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Requirements:
Experience: 5+ years in Software Testing, with at least 3 years specifically as an Automation Engineer Coding Skills: Proficiency in JavaScript, TypeScript, or Python (Must). Experience in Java is a significant advantage. Tooling: Proven experience with modern frameworks like Playwright (preferred) or Cypress/Selenium API Testing: Deep expertise in Rest Assured for API-level validation. Infrastructure: Hands-on experience with Docker and AWS environments. Knowledge of Kubernetes (K8s) is a major plus. CI/CD: Practical experience working with GitHub Actions Soft Skills: A self-motivated, "extreme ownership" mindset. You are someone who identifies a bottleneck and fixes it without being asked.

Nice to Have Direct experience testing Cyber Security products.
* Strong background in QA methodologies and test planning for complex SaaS architectures.
* Experience setting up performance or security-specific automated checks.

Requirements:
* BSc Industrial Engineering & Management
* Proven experience of more than 2 years in an equivalent position.
* Experience with ERP and MES is advantage.
* Good English level written and verbal.

Requirements:
BSc in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
4+ years of backend engineering experience
2+ years of hands-on Node.js experience (TypeScript)
Experience with at least one NoSQL document store (e.g., MongoDB, Couchbase)
Experience designing and implementing RESTful APIs
Experience working with at least one cloud platform (AWS, GCP, or Azure)
Strong testing mindset and experience with automated testing frameworks
A proactive, curious, and problem-solving mindset with a strong sense of ownership
Fluent English (written & spoken)

Requirements:
BSc in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
6+ years of fullstack development experience
Experience building scalable, user-facing applications using modern libraries and frameworks
Experience with at least one NoSQL document store (e.g., MongoDB, Couchbase)
Experience designing and implementing RESTful APIs
Strong testing mindset and experience with automated testing frameworks
A proactive, curious, and problem-solving mindset with a strong sense of ownership
Fluent English (written & spoken)

Requirements:
What we need to see:

MS/PhD with expertise in Computer Science, Computer Engineering, Electrical Engineering or related field with a focus on Deep Learning or Machine Learning.

5+ years of experience in deep learning and machine learning in a production environment.

Excellent Python programming skills, strong software design fundamentals, and experience leveraging coding agents in development workflows.

Hands-on experience with deep learning development frameworks and libraries (e.g. TensorFlow, PyTorch).

Experience with large scale production systems and pipelines, with a track record of developing production-grade models

Experience with agentic AI systems, agent frameworks, and evaluation of agent performance and reliability.

Strong algorithm development experience, with knowledge of inference optimization techniques such as model distillation, quantization, pruning.

Background with algorithms including zero/few-shot learning, self-supervised and unsupervised learning and generative AI models for synthetic data creation.

Experience with fine-tune / training LLM models

You are proactive, take full ownership of your deliverables, have a can-do approach, and are excited to learn, explore and apply your skills and creativity to some of the most challenging and rewarding problems in the field.


What will make you stand out from the crowd:

Strong software development experience.

Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT.

Experience with tools for data processing and storage.

Security and networking background, with knowledge of security protocols, network architectures, firewalls, intrusion detection systems, and other relevant security and networking concepts.

Requirements:
What we need to see:

BSc/MSc in CS/CE or related field (or equivalent experience).

At least 8 years of experience in ML engineering with a track record of deploying LLMs and agents to production at scale (including distributed environments).

Proficiency in Python and/or C++, with a deep understanding of ML/AI frameworks.

Hands-on experience with microservices, container orchestration, and cloud platforms for large-scale training and inference workloads.

Knowledge of ML training and inference optimization techniques.

Understanding of build infrastructure and CI/CD tools and practices (e.g. GitLab, GitHub Actions, Jenkins)

Experience with teaching and mentoring.

You are a proactive owner who takes pride in your work but remains humble and approachable. You believe that "how" we build is just as important as "what" we build.

Excellent collaboration skills, with the ability to explain complex infra concepts to non-technical stakeholders clearly and kindly.



Ways to stand out from the crowd:

Experience deploying and optimizing generative models and multi-agent systems for performance.

Deep systems knowledge (Linux internals, network protocols, or high-performance computing).

A background in security research, including knowledge of firewalls, intrusion detection, or network architectures.

Requirements:
What we need to see:
Practical / BSc in Computer Science or Electrical/Electronics Engineering.
0-3 years of proven experience
Clear verbal and written communication, proficient in written and spoken English.
Self-reliant individual, capable of planning and carrying out tasks within their assigned area.
Personal: good interpersonal skills, quick learner, proactive, innovative, highly motivated, and committed.


Ways to stand out from the crowd:
Scripting skills and proven experience in Python or other programming languages
Proven experience in QA - methodologies, and test design.
Working in a fast-paced environment with multiple parallel running activities.
Knowledge/experience in Networking protocols.
Knowledge of Linux/Windows OS.

Requirements:
What we need to see:

Electrical Engineering B.Sc., Computer Engineering or other relevant engineering department graduate with high scores, or equivalent experience.

5+ years of experience in RTL verification. Less experienced engineers with high university grades will also be considered.

Experience in full and cluster-level verification is an advantage.

Self-motivated, ability to work independently and drive tasks to completion.

A great teammate with strong communication and interpersonal skills.


Ways to stand out from the crowd:

Knowledge in Specman, Verilog.

Knowledge in Networking.

Great interpersonal skills.

Requirements:
What we need to see:

B.Sc. or M.Sc. in Electrical or Computer Engineering.

3+ years of relevant experience.

Proficient programming in C.

Debugging experience and ability to investigate and triage difficult problems in embedded FW.

