לוח משרות דרושים מהנדס תוכנה בכיר, לחיפוש זה נמצאו 223 משרות

Requirements:
Basic Qualifications
- Experience as a mentor, tech lead or leading an engineering team.
- Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
- Experience in professional, non-internship software development.
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design.
- Experience in development in the last 3 years.

Preferred Qualifications
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
- Bachelor's degree in computer science or equivalent.

Requirements:
7+ years of experience developing and operating large-scale, high-availability systems.

7+ years of experience with Python (Experience with Go is a plus).

Experience working with cloud environments (AWS preferred) and big data technologies (Spark, Airflow, S3, Snowflake, EMR).

Familiarity with metrics systems (e.g., Prometheus, cloud monitoring APIs) or time-series data - a strong plus.

Autodidact, self-motivated team player with strong communication skills and a passion for solving challenges at scale.

Requirements:
You are passionate about bringing impact through code
You have a get-things-done attitude
At least 5 years of extensive software engineering experience, preferably across a variety of technologies
BSc in Computer Science or equivalent practical experience
A team player with amazing verbal and written communication skills
Passionate about product and impacting people

Requirements:
B.Sc. or higher in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field
8+ years of experience in systems software, distributed computing, or AI infrastructure, with 3+ years in a leadership or team lead role
Deep expertise in large-scale communication systems: collective communication, RDMA, network topology-aware routing, and bandwidth optimization
Hands-on experience building software infrastructure for distributed training on custom accelerators or heterogeneous hardware (GPU, NPU, TPU)
Strong knowledge of runtime systems: scheduling, execution graphs, kernel dispatch, synchronization primitives, and pipeline management
Experience with memory management at scale: activation checkpointing, tensor offloading, rematerialization, KV cache management
Proficiency in C/C++ and Python, with a focus on high-performance, production-quality code in Linux environments
Proven ability to define technical vision, lead multi-person projects end-to-end, and deliver results under research and engineering timelines
Excellent communication skills in English - confident presenting to international audiences, writing technical reports, and driving cross-team alignment
Strong collaborative mindset and experience working in globally distributed, multicultural teams
Ways to Stand Out From the Crowd
M.Sc. or Ph.D. in a relevant field, with a strong publication record at systems or ML venues (EuroSys, OSDI, SC, NeurIPS, MLSys, ISCA)
Hands-on experience with communication frameworks such as NCCL, MPI, HCCL, or UCX
Experience with compiler and graph optimization for AI workloads (XLA, TVM, Triton, or custom operator fusion)
Background in mixed-precision training, model parallelism (Tensor Parallelism, Pipeline Parallelism, Expert Parallelism), and large model co-design
Experience profiling and debugging performance bottlenecks on heterogeneous clusters using tools like Chrome tracing, nsight, or custom profilers

Requirements:
Bachelor degree or higher in Computer Engineering / Computer Science or equivalent
5+ years of experience in software development in Linux environment
5+ years of experience in storage / memory tiering / caching or prefetching domains
5+ years of hands-on experience in Linux kernel development / hacking / research
Proficiency in C / C++ programming language
Proven experience in Linux kernel memory management sub-system
Working in Linux kernel open-source environment
Deep system understanding and capability to enhance existing code
Open-minded team player with a can-do attitude
Fast learner, highly organized and detail-oriented, able to work on multiple deadlines in a fast-paced atmosphere
Ways to stand out from the crowd:
M.Sc. or Ph.D. degree with expertise in fields related to OS and virtualization technology
Papers and/or proven innovation in virtualization, storage/memory tiering or caching domains
2+ years of experience in optimizing applications performance
Proficiency in additional low-level programming languages
Proficiency in high-level programming languages: Python
Familiarity with Agentic-AI workloads, their characteristics and bottlenecks

Requirements:
B.Sc. degree in software engineering, computer science, or a related field.
5+ years of experience in C/C++ programming with a focus on performance-critical, distributed, or resource-constrained systems.
Proficiency in writing AI kernels for GPUs such as GEMM and FlashAttention, and in low level software/firmware implementations
Good understanding of HW/SW interfaces, memory management, SIMD/vectorization
Excellent communication and teamwork skills
Strong problem-solving skills and the ability to analyze and debug complex issues.
Experience with ML accelerators and AI compilers - a plus.

Requirements:
What we need to see:

B.Sc. degree or equivalent experience in Computer Science / Software Engineering.

5+ years of experience.

Proficient knowledge and experience in C/C++.

Strong design, coding, analytical, debugging and problem-solving skills.

Full ownership & end-to-end responsibility.

Excellent social and written communication skills.


Ways To Stand Out From The Crowd:

Can do attitude, independency and agility.

Ability to quickly adapt to new technology and go deep into new areas.

Understanding of Networking Protocols - Ethernet, InfiniBand is an advantage.

Knowledge of Virtualization, especially with KVM/QEMU is an advantage.

Knowledge of Linux/Windows kernel and drivers development is an advantage.

Requirements:
5+ years of hands-on programming in Python, Node.js, or Go (you know one well, and youre comfortable picking up the others).
3+ years working with AWS, Kubernetes, and RDS (you know your way around cloud-native deployments, scaling, and persistence).
B.Sc. in Computer Science / Engineering or equivalent experience from a technological army unit.
Proven experience leading major projects: youve owned significant codebases or systems, taken them from design to delivery, and driven them into production.
Fullstack mindset: youre comfortable crossing infra/devops/backend/frontend boundaries; you look at problems end-to-end.

