דרושים » תוכנה » Senior Software Architect, advanced development

Requirements:
What we need to see:

B.Sc. in Computer Science, Electrical Engineering, Computer Engineering, or a related field.

5+ overall years of industry experience in system programming or related fields.

Understanding of multi core hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers, real-time

Excellent programming skills.

Ability to learn complex concepts in a fast pace environment.

A teammate with a can-do attitude, high energy and excellent interpersonal skills.

Ways to stand out from a crowd:

Familiarity with networking protocols.

Hands-on experience with CUDA programming and GPU acceleration.

Hands-on experience with LLM serving frameworks.

Experience with open-source projects (coursework, personal, or contributions).

Working in a fast-paced and dynamic environment.

Requirements:
What We Need to See:

M.Sc. or equivalent experience in Electrical Engineering or Computer Science from a leading university.

7+ years of experience in the industry, specifically in HW/SW architecture groups.

Familiarity with networking concepts, terms, and Software stack.

Consistent record to quickly adapt to new technologies and investigate emerging areas.

Hand-on programming capabilities in Python, C/C++.

Passion for problem-solving and algorithms research and development.

Strong capability to work independently, collaborate with multi-functional teams, and guide R&D efforts.

Excellent communication and presentation skills.

Ways To Stand Out From The Crowd:

Experience with IEEE 1588 PTP, Synchronous Ethernet, GPS/GNSS, oscillators and clock control algorithms.

Experience in networking hardware and software architecture, ideally with relation to telecom and RAN networks.

Knowledgeable about O-RAN architecture.

An understanding of clocks and signal processing.

Requirements:
what we need to see:
2+ years of experience.
b.sc. in electrical engineering or computer engineering.
high motivation to learn and explore new fields.
proven problem-solving skills.
excellent interpersonal skills.
knowledge and understanding of compute and networking systems is an advantage.
passion and attention to detail in building with a high focus on building quality.
ways to stand out from the crowd:
passion and love for system architecture, including cpu/gpu/memory/ Storage /networking.
background with ai workloads.
background with networking.
experience in the development of simulation environments.
our company values diversity in employees. we are an equal opportunity employer, not discriminating in hiring or promotions based on various protected characteristics.

Requirements:
what we need to see:
hold a b.sc. or m.sc. in Computer Science, electrical or computer engineering from a leading university (or equivalent experience).
0-2 years of industry experience (or equivalent) in systems architecture or related fields.
knowledge in networking, operating systems, accelerator programming, and systems
track record of research excellence
good communications skills
 

Requirements:
What we need to see:
Bachelor's degree in Exact Science or higher, or equivalent experience.
5+ years of field experience as a hands-on Solution Engineer, Solution Architect, or Senior DevOps.
Experience with the design and implementation of complex data center solutions.
Vast experience with Linux, Kubernetes, Docker containers, and QEMU/KVM virtualization.
Understanding of Networking layers and services (L2/L3, TCP/IP, Firewalls, DNS, DHCP, etc.).

Ways to stand out from the crowd:
Experience with distributed systems and system analysis, with modern big data frameworks, and with AI / ML frameworks and use cases.
High level of personal responsibility and the ability to optimally prioritize and complete tasks in a fast-paced and frequently changing environment.
Excellent Hebrew/English interpersonal and written communication skills.
Fast ramp up, quick learning, high motivation, independent and effective troubleshooting and problem-solving skills.

Requirements:
what we need to see:
b.sc. or m.sc. in Computer Science, computer engineering, software engineering, or equivalent experience
5+ years of experience in performance analysis, systems engineering, or hpc/ai infrastructure
demonstrated expertise in performance analysis skills and methodologies
hands-on experience with high-performance networking (rdma, mpi, nccl, congestion control)
strong understanding of  system performance metrics (latency, throughput, resource utilization)
exposure to hardware, firmware, or Embedded telemetry environments
strong analytical, problem-solving, and communication skills
ability to work effectively in cross-functional, fast-paced r&d teams
ways to stand out from the crowd:
knowledge of cuda, nccl internals, and congestion control algorithms
deep system -level understanding of cpu architectures, gpus, hcas, memory, and pcie
experience with nvidia gpus, cuda, and deep learning frameworks such as pytorch or tensorflow
experience with cloud platforms 
proficiency in  Python ; experience with bash and C / C ++ is a plus as well as a strong experience working in  Linux environments

Requirements:
What We Need to See:

A degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent practical experience.

8+ years of significant professional experience in embedded firmware development, with a deep understanding of PCIe.

A strong foundation in computer architecture, operating systems, and object-oriented programming.

