דרושים » תוכנה » Senior Software Engineer - Python, Spectrum-X

Requirements:
What we need to see:
B.Sc. degree or equivalent experience in Engineering/Computer Science/related field
5+ years of experience as a Software Engineer
Intrinsically motivated with a desire for automation programming
Programming skills in Python
Strong technical abilities, problem-solving skills, coding, and design skills
Ways to stand out from the crowd:
Linux knowledge: have a general understanding of Linux operation system concepts
Strong communication and interpersonal skills, with the ability to motivate and inspire others.
Knowledge in one or more Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols
Prior software testing experience, with an understanding of Software Testing Tools and Methodologies, and python expertise.

Requirements:
What we need to see:
Bachelor's Degree in Computer Science, Engineering, or a related field; or equivalent experience
5+ years of experience
Knowledge of HPC and AI solution technologies from CPUs and GPUs to high speed interconnects and supporting software
Experience with job scheduling workloads and orchestration tools such as Slurm, K8s
Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalls, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc.
Experience with multiple storage solutions such as Lustre, GPFS, zfs and xfs. Familiarity with newer and emerging storage technologies.
Python programming and bash scripting experience, automation and configuration management tools such as Jenkins, Ansible, Gitops
Knowledge of Networking Protocols like InfiniBand, Ethernet
Experience with virtual systems (for example VMware, Hyper-V, KVM)
Familiarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud)
Ways to stand out from the crowd:
Knowledge of CPU and/or GPU architecture
Knowledge of Kubernetes, container related microservice technologies
Experience with GPU-focused hardware/software (DGX, Cuda)
Background with RDMA (InfiniBand or RoCE) fabrics.

Requirements:
What We Need To See
B.Sc. in Computer Science or Electrical/Computer Engineering
8+ years of relevant proven experience (or 5+ years and a relevant M.Sc.)
Proficiency in modern C++ (C++14/17/20) - templates, RAII, concurrency, move semantics, the standard library, the works
Proficiency in Python - idiomatic, performant, well-tested, with a strong sense of what is appropriate for C++ and what suits Python
Strong software design instincts and a real care for code quality: APIs, modularity, testability, clean abstractions, performance, the long tail of maintainability
Experience working on Linux as a development platform - CMake, Git, debuggers, profilers, sanitizers
Experience with optimizing Algorithmic code with different methods such as Multi-Threading/Multi-Processing, SIMD, C++, C, etc
Ways To Stand Out From The Crowd
Familiarity with video compression / codecs (NVENC, NVDEC, FFmpeg, GStreamer, x264/x265, AV1, VVC)
CUDA or GPU programming experience
Experience embedding Python in C++ (pybind11, nanobind) or building Python extensions
Extensive mileage with C++/Python Algorithmic Frameworks such as OpenCV, Numpy, SciPy, CuPy, matplotlib, TensorFlow, PyTorch, etc.

Requirements:
5+ years of profound software development experience in .NET.
Multiyear experience with developing in ReactJS/Typescript/Javascript.
Multiyear experience with MongoDB (or other NoSQL databases).
Extensive experience with developing cloud services.
Experience working in and succeeding as agile development team.
Experience with DevOps pipelines.
Strong attention to detail and the ability to translate business requirements into product solutions.
You have a good overview of current trends in frontend/backend development.
Be comfortable with change: we are building very new products and we are continuously evaluating if we are on track with customers and internal stakeholders. Sometimes we will need to pivot and get back to the drawing board.
Get your hands dirty attitude: you are not afraid to pick up a new technology/library/pattern and get productive with it quickly if that is needed for the task at hand.
Proven experience in producing high-quality code and implementing engineering best practices
If youve got some of these skills, even better
Experience with Cloud Operations (monitoring, observability, logging, ).
Experience with NodeJS.
Experience with developing on Docker and Kubernetes
Additional information
You will have the opportunity to work with the industrys most advanced testing technologies and help customers shift into the new testing realities of the digital world.
You will have the opportunity to work in a growing organization, with ever-growing opportunities for personal growth.
You will have plenty of opportunities to contribute elsewhere (e.g. build DevOps pipelines, create company products around frameworks to better monetize and provide services to our product).

Requirements:
BSc in Computer Science / Software Engineering or equivalent
4+ years of professional software development experience
Demonstrable daily use of AI coding assistants (Copilot, Claude Code)
Integrate AI APIs and tooling (LLMs, agents, retrieval systems) into product features and internal tooling
Strong hands-on experience in Java / Type Script
Experience working with cloud platforms (AWS \ Azure)
Strong understanding of software design principles and distributed systems
Excellent debugging and problem-solving skills
Experience working in Agile development environments
Fluent English (written and spoken)
You will have an advantage if you also have:
Experience designing microservices architectures
Contributions to open-source projects or technical publications
Experience solving complex, high-scale engineering challenges.

Requirements:
Must Have:
Strong Python expertise (5+ years) with experience in async programming and FastAPI
Frontend experience (4+ years) with React/TypeScript
3+ years of experience designing, deploying, and operating language model-based solutions in production.
Hands-on experience with AI/LLM integrations (OpenAI, Anthropic, or similar)
Experience building or working with AI agents, agentic workflows, or AI-assisted development tools (e.g., Cursor, GitHub Copilot, Claude Code, similar agent frameworks)
Experience with MCP (Model Context Protocol) or A2A protocols
Solid understanding of API design, authentication patterns, and multi-tenant architectures
Track record of leading technical initiatives and mentoring engineers
Strong testing discipline (unit, integration, E2E)
Great communication skills, both written and verbally.

Requirements:
B.Sc or M.Sc in Computer Science, or related field, or equivalent experience.
12+ years of proven experience building and deploying production software, data products, internal tools, or engineering productivity platforms and 2+ years of experience building AI-enabled or agentic systems, including tools & skills, RAG pipelines, persistent memory, and evaluation infrastructure.
Hands-on development experience with Python, full-stack software development, SQL and NoSQL databases, cloud environments, and internal tool development.
Extensive experience utilizing coding agents for development.
A proactive, high-agency builder who deciphers complex domains to deliver pragmatic, production-grade AI and data solutions that drive measurable engineering productivity.An adaptable expert who masters the intersection of software engineering and agentic AI, taking full ownership of the lifecycle from messy data debugging to cross-functional leadership.
Excellent collaboration skills, with the ability to influence cross-functional partners, build positive relationships, and communicate complex concepts clearly to both technical and business audiences.
Demonstrated commitment to continuous learning and development.
Ways to stand out from the crowd
Background in product engineering, hardware engineering, networking, semiconductors, or complex engineering organizations
Evidence of meaningful open-source contributions, including core commits, maintainership, widely adopted libraries, or public technical artifacts demonstrating system-level depth.

Requirements:
Bachelors degree in science/IT/Computing or equivalent.
5+ years' experience as a software engineer/developer.
Proficient in Python and experience in various LLM and GenAI libraries (e.g., Lang Chain , Lang Graph).
Proficient with container management tools like Kubernetes, Docker & CI/CD pipeline practices.
Experience in software development methodologies (e.g., Agile or Scrum).