דרושים Senior Network Software Engineer ב-אמזון ב-Israel, Haifa District, Haifa

Annapurna Labs is looking for a Senior Security Engineer to help ensure that our hardware platforms, software deliverables, and devices are secured against the latest threats.
You will be responsible for the security assurance of our products. Influencing and scrutinizing design and implementation. Develop elaborate threat models, suggest and review solutions and mitigations. You will lead vulnerability research, penetration testing, automated penetration testing solutions and methodologies such as fuzzing, static analysis and other security checkers. You will mentor service teams in adding security testing tools and practices to their development processes.Key job responsibilities
Engineers in this role must show exemplary judgment in making technical trade-offs between short versus long term security and business goals. They must also demonstrate resilience and navigate difficult situations with composure and tact. A broad understanding of the AWS business and its interconnections is required. This position will also provide training, advice, and mentorship to other engineers throughout AWS.

- 5+ years of low-level systems security research and vulnerability testing experience
- Experience developing security tools (fuzzers, scanners, analysis frameworks)
- Security architecture design and threat modeling experience
- Proficiency in C and experience with Python
- Deep knowledge of security aspects of ARM/x86 processor architectures
- Strong understanding of hardware security (secure boot, cryptographic implementations, side-channel attacks)
- Knowledge of security protocols and cryptographic primitives
- Technical English proficiency

- Background in firmware reverse engineering and vulnerability research
- Experience with fuzzing frameworks (AFL++, libFuzzer, Syzkaller)
- Knowledge of virtualization security or hypervisor technologies
- Familiarity with AWS services
- Technical leadership, mentoring, and cross-functional collaboration
- Security publications (research, CVEs)
- CTF, bug bounty, or competitive security research background

Key job responsibilities
* Partner with laboratory science teams on design and analysis of experiments
* Originate and lead the development of new data collection workflows with cross-functional partners
* Develop and deploy scalable bioinformatics analysis and QC workflows
* Evaluate and incorporate novel bioinformatic approaches to solve critical business problems

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development

Key job responsibilities
As a Senior Network Software Engineer on SRD team, your primary role will be to develop and optimize the implementation of SRD technology across AWS's network infrastructure. Your responsibilities will encompass designing, deploying, and maintaining SRD code-base, ensuring its reliability and scalability to accommodate the demands of various applications. An essential part of your role will involve conducting extensive network simulations to evaluate system performance under different conditions, enabling you to identify potential bottlenecks and inefficiencies. Using these simulations, you will troubleshoot network issues and implement robust solutions, leading to minimal data loss and latency. Leveraging your in-depth understanding of network protocols and AWS infrastructure, you'll refine and improve the SRD system's performance. Furthermore, you will be expected to mentor junior team members, leading projects to advance the SRD capabilities within the AWS environment. Staying updated with the latest industry trends and incorporating them into strategic network service planning.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?Inclusive Team CultureMentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance

- Bachelor’s (or higher) Degree in Computer Science (CS), Electrical Engineering (EE) or related area.
- 8+ years of programming with at least one software programming language experience.

- Data-center Networking.
- Network related simulators.
- Large-scale distributed environments.
- Storage and/or Transport protocols.
- Real-Time development.

You'll work at the fascinating intersection of GenAI and cloud platform development, implementing automation solutions that directly enhance the productivity of our engineers. Unlike typical roles, you'll have the opportunity to influence both AI implementation and core architecture while collaborating with cloud technology experts.
The position offers rare exposure to latest cloud computing technology combined with the latest advances in artificial intelligence. You'll be part of a team that values technical excellence, working in an environment where your ideas can quickly transform from concept to reality.
In this role you will create solutions that directly shape the way we work. You'll develop smart automation systems, implement AI-driven tools and workflows and be part of AI transformation.Key job responsibilities
* Architect and deploy AI-powered solutions and AWS cloud services that transform development workflows
* Lead technical innovation by driving architectural decisions and GenAI technology adoption
* Champion AI transformation across engineering teams through education and hands-on implementation
* Partner with elite cloud teams to identify opportunities and deliver advanced solutions
* Ensure system excellence through participation in on-call rotations and reliability initiativesAbout the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWSWork/Life BalanceInclusive Team CultureMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 5+ years of hands-on software development experience
- High-level Python programming skills
- Solid foundation in AI/GenAI concepts and applications
- Mastery of software design patterns and engineering best practices
- Bachelor's degree in Computer Science or equivalent technical field
- Customer-focused mindset with strong communication skills
- Self-driven learner with exceptional ownership mentality
- Collaborative team player who thrives in fast-paced environments

