Science or Software Engineering or equivalent experience

• 4+ years of experience as Software Engineer, including experience with C/C++

• Self and quick learning abilities

Ways to stand out from the crowd:

• Proficient knowledge in C/C++

• Excellent social and written communication skills

• Knowledge of network topologies design and routing algorithms

What you will be doing:

• Develop a technical strategy to ensure Nvidia platforms adoption for selected industries, focusing on your priority industries and use cases

• Establish relationships with technical leaders in organizations and communities, specifically developers, startups and ISVs within the industries.

• Evangelize and develop our leadership position 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 NVIDIA technology mentor and focal point for the software developer community.

What we need to see:

• Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent experience. Master's or Ph.D’s is preferred. Intellectual curiosity and passion for innovation.

• Experience in several verticals/industries with good knowledge and trends in the industry.

• Expertise in CUDA programming, GPU platforms and Deep Learning and Machine Learning frameworks.

• You will show a deep understanding of who and how to engage the developer’s product and engineering organizations with at least 8 years related experience.

• 5+ years’ experience in an AI and ML software development environment or working with developers in these areas; and at least 3 years’ experience in business development activities.

• Able to work independently and possess excellent communication skills to drive customer and internal engagements.

• Demonstrate ability to influence, evangelize and persuade at both operational and executive level (including engineering/ product management) to achieve a targeted outcome.

• Execute and accelerate strategic decisions

• Ability to effectively deliver value propositions for specific and targeted industries.

• Ensure a positive experience for external customers and partners while working cross functionally within our organization.

Ways to stand out from the crowd:

• Experience working on AI Deep Learning and Machine Learning Applications, AI Model Training/Inferencing and other GPU related technologies and application domain.

• Strong technical understanding of Data Analytics, Generative AI, Embedded System/Jetson.

• Experience in network communication protocol is an added advantage.

• Strong analytical, problem solving, and negotiation skills and the ability to use data analysis to support strategic decisions

• Excellent organizational, planning, and execution skills

What You’ll Be Doing

• Learn new networking features, plan their verification strategy, and implement it on top of a Python-based in-house developed environment.
• Design, develop, optimize, and maintain an OS/Kernel verification testing platform.
• Collaborate with team members, architects, design, QA teams, and customers (both external and internal).
• Innovate! We are always looking for new ways to make NVIDIA's Networking driver products shine in customers' eyes.

What We Need To See

• B.S. degree or equivalent experience in Engineering/Computer Science/related field.
• +1 years of relevant experience
• Strong technical abilities, problem-solving, design, coding, and debugging skills.
• Ability to lead feature development, take full ownership of tasks from A-Z and deliver independently with minimum supervision.
• Great teammate with strong interpersonal skills.

Ways To Stand Out Of The Crowd

• Proven experience in Python programming.
• Knowledge in Networking protocols and Linux kernel.
• Experience in software verification or validation.
  

What You'll Be Doing

• Experimental Root Cause Analysis: Design and build targeted experiments from the ground up to replicate complex hardware behaviors observed in AI data centers. You will then analyze the results to hunt down the root cause of these behaviors, whether in silicon, firmware, or software.

• Hands-On Lab Investigation: Spend your time in the lab, working directly with the most advanced networking ASICs and systems to profile performance and characterize behavior under stress.

• Test Automation and Development: Write and debug advanced automation scripts (Python) to programmatically control traffic generators (e.g., IXIA) and manipulate the test environment to expose corner-case issues.

• Lab Environment Management: Maintain and support our lab environment, including equipment setup and racking, procurement, inventory, and coordinating maintenance and upgrades to support ongoing investigations .

What We Need to See

• B.S.c in Engineering/Computer Science or equivalent experience with a strong foundation in hardware-software interaction

• 5+ years of deep hands-on lab experience focused on hardware validation, testing, and performance-tuning.

• Strong proficiency in Python for test automation, hardware diagnostics, and data analysis.

• Familiarity with basic networking concepts (Ethernet, Routing) and large-scale network design.

• Proven ability to collaborate effectively with multi-functional teams, including hardware, software, and architecture groups.

• Curiosity and a problem-solving approach, driven to understand how things work at the fundamental level.

Ways to Stand Out From the Crowd

• Expertise in Ethernet protocols, L2/L3 routing, and large-scale data center network topologies.

• Proficient in scripting tools for traffic generation (e.g., IXIA, Spirent) to compose intricate traffic scenarios, rather than simply running pre-existing scripts.

• Expertise in validating and stress-testing network systems at the component level (e.g., NICs, Switches), with a focus on hardware diagnostics beyond standard protocol testing.

• Familiarity with the unique network architectures and operational challenges of large-scale AI, HPC, or hyperscale data center environments (e.g., RDMA/RoCE, congestion control, high-radix fabrics).

• Hands-on experience in configuring and managing datacenter network equipment.