דרושים » חשמל ואלקטרוניקה » Senior Software Engineer, CPU Performance Modeling Engineer

Requirements:
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
5 years of experience in post-silicon validation, with power and performance characterization.
Experience validating multi-core CPU/GPU/APU architectures.
Experience in programming languages such as C, C++, and Python for scripting and automation.
Experience with lab equipment such as oscilloscopes, logic analyzers, power meters, and thermal chambers.
Experience with SoC architecture, including interconnects, memory hierarchy, cache coherency, and power management concepts.

Preferred qualifications:
Experience with embedded systems programming (e.g., bare-metal, RTOS, kernel, driver programming).
Experience with version control systems (e.g., Git).
Excellent debugging and root-causing skills for hardware/software issues.
Excellent analytical, problem-solving, and communication skills.

Requirements:
What we need to see:

M.S. (or equivalent experience) or PHD in Computer Science, or related field with relevant performance engineering and HPC experience.

3+ yrs of experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM).

Experience conducting performance benchmarking and triage on large scale HPC clusters.

Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals).

Implement micro-benchmarks in C/C++, read and modify the code base when required.

Ability to debug performance issues across the entire HW/SW stack. Proficient in a scripting language, preferably Python.

Familiar with containers, cloud provisioning and scheduling tools (Kubernetes, SLURM, Ansible, Docker).

Adaptability and passion to learn new areas and tools. Flexibility to work and communicate effectively across different teams and timezones.

Ways to stand out from the crowd:

Practical experience with Infiniband/Ethernet networks in areas like RDMA, topologies, congestion control.

Experience debugging network issues in large scale deployments.

Familiarity with CUDA programming and/or GPUs.

Experience with Deep Learning Frameworks such PyTorch, TensorFlow.

Requirements:
Bachelor's degree in Computer Science, Electrical Engineering or equivalent practical experience.
8 years of experience in program management.
Experience in program management on technical cross-functional projects.
Experience in one or more areas like architecture, design, verification, implementation, or validation with seven or more cycles of chip development.
Experience in leading, developing and growing teams.

Preferred qualifications:
Master's degree or PhD in Engineering, or in a related technical field.
Experience as an engineer or manager in developing hardware or software systems around the chips.
Experience with two or more chip cycles in a project management role with execution within resource and schedule constraints.
Knowledge of data centers and cloud markets, technological and business trends, requirements, and ecosystem partners.
Ability to motivate and focus a large collaboration to reach goals.
Excellent communication and facilitation skills.

Requirements:
What we need to see:

Bachelor's degree in Computer Science/Engineering or equivalent experience.

5+ years developing software for embedded systems (C is required, Python).

Proven understanding of the system software stack, with a focus on software/hardware interaction, including platform firmware, device drivers, Linux kernel, and how user-space applications utilize system services to achieve high performance.

A deep knowledge of high-performance processor architecture including CPU and cache coherency concepts, as well as hardware accelerators.

Well-rounded engineering skills, including technical investigation, design, testing, and agile software engineering process.

Outstanding written and oral communication skills.

Must be proficient in the C programming language.

Experienced with build environment tools (gcc, git, github, make, bitbake, shell scripts, gerrit, jenkins, etc).

Ways to stand out from the crowd:

Background with ARMv8 microarchitecture, ATF and/or UEFI software is a strong plus.

Experience with multiple Linux distributions, with the ability to compare and contrast them.

Experience developing security key management solutions is very desirable.

Exposure to secure boot flows and/or trusted computing environments.

Requirements:
Bachelor's degree or equivalent practical experience.
8 years of experience architecting networking ASICs from specification to production.
Experience working with design networking like: RDMA and or packet processing and system design principles for low latency, high throughput, security, and reliability.
Experience developing RTL for ASIC subsystems.
Experience in cross-functional, micro-architecture, design, verification, logic synthesis, and timing closure.

Preferred qualifications:
Experience in Transmission Control Protocol (TCP), IP, Ethernet, PCIE and Dynamic Random-Access Memory (DRAM), Network on Chip (NoC) principles and protocols.
Experience working with software teams optimizing the hardware/software interface.
Experience architecting networking switches, end points, and hardware offloads.
Experience in a procedural programming language (e.g. C++, Python, Go.).
Experience in estimating performance by analysis, modeling, and network simulation. Ability to define and drive performance test plans.
Understanding of packet classification, processing, queueing, scheduling, switching, routing, traffic conditioning, and telemetry.

Requirements:
What we need to see:

B.Sc degree or equivalent experience in Computer Science, Computer Engineering, or Electrical Engineering.

5+ years of relevant overall professional experience.

Proficient knowledge of C++, Python.

Experience with Embedded SW development.

Strong analytical, creative, debugging, and problem-solving skills.

Detail-oriented and comfortable with multitasking in a dynamic environment with shifting priorities and changing requirements.