- Production experience with AI/GenAI infrastructure (LLM pipelines, RAG systems, prompt engineering, AI agents, MCP)
- Hands-on expertise with GenAI development frameworks (Kiro, Cursor, Cline, etc.)
- Deep knowledge of AWS serverless and cloud infrastructure (Lambda, CDK, S3, SQS, etc.)
- AWS certifications (Practitioner, Developer, Solutions Architect) - valued but not required

Working for Annapurna Labs is thrilling, fast-paced, and a constant learning experience. As an ENA Drivers SW development engineer, you will be responsible for developing kernel-space and user-space network drivers, running on the customer’s virtual machines. You will develop features for Annapurna Labs next-generation hardware to enable high network bandwidth and packets-per-seconds (PPS) performance with consistently low latency. As an ENA Drivers SW development engineer, you will play a key role in shaping SW designs, keep-up with new features and enhancements provided by various operating systems, and help resolve complex customer issues. You will continuously evolve technically, while working to monitor AWS cloud health, maintain high-quality standards, develop highly-optimized code, and provide exceptional customer satisfaction.To learn more about Annapurna Labs and get a feel of our products, you are welcome to watch the following videos:
- AWS re:Invent 2022 - Keynote with Peter DeSantis
- AWS re:Invent 2022 - Leaping ahead: The power of cloud network innovation (Dave Brown)
- Working in SW development at AWSA day in the life
- Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.- Why AWS
- Work/Life Balance- Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- B.Sc. degree in Computer Science or Electrical Engineering
- 5+ years of professional experience in SW development
- 3+ years of network driver development
- Expertise in at least one of the following: Linux, Windows, DPDK, or FreeBSD network drivers development

Key job responsibilities- Drive practical constructability standards in design documentation
- Drive commissionability improvements in our designs.
- Drive process improvements in the hand off from design to construction/commissioning
- Optimise the engineering input post design completion - driving consistent roles and responsibilities and accountability.- Act as the initial point of escalation for complex constructability issues.
A day in the life
As a Constructability Engineer you will be involved in the entire process of a project, from site selection all the way through into operations. You will act as a conduit between Design Engineering and all other teams, providing a pragmatic and practical engineering-based support to both DE and associated teams. Delivery issues will be both presented to you by our own team and other associated teams, but you will also actively seek to recognize problems and develop solutions. Resolution of these issues will require a thorough understanding of the process of design and construction to enable a robust and manageable solution to be developed, always considering the best interests of the AWS business.About the team
• Why AWS• Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
• Work/Life Balance

- Bachelor’s degree in Mechanical/Electrical engineering (or similar) or a Construction related discipline
- 5+ years in Construction delivery
- 5+ years of data center technical knowledge coupled with commissioning experience

- 10+ years experience in data center engineering
- In depth understanding of critical data center mechanical and electrical equipment
- Be a motivated, highly dependable individual
- An ability and willingness to think outside of the box to find creative and innovative solutions to reduce costs with no impact on quality and reliability
- Possess excellent communication skills, attention to detail, maintain high quality standards

Working for Annapurna Labs is thrilling, fast-paced, and a constant learning experience.
About the team
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Electrical/Computer Science engineer
- 7+ years of experience with RTL verification and/or Post-Si Validation
- Verilog/SystemVerilog (for design)
- Experience with emulation platforms /FPGA

- Knowledge of Hardware verification concepts and tools (Simulation, Coverage Driven verification, Emulation Knowledge and understanding of CPU Arch, SoC, Fabric
- Experience in Embedded SW (Ansi-C, Linux drivers, FirmWare validation)