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Requirements:
Senior FullStack Engineer (6098) Responsibilities:
Own features E2E: scope, design, implement, TEST, ship, and support in production.
Design and build backend services in C #/.NET, JAVA, and/or Node.js, including APIs, integrations, and data flows.
Deliver production React front;end features (at least ~30% of the role).
Build cloudnative systems: microservices running in containers (Docker), interservice communication, and horizontal scaling.
Create wellreasoned architectures: from monolith to microservices decomposition to cloud architecture decisions that balance reliability, performance, and cost.
Lead migrations across languages/frameworks when needed, including refactors and strangler patterns.
Instrument and operate services with observability (logs, metrics, traces), debugging in distributed environments, and a focus on resilience and performance.
Collaborate in Agile with Product, Design, and peers: break work into tasks, estimate, demo, and iterate (Scrum ceremonies).
Use AI in development (required): leverage in IDE tools (e.g., Copilot, Cursor, AI agents) for code generation, refactoring, tests, and architectural scaffolding to accelerate delivery and quality.
Contribute to code reviews, testing strategy, CI/CD, and engineering best practices. Requirements:
5+ years of backend software engineering in C #/ Node.js / JAVA
Proven cloudproduct experience: microservices, containers, interservice communication, auto;scaling, and operating in production.
React experience delivering frontend features (~30% of your work).
Strong grasp of cloud architecture, Docker, scaling, observability, and debugging distributed systems.
Practical understanding of monolith vs. microservices, when to apply each, and how to migrate.
AI dev tools experience
Agile mindset: requirements discovery, task breakdown, estimation, and iterative delivery; confident partnering with Product.
Excellent communication, a positive, collaborative vibe, and the ability to influence and drive outcomes. 

Requirements:
What we need to see:

Practical / BSc in Computer Science or Electrical Engineer.

2+ years of proven experience in QA.

Scripting skills and proven experience in Python.

Clear verbal and written communication, proficient written and spoken English.

Independent worker, able to plan and shine in area of responsibility.

Standout colleague with good communication, desire to lead.


Ways to stand out from the crowd:

Knowledge / experience in Networking.

Familiarity with ITU-T standards and synchronization protocols, such as SyncE and PTP or equivalent experience.

Proven experience in QA - methodologies, test design.

Requirements:
What We Need to See:

Bachelors, Masters, or PhD in Computer Science, Electrical Engineering, or equivalent experience.

8+ years of experience building large-scale distributed systems or performance-critical software.

Deep understanding of deep learning systems, GPU acceleration, and AI model execution flows and/or high performance networking.

Solid software engineering skills in C++ and/or Python, preferably demonstrate strong familiarity with CUDA or similar platforms.

Strong system-level thinking across memory, networking, scheduling, and compute orchestration.

Excellent communication skills and ability to collaborate across diverse technical domains.

Ways to Stand Out from the Crowd:

Experience working on LLM - training or inference pipelines, transformer model optimization, or model-parallel deployments.

Demonstrated success in profiling and optimizing performance bottlenecks across the LLM training or inference stack.

AI Accelerators and distributed communication patterns, congestion control and/or load balancing.

Proven optimization process for complex systems, deployed at scale to make impact.

Passion for solving tough technical problems and finding high-impact solutions.

Requirements:
What we need to see:

B.Sc. in Electrical Engineering.

4+ years of relevant experience in product engineering, failure analysis/debug, or HW/test design.

Proven hands-on experience in HW debugging.

Strong problem-solving abilities with a diligent approach.

Outstanding interpersonal and communication skills in English.

Ability to thrive in a collaborative and dynamic environment.


Ways to stand out from the crowd:

Background with test design and HW lab equipment.

Experience with data/yield analysis.

Experience with JMP and/or other data analysis tools.

Experience working with a manufacturing environment.

Basic programming knowledge (C, Perl, Python) in Linux environment.

Requirements:
What we need to see:

B.SC./ M.SC. in Electrical Engineering.

You should have at least 5+ years of hands-on layout experience, demonstrating your proven expertise.

A strong background in Physical Verification methodology, including ERC, LVS and DRC, is necessary.

In-depth knowledge of advanced silicon process technologies.

Familiarity with physical build EDA tools, including Synopsys and Cadence.

A great teammate who thrives in a collaborative environment.

AI tools orientation or alternatively a desire to learn.

Ways to stand out from the crowd:

Experience in Linux environments.

TCL, Python, shell scripting abilities.

Experience with data collection and analysis.

Understanding of the chip and die verification process.