דרושים » תוכנה » Junior Tools Developer

Requirements:
Requirements
* At least 2 years of relevant experience in automation testing.
* Academic background in Computer Science, Software/Electronics Engineering, or equivalent.
* Strong analytical and logical thinking skills.
* Experience in designing and executing test plans at multiple testing levels.
* Ability to read and analyze system requirements and write matching test cases.
* Good interpersonal and communication skills, with the ability to work across multiple teams.
* Self-motivated, with a strong ability to learn and adapt independently.
* Proficiency in English (reading and writing) – mandatory Advantages
* Experience in Real-Time (RT) system testing environments.
* Familiarity with Linux-based systems or scripting languages (e.g., Python, Bash).
* Exposure to hardware/software integration testing.

Requirements:
BASIC QUALIFICATIONS:
- B.Sc. in Electric Engineering/Computer Science.
- 5+ years experience in software development and system integration, with demonstrated expertise in hardware-firmware integration.
- 5+ years experience in technical project leadership, including risk management, cross-team collaboration, and full product development lifecycle.
- Experience with Operating Systems, boot flows, networking protocols, and remote debugging capabilities.
- Proven track record in developing and implementing manufacturing test flows and system validation processes.

PREFERRED QUALIFICATIONS:
- Server design or integration experience in leading industrial company.
- Strong expertise with Linux-based Operating Systems and kernel development
- Advanced scripting skills in Bash/Python/lua.
- Deep knowledge of server architecture and system design principles.
- Experience with board design/electrical validation and ability to read/review schematics and layout.
- 5+ years experience in Compute/Embedded system (ARM, x86, AMD) with HW/SW/SoC development and/or integration.
- Experience with manufacturing test development and production line integration.

Requirements:
BASIC QUALIFICATIONS:
- Bachelors/Masters degree in Computer Science, Electrical Engineering, or related disciplines.
- 3-5 years of experience.
- Knowledge of SW and programming languages and concepts (OOP, OOD, data structures).
- Knowledge of computer architecture (CPUs, networking, protocols).
- Good understanding of hardware and software interaction.
- Excellent problem-solving skills.

PREFERRED QUALIFICATIONS:
- Experience in modeling language such as systemC.
- Experience with Virtual Platforms tools.
- Verification experience is a big advantage.
- Knowledge of ARM architecture.

Requirements:
BS/MS in Computer Science or equivalent hands-on experience
7+ years in software engineering; 3+ years in a tech lead or staff/principal engineering role
Expertise in both backend and frontend engineering, with strong skills in React, TypeScript, Node.js, and Python
Proven experience architecting scalable cloud-based systems and big-data applications using AWS services, including Lambda, API Gateway, CloudFront, S3, and DynamoDB
Ability to balance legacy system maintenance with forward-looking architectural design
Strong collaboration and communication skills, with the ability to influence across teams
Experience in Implementing software engineering best practices for the entire SDLC (including business analysis and implementation, design and architecture, planning and development, implementation, and support)
Preferred Qualifications:

Experience working with Martech platforms, CDPs, and customer engagement systems
Experience with personalization, experimentation, and campaign orchestration systems
Familiarity with LLM integrations (e.g., Claude, Bedrock, OpenAI) and building internal AI tools
Understanding of observability stacks (e.g., CloudWatch, Datadog), security (e.g., WAF), and compliance in marketing systems
Strong documentation practices and a bias toward action and clarity

Requirements:
BSc or MSc in Computer Science, Software Engineering, Data Science, or a related field.
3+ years of experience as a Data Scientist or ML Engineer.
Hands-on expertise with machine learning techniques: regression, classification, clustering, time series
Deep interest and foundational knowledge, including hands-on experience with:
Transfer learning & fine-tuning adapting large pre-trained models (like GPT, LLaMA, Mistral) to domain-specific tasks.
LLMs, Prompt Engineering, and Chain-of-thought (CoT) prompting
Designing MCP APIs, Agent,s and Multi-Agent Orchestration
Vector databases (RAG) and GraphRAG-based solutions
Models for Content Moderation
Familiarity with MLOps & LLMOps practices automating model training, testing, deployment, monitoring, and governance.
Strong proficiency in Python (or other relevant programming languages).
Excellent written and verbal communication skills in English.