An excellent teammate with good interpersonal skills.


Ways to stand out from the crowd:

Knowledge of network protocols.

Background with CI methodology & tools (Git, Gerrit, Jenkins etc.).

Background in Linux internals.

Requirements:
B.Sc in Computer Science, Electrical Engineering, or a related field.
5+ years of hands-on experience in C++ development.
Strong understanding of performance optimization techniques in resource-constrained systems.
Proficiency in user-space application development on Linux.
Excellent problem-solving skills and a commitment to high-quality code.
Strong interpersonal skills, team-oriented mindset, and fluent English.
Advantages
Familiarity with runtime libraries and low-level system programming.
Python scripting on Linux.
Experience in open-source projects.
Experience with CMake.
Background in AI accelerators or hardware-software integration.

Requirements:
What We Need to See:

Bachelors/masters degree in computer science or computer engineering, or equivalent experience

5+ years of experience in software testing, QA automation, or software engineering.

Strong proficiency in Python and scripting for automation.

Solid experience with Linux-based environments, including system tools and command-line utilities.

Proven understanding of computer networking and modern Linux operating systems.

Familiarity with software testing, integration, and system validation practices.

Excellent problem-solving, critical thinking, and communication skills.

Ability to work independently, manage multiple tasks, and drive technical initiatives.

Great interpersonal skills, agility, and determination for success.

Fluent English; strong presentation and public speaking abilities.

Ways to Stand Out from the Crowd:

Deep technical know-how and familiarity with networking protocols or low-level system tools.

Experience with Docker, KVM, or other virtualization technologies.

Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI) and test reporting tools (e.g., Allure, Grafana, Kibana).

Experience with large HW+SW systems and advanced Linux OS technologies.

Proficiency with GIT, Bash, and other scripting languages.

Requirements:
Required Skills & Qualifications
Experience: 5+ years of professional software development experience.
Programming Languages: Proficiency in one or more languages such as C#, JavaScript/TypeScript, or Go.
Frameworks & Technologies: Experience with frameworks such as .NET Core & React.
Databases: Strong understanding of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases.
Microservices & APIs: Strong experience in building RESTful APIs and microservices architectures.
Data Lakes & Warehouses (Advantage): Experience working with one of the leading vendors for big data processing, analytics, and storage.
Cloud Platforms (Advantage): Experience with AWS, Azure, or Google Cloud Platform (GCP).
Security & Compliance (Advantage): Understanding of secure coding practices and data protection regulations.
Testing (Advantage): Experience with unit testing, integration testing, and automated testing frameworks.
CI/CD & DevOps (Advantage): Experience with Docker, Kubernetes, Gitlab, or other CI/CD tools.
Education (Advantage): Bachelors or Masters degree in Computer Science, Software Engineering, or relevant army training.
Preferred Skills & Qualifications
Experience working with one of the leading Data Lake & Warehouse vendors for big data processing, analytics, and storage.
Experience with any of the leading cloud platforms AWS, Azure, or Google Cloud Platform (GCP).
Understanding of secure coding practices and data protection regulations.
Experience with unit testing, integration testing, and automated testing frameworks.
Experience with Docker, Kubernetes, Gitlab, or other CI/CD tools.
Experience in distributed systems, event-driven architecture, or message queues (Kafka, RabbitMQ).
Knowledge of front-end development (React, Vue.js, or Angular).
Bachelors or Masters degree in Computer Science, Software Engineering, or relevant army training.
Contributions to open-source projects or personal coding projects.
Familiarity with observability and monitoring tools like Prometheus, Grafana, or Datadog.
Soft Skills
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Ability to work in a fast-paced, Agile development environment.
Passion for continuous learning and staying updated with industry trends.
Additional Skills:
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX).

Requirements:
What we need to see:

B.S./M.S. degree in CS/CE or equivalent experience with 5+ years of relevant experience. Experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM).

Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design.

Experience working with engineering or academic research community supporting HPC or AI.

Practical experience with high performance networking: Infiniband/RoCE/Ethernet networks, RDMA, topologies, congestion control.

Expert in Linux fundamentals and a scripting language, preferably Python.

Familiar with containers, cloud provisioning and scheduling tools (Docker, Docker Swarm, Kubernetes, SLURM, Ansible).

Adaptability and passion to learn new areas and tools.

Flexibility to work and communicate effectively across different teams and timezones.

Ways to stand out from the crowd:

Experience conducting performance benchmarking and developing infrastructure on HPC clusters. Prior system administration experience, esp for large clusters. Experience debugging network configuration issues in large scale deployments.

Familiarity with CUDA programming and/or GPUs. Good understanding of Machine Learning concepts and experience with Deep Learning Frameworks such PyTorch, TensorFlow.

Deep understanding of technology and passionate about what you do.