Proficiency in scripting languages like Python to automate tasks and workflows.

An innovative approach with a genuine desire to apply AI and machine learning to accelerate firmware development.

Ways to Stand Out from the Crowd:

Track record of applying AI-powered tools like Cursor to accelerate the development lifecycle.

Previous experience in a customer-facing or application engineering role.

Direct, hands-on experience with PCIe switch architecture and its firmware in high-performance applications.

Deep knowledge of hardware verification concepts and tools (e.g., C++, Python, Jenkins).

Extensive knowledge of networking protocols and the Linux operating system.

Requirements:
what we need to see:
b.sc. or m.sc. in Computer Science, electrical engineering, or related field
expert with software project management methodologies and tools
8+ years experience in software project management or leadership
experience in software development over hardware/silicon products
teammate, independent, responsible, capable of multi-tasking, ability to drive people and tasks
excellent verbal and written communication skills with english proficiency
ability and willingness to work in a dynamic environment and flexible hours, with teams all over the world 
ways to stand out from the crowd:
technical orientation, including the ability to conduct technical discussions
experience with tools such as ms excel, ms project, power BI
networking background
experience in multiple groups coordination
familiarity with sw agile concept
if you're creative and autonomous, we want to hear from you! nvidia is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. as we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements:
What we need to see:

B.A./B.Sc. in Computer Science, Electrical Engineering, or equivalent IT/Network/Systems experience.

5+ years of hands‑on networking or system‑level testing and debugging on Linux.

Strong Linux networking and debugging skills (for example perf, tcpdump, ethtool, iproute2).

Proven production‑grade debugging experience: forming hypotheses, running experiments, and driving issues to root cause under pressure.

Expertise in host‑side NIC validation and tuning (offloads, queues, interrupts, firmware/driver interactions).

Strong knowledge of AI networking libraries (such as NCCL) and protocols (such as RoCE and RDMA), including performance and correctness debugging.

Ability to read and reason about source code (C/C++/Python or similar) and collaborate closely with developers on fixes.

Solid scripting and automation skills with Bash / Python / Ansible for setup, log collection, and experiment orchestration.

Fast learner, familiar with modern AI tools and workflows, able to adapt quickly.

Excellent analytical, problem‑solving and communication skills, with strong ownership and a collaborative mindset.

Ways to stand out from the crowd:

Hands‑on debugging of collective communication libraries (for example NCCL) or large‑scale LLM training / inference clusters.

Experience with large cluster environments (tens to thousands of GPUs or nodes), including incident response and post‑mortem analysis.

Deep expertise in tuning and debugging congestion control and lossless Ethernet for AI workloads (for example DCQCN, ECN, PFC).

Familiarity with NVIDIA networking technologies (for example BlueField / BF3, ConnectX NICs) and their software stack and diagnostics.

Experience debugging issues that span multiple layers (L2/L3, transport, AI frameworks) or contributing to open‑source networking / AI systems.

Requirements:
What we need to see:

B.A./B.Sc. in Computer Science, Electrical Engineering, or equivalent IT/Network/Systems experience.

5+ years of hands‑on networking or system‑level testing and debugging on Linux.

Strong Linux networking and debugging skills (for example perf, tcpdump, ethtool, iproute2).

Proven production‑grade debugging experience: forming hypotheses, running experiments, and driving issues to root cause under pressure.

Expertise in host‑side NIC validation and tuning (offloads, queues, interrupts, firmware/driver interactions).

Strong knowledge of AI networking libraries (such as NCCL) and protocols (such as RoCE and RDMA), including performance and correctness debugging.

Ability to read and reason about source code (C/C++/Python or similar) and collaborate closely with developers on fixes.

Solid scripting and automation skills with Bash / Python / Ansible for setup, log collection, and experiment orchestration.

Fast learner, familiar with modern AI tools and workflows, able to adapt quickly.

Excellent analytical, problem‑solving and communication skills, with strong ownership and a collaborative mindset.

Ways to stand out from the crowd:

Hands‑on debugging of collective communication libraries (for example NCCL) or large‑scale LLM training / inference clusters.

Experience with large cluster environments (tens to thousands of GPUs or nodes), including incident response and post‑mortem analysis.

Deep expertise in tuning and debugging congestion control and lossless Ethernet for AI workloads (for example DCQCN, ECN, PFC).

Familiarity with our networking technologies (for example BlueField / BF3, ConnectX NICs) and their software stack and diagnostics.

Experience debugging issues that span multiple layers (L2/L3, transport, AI frameworks) or contributing to open‑source networking / AI systems.