Requirements:
5+ years of server-side development experience with Java and Spring Boot. Experience with TypeScript and Go is a plus.
Proven ability to take ownership of large projects from requirements gathering through to production deployment.
Excellent skills in technical writing and documentation.
Experience with both NoSQL and relational databases. Familiarity with MySQL, PostgreSQL, Redis and MongoDB is preferred.
Experience developing microservices in a cloud environment.
Proficiency with build tools, such as Gradle, Maven.
Proficiency with CI tools, such as Jenkins, GitHub Actions.
Experience with Kubernetes and Helm.
Bachelors degree in Computer Science from a recognized university.

Requirements:
At least 5 years of experience with C++ programming for Windows
Experienced with development of kernel drivers on Windows - significant advantage
Capable and courageous to deep dive into complex areas in the system, analyze them, suggest solutions, and build solution
Proactive, highly motivated individual with a high work ethic and goal-oriented approach
Excellent design and analytical skills, problem solver / extended troubleshooting capabilities
Eager to own and maintain code at the highest quality and security level, including UT and automation tests
Experience with CI/CD tools (Jenkins/Git/Artifactory)
BSc in computer-science/engineering/ Elite unit alumni
Team player
How will you stand out from the crowd:
Experience with Windows Internals
Reverse engineering experience
Experienced in the cyber industry and in development of Security Products for Windows
Experience with Kernel Mode development or debugging
Ability to analyze and interpret crash dumps (e.g., WinDbg, KD)
Familiarity with Reverse Engineering techniques and tools (e.g., IDA Pro, Ghidra)
Understanding of Security principles (e.g., secure coding, exploitation techniques, mitigations, WASP / Encryption / Authentication)
Experience with Driver development or interaction with low-level system components
Awareness of Malware analysis or threat detection techniques.

Requirements:
Your Experience:
Bachelor's degree with 15 years of experience, or Master's degree with 12 years of experience, or PhD with 8 years of experience.
Extensive experience in software engineering, with a focus on building and deploying production-grade systems.
Proven experience with cloud platforms, particularly AWS services.
Strong programming skills in languages such as Python.
Hands-on experience with machine learning, deep learning, and Large Language Models (LLMs).
Experience with the full software development lifecycle (design, development, testing, deployment, maintenance).
Preferred Qualifications
Experience building agentic AI systems or multi-agent workflows.
Contributions to open-source projects in the AI/ML space.
Experience with MLOps principles and tools for model deployment and monitoring.
Familiarity with cybersecurity concepts and secure software development practices.
Published research in relevant AI/ML fields.

Requirements:
8+ years of experience in backend software engineering.
Deep proficiency in modern backend languages.
Extensive experience with Kubernetes (K8s) and microservices architecture.
Deep understanding of both SQL and NoSQL databases, including complex data modeling and performance optimization for massive datasets.
Expertise in scaling high-availability environments while championing a culture of engineering excellence and continuous operational improvement.
Experience leading technical projects or mentoring high-performing teams.
A track record of taking full ownership of production systems and solving high-stakes engineering bottlenecks.
B.Sc. in Computer Science, Software Engineering, or equivalent practical experience (e.g., alumni of elite technological military units).
Preferred Qualifications
Experience in high-scale SaaS or cybersecurity environments.
Deep proficiency in Go or Python.
Practical experience with GCP (Google Cloud Platform).

Requirements:
At least 5 years of experience with C++ programming for Windows
Experienced with development of kernel drivers on Windows - significant advantage.
Capable and courageous to deep dive into complex areas in the system, analyse them, suggest solutions, and build solution
Proactive, highly motivated individual with a high work ethic and goal-oriented approach
Excellent design and analytical skills, problem solver / extended troubleshooting capabilities
Eager to own and maintain code at the highest quality and security level, including UT and automation tests.
Experience with CI/CD tools (Jenkins/Git/Artifactory)
BSc in computer-science/engineering/ Elite unit alumni
Team player
How will you stand out from the crowd:
Experience with Windows Internals
Reverse engineering experience
Experienced in the cyber industry and in development of Security Products for Windows
Experience with Kernel Mode development or debugging
Ability to analyze and interpret crash dumps (e.g., WinDbg, KD)
Familiarity with Reverse Engineering techniques and tools (e.g., IDA Pro, Ghidra)
Understanding of Security principles (e.g., secure coding, exploitation techniques, mitigations, WASP / Encryption / Authentication)
Experience with Driver development or interaction with low-level system components
Awareness of Malware analysis or threat detection techniques.

Requirements:
Your Experience
10+ years of software engineering experience using Python, Go, Node.js, Ruby, Java, or C#.
Strong, hands-on proficiency in JavaScript, TypeScript, and MongoDB.
2-3+ years of experience building enterprise-scale applications in cloud/SaaS ecosystems (AWS preferred).
2+ years of experience managing on-premise environments.
Proven capability to leverage modern AI tools to lead, design, and accelerate end-to-end feature delivery.
A solid and practical understanding of software security and networking fundamentals.

Requirements:
Bachelors degree in Computer Science, Software Engineering, or related field (or elite military tech unit alumni).
5+ years of hands-on software development experience, with strong coding skills in Python (or similar modern language).
Proven experience building and shipping production-grade SaaS or cloud-native services.
Familiarity with AWS cloud services, especially Lambda, Step Functions, DynamoDB, and related serverless components.
Strong system design and problem-solving skills.
Team player with excellent communication skills and a proactive mindset.
Preferred Qualifications:
Frontend development experience with React, PrimeReact, or TypeScript.
Experience with database development (Aurora RDS, DynamoDB).
Understanding of microservices and event-driven architecture.
Knowledge of secrets management, identity, or cloud security domains.
Background in enterprise-scale, high-availability, or regulated environments.
Experience with infrastructure-as-code tools such as AWS CDK or Terraform.