Requirements:
Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
3+ years of experience in large-scale product development and maintenance of production systems
2+ years of hands-on experience with DevOps automation and CI/CD systems
3+ years of professional experience developing in C and C++
Other Requirements:
Ability to meet our company, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: 
our company Cloud Background Check: This position will be required to pass the company's Cloud Background Check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
Bachelor's Degree in Computer Science
OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript,
OR Python
OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
1+ years experience with operating systems internals
Familiarity with scrum tracking tools such as JIRA or Azure DevOps.
Understanding TCP/IP and other networking concepts.
Experience in one or more of the following: Linux and Windows networking stacks and other OS components; Reliable, high availability software development; Host network offloads; RDMA, SR-IOV; Virtualization (hypervisors, virtual machine switching); TCP/IP; Switching and routing protocols; Network hardware - NICs, switches, routers; Load balancing; Network virtualization (NVGRE, VXLAN); QoS and scheduling; Networking at scale, deployment and servicing at scale; Cloud networking architectures; Performance optimization of low-level code.

Requirements:
BS/MS in Computer Science or related field, or equivalent hands-on experience
7+ years of backend development experience; 3+ years leading engineering teams
Expertise in Python (or equivalent: Node.js, Java) and asynchronous backend development
Strong experience with AWS services, including Lambda, API Gateway, S3, CloudFront, DynamoDB
Proven experience designing event-driven systems using Kafka, SQS, or SNS
Familiarity with big data tooling such as Databricks, Spark, and Delta Lake
Experience with RESTful APIs, microservices, and scalable service architecture
Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders
Preferred Qualifications:

Familiarity with CDPs (e.g., ActionIQ, Segment), marketing tools (Braze, Attentive), and analytics platforms (Adobe, GA4)
Experience in growth tech, experimentation platforms, or campaign targeting
Experience working in privacy-aware environments (GDPR/CCPA), including consent management and user data retention
Experience with observability tools like CloudWatch, New Relic, or Datadog
Passion for marketing automation, customer engagement systems, and scalable backend design

Requirements:
Proven experience as a Solution Architect or in a similar role, with a
strong focus on DevOps.
Deep understanding of DevOps principles, practices, and tools.
Expertise in cloud technologies (AWS, Azure, GCP) and containerization
platforms (Docker, Kubernetes).
Strong knowledge of configuration management tools (Ansible, Chef,
Puppet) and CI/CD tools (Jenkins, GitLab CI/CD, CircleCI).
Experience with scripting languages (Bash, Python) and infrastructure
as code tools (Terraform, CloudFormation).
Excellent communication and collaboration skills, with the ability to
work effectively with both technical and non-technical stakeholders.
Strong problem-solving and analytical skills
Bachelors degree in Computer Science, Engineering, or a related field.

Requirements:
Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.
OR
Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience.
OR
PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
Qualifications:
Bachelor's degree in Electrical Engineering, Computer/Electric Engineering, Computer Science, a related field, or equivalent practical experience.
3 years of experience with computer architecture concepts, SoC, including microarchitecture, cache hierarchy, pipelining, and memory subsystems.
Experience with System Architecture or GPU Workload Analysis and Optimization (advantage)
A strong background in ARM, GPU, CPU, DSP or ASIP architecture
Knowledge of micro architectural specification and implementation
Performance analysis of HW/SW systems
Ability to combine micro-architecture knowledge and performance bottleneck analysis on relevant workloads to conceive novel ideas
Hands-on VLSI aspects, micro arch, synthesis, power
Familiar with Python, Matlab (advantage)
Preferred Background:
Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
Professional Experience: Several years of experience in embedded systems, SoC and networking

Requirements:
3+ years building backend services, with experience in ML frameworks (e.g., TensorFlow, PyTorch, ML.NET). While building SaaS applications, preferably in a service-oriented architecture
Hands‑on expertise with MLOps tooling (e.g., MLflow, Kubeflow, TorchServe, KFServing).
Familiarity with cloud‑native ML offerings (AWS SageMaker, GCP AI Platform, Azure ML).
Bachelors Degree in Computer Science, Software Engineering, or equivalent.
Experience in writing optimized SQL and working against various different datastores.
Demonstrated success with scalable web applications or messaging systems
Experience with web security is a plus.
Experience fine‑tuning LLMs or large models using parameter‑efficient methods (LoRA, adapters) is a plus.
LLM fine‑tuning experience (HuggingFace, OpenAI, etc.) is a plus.
Expertise in modern web development frameworks, C#, Java, or equivalent is a plus.