Good communication skills and the ability to work with people across several countries.

Ability to work with interrupts and dynamic environment with good spirit.

Excellent English verbal and written communication skills.


Ways to stand out from the crowd:

Proficient in Python and MatLab.

Good understanding of SerDes operation.

Experience with developing the physical layer of communication protocols.

Knowledgeable of Hardware/Software Development Process.

Strong collaborative and interpersonal skills, with an ability to successfully guide and influence.

Requirements:
What we need to see:
Bachelors or Masters Degree in Computer Science, Computer Engineering, Data Science, or a related field (or equivalent experience).
Demonstrated experience of 5+ years in AI safety/security and offensive cybersecurity.
Knowledge of AI (both model and infrastructure) vulnerabilities and effective mitigation strategies.
In-depth understanding of LLM, MLLM, Generative AI, Agents and RAG workflows.
Proven Python programming expertise
Self-starter with a passion for growth, enthusiasm for continuous learning, and sharing findings across the team
Extremely motivated, highly passionate, and curious about new technologies.

Ways to stand out from the crowd:
Hands-on experience designing and building software products, including infrastructure and system design.
Knowledge of MLOps technologies such as Docker and Kubernetes.
Familiarity with ML libraries (PyTorch, TensorRT, or TensorRT-LLM).

Requirements:
5+ years of software development industry experience.
Education - BSc. in computer Science or equivalent.
Java and Spring Boot Experience.
Flink/Spark Experience
Kafka experience or equivalent
Experience with microservices in Cloud environments.
Experience working with Relational and NoSQL Databases.
Iceberg and Lake Architecture experience - Advantage
Excellent teamwork and communication skills.
High self-learning abilities.
Strong interpersonal skills, high communication skills.
Agentic development proficiency

Requirements:
1+ years of experience in manual testing of web and native mobile applications
Familiarity with QA methodologies, testing processes, and best practices
Experience with defect tracking and test management tools
Strong problem-solving and analytical skills
Excellent communication and organizational skills
Experience or strong interest in using AI tools beyond basic prompting (for example, task automation, prompt chaining, or experimenting with AI agents)
A proactive mindset and curiosity to explore new tools
Familiarity with Playwright (advantage)
Basic knowledge of TypeScript (advantage)

Requirements:
What we need to see:
BSc, MSc, or PhD in Electrical Engineering, Computer Science, or Computer Engineering, or equivalent experience.
5+ years of experience.
Background in confidential computing, attestation, virtualization, and operating systems security.
Programming and debugging fundamentals across languages such as Python, and C/C++.
Strong communication skills and a genuine passion for working together as a team are vital.

Ways to stand out from the crowd:
Demonstrated security research experience and publications in top security conferences.
Experience with AI tools for architectural modeling.
Architectural background in hardware and software systems codesign.

Requirements:
What we need to see:
BSc or MSc or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science or a related field.
5+ years of relevant experience in network architecture, design, or performance analysis.
Solid understanding of power consumption dynamics in network hardware (NICs, switches, cables) and systems.
Proven experience in network architecture and design, particularly for large-scale systems (Data Center, HPC, AI Clusters).
Strong understanding of network protocols (Ethernet, InfiniBand, RoCE, TCP/IP) and their impact on performance and efficiency.
Demonstrable expertise in network performance analysis, bottleneck identification, and tuning.
Familiarity with the characteristics and network demands of AI/ML workloads
Utmost passion for attention to details in design and a high focus on design quality, particularly concerning power/performance trade-offs.

Ways to stand out from the crowd:
Advanced degree or equivalent experience in a related field.
Proven dedication to system-level power/performance trade-off analysis, especially in distributed computing or large-scale network environments.
Experience in power modeling, measurement techniques, or relevant tools for network components and systems.
Proficiency with network simulation tools (e.g., ns-3, OMNeT++, proprietary tools) or performance modeling frameworks.
Understanding of silicon-level power characteristics and optimization techniques.

Requirements:
What we need to see:

BSc, MS, or PhD in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.

7+ years of relevant experience in firmware, platform architecture, embedded systems, or low-level systems software.

Deep understanding of RAS principles, fault modeling, error containment, recovery policies, diagnosability, and serviceability requirements.

Experience architecting firmware for complex hardware platforms such as SoCs, accelerators, DPUs, servers, networking devices, or embedded systems.

Strong knowledge of power management concepts, including power sequencing, reset architecture, thermal and power fault handling, power state transitions, and platform recovery flows.

Familiarity with boot firmware, UEFI/BIOS, BMC, embedded controllers, RTOS, embedded Linux, or platform management stacks.

Strong understanding of hardware/software interfaces, registers, interrupts, telemetry paths, debug infrastructure, and firmware-to-hardware contracts.

Programming and debugging fundamentals across languages such as C/C++, Python/Perl scripting, Verilog, assembly, or RISC-V assembly.

Ability to lead cross-functional architecture discussions and drive alignment across hardware, firmware, software, validation, product, and customer-facing teams.

Excellent communication skills, strong technical leadership, and a real passion for working collaboratively.


Ways to stand out from the crowd:

Experience with PCIe AER, CXL RAS, memory RAS, ECC/parity, accelerator RAS, networking RAS, high-availability systems, or large-scale data center platforms.

Knowledge of ACPI, SMBIOS, UEFI, PLDM, MCTP, Redfish, IPMI, or cloud telemetry systems.

Experience with power/thermal fault handling, dynamic power management, platform power sequencing, low-power states, or autonomous recovery mechanisms.

Background in silicon bring-up, platform validation, production diagnostics, or customer failure analysis.

Prior technical leadership experience as a firmware architect, principal engineer, platform lead, or domain owner.