דרושים » תוכנה » Student Researcher, 2027

Required Part-Time Research Scientist PhD Intern, 2027
Please complete your application before 23rd October 2026. We encourage you to apply as early as possible as we review applications on a rolling basis.
This internship is intended for students in their penultimate/final year of education in an accredited full-time PhD degree program in Israel. Participation in the internship program requires that you are located in Israel for this role for the duration of the internship program. Interns will be required to be available to work part-time (minimum 2 days a week, maximum 4 days a week) alongside your studies for a minimum of 26 weeks starting early 2027 (starting in March, April or May) for the duration of the program. Individuals applying for this position will not be eligible for immigration sponsorship.
About the job
Research happens everyday, on many different embedded teams throughout the company. Our research reaches the user through both services and products such as Search, Maps, Assistant, Translate, Cloud, and our computing, storage, and networking infrastructure. To achieve this, were working on projects that utilize the latest technologies that push the boundaries of what is possible. Research-focused engineering interns are embedded throughout the company, contributing to the setup of large-scale tests and deploying promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing architectures, research-focused engineering interns work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and more.
Our Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to our products.
Responsibilities:
Participate in research to develop solutions for real-world, large-scale problems.
Research, conceive, and develop software applications to extend and improve on our product offering.
Contribute to a wide variety of projects utilising natural language processing, artificial intelligence, data compression, machine learning, and search technologies.

We are looking for a Software Development Student to join us part-time alongside your studies. You will work on real firmware that ships on production ML servers, writing and testing code, debugging on real hardware, and learning how large-scale accelerator platforms are built from the ground up. You will be working closely with silicon, hardware, and cloud teams to bring new accelerator platforms from first power-on to production. You will be paired with experienced engineers who will mentor you, review your code, and help you grow.

This is a hands-on role for a student who is curious about how hardware and software meet, enjoys solving problems at a low level, and wants to make a real impact on systems used at massive scale.

Key job responsibilities
- Develop, test, and debug firmware components for ML accelerator servers.
- Write clean, well-tested code and participate in code reviews.
- Investigate and root-cause issues on real hardware in the lab.
- Build tools and automation that improve the team's development and validation flow.
- Collaborate with firmware, hardware, and platform engineers across the group.

We are looking for a highly motivated AI Research Student for our Robotics & Simulation AI team. You will be passionate about data science, AI quality measurement, and the intersection of AI with high-accuracy industrial domains. This role is ideal for someone who grows with challenging existing assumptions, defining rigorous evaluation methodologies, and pushing AI systems toward measurable reliability. You will combine strong data science and research skills with hands-on experimentation in a production AI product that controls robotic manufacturing simulations.

Key Responsibilities

AI Quality & Stability Research

Define and implement metrics to measure the stability, accuracy, and reliability of our production AI Copilot (PSCoPilot)
Design evaluation frameworks for AI agents operating in safety-critical robotics and simulation environments
Build observability and tracing pipelines using platforms like Langfuse to monitor Copilot performance, token usage, latency, and tool-calling success rates
Analyze failure modes, hallucination patterns, and tool-calling accuracy across 48+ MCP-exposed robotic operations
Develop automated regression and benchmark pipelines to track Copilot quality over time

Data Science & Experimentation

Conduct statistical analysis on Copilot interactions (tool selection accuracy, collision detection correctness, path planning success rates)
Research and apply techniques from AI evaluation literature (LLM-as-judge, human-in-the-loop validation, domain-specific benchmarks)
Leverage LangChain and similar orchestration frameworks to prototype evaluation chains, structured agent workflows, and comparison experiments
Explore how multi-layer agent architectures (fast triage + deep execution) affect accuracy and cost trade-offs
Challenge the team with data-driven insights on where the Copilot underperforms and why

Domain AI Research

Investigate how to improve AI reasoning for robotics tasks requiring high precision (welding, clearance checking, reachability analysis)
Research grounding techniques that reduce errors in domains with zero tolerance for incorrect outputs
Explore and apply new AI technologies (GenAI tools, AI coding assistants, agents, MCP-based solutions) to enhance Copilot capabilities
Validate technical feasibility through hands-on experimentation with our production MCP bridge and two-layer streaming agent engine

Communication & Documentation

Document findings, benchmarks, and technical recommendations
Present results to technical and business partners
Collaborate with the team to translate research insights into production improvements

As a Software Test Development Engineer in our team, you will be responsible for the Graviton servers' software quality.
That includes setting up and maintenance of lab and cloud environments, writing test-plans, automating them and troubleshooting issues.
You will take part in designing, developing, and maintaining our automation frameworks and will work closely with developers to ensure the timely delivery of high-quality Graviton servers to our customers.
As a part of this team, you will solve difficult technical problems, work on test frameworks, test tools, and test case automation for large components. You will build and apply solutions that assess and mitigate quality risks on the Graviton servers.

Key job responsibilities
We are looking for exceptional student engineer with a passion to learn how the Cloud is working "behind the curtain".

You will learn about new features of the server, develop automation to qualify them and implement the tests into a Continuous-Integration (CI) environment that run in lab and in the actual AWS Cloud.

In this highly technical position, the Python Software Engineer student will learn scripting abilities in python to write tests to constantly check the functionality of the Graviton servers' software.
Experience coding in python and testing embedded systems while being able to leverage AI capabilities are key to success.

*Make sure to include a grade sheet with your CV, in a single PDF*

As we expand our presence in Israel, we are seeking a motivated Physical Design Student to join our founding local engineering team.

This is a unique opportunity to kickstart your career in the semiconductor industry. Working alongside senior industry veterans, you will gain hands-on experience in backend execution and advanced methodologies for cutting-edge chips that power the world's largest AI clusters. If you are passionate about silicon hardware, eager to learn, and thrive on solving complex engineering challenges, this role offers the perfect bridge between your academic studies and a high-impact career.


Key Responsibilities

Guided Implementation & Learning
Partner with and learn from senior engineers to support the physical implementation journey, including synthesis, floorplanning, Place & Route (P&R), and Clock-Tree Synthesis (CTS).
Assist in macro-level implementation and develop hands-on skills in complex layout routing.
Participate in deep-submicron process challenges under close professional mentorship.

Signoff & Design Integrity Support
Assist in running engineering checks for design integrity, including Static Timing Analysis (STA), Physical Verification (DRC/LVS), and Reliability analysis (EMIR).
Learn to apply Logic Equivalence Checking (LEC) to help guarantee design correctness.
Gain exposure to the rigorous flows required to ensure first-pass silicon success.

Scripting & Cross-Functional Collaboration
Leverage and develop scripting tools to automate repetitive tasks and optimize the engineering environment.
Collaborate with Architecture, Design, and DFT teams to understand how different chip design disciplines intersect.
Actively participate in team reviews and technical discussions to ramp up backend methodologies.

We are looking for a Software Development Student to join us part-time alongside your studies. You will work on real virtual platform models and environments used across the company, writing and testing code, debugging complex hardware-software interactions, and learning how large-scale platforms are designed and brought up from the ground up.

You will be paired with experienced engineers who will mentor you, review your code, and help you grow.

Key job responsibilities
- Develop and maintain simulation models of hardware components, integrate complex platform environments.
- Write clean, well-tested code and participate in code reviews.
- Debug and investigate complex hardware-software interactions.
- Build tools and automation that improve the team's development and validation flow.
- Collaborate with software, hardware, and silicon engineers across the group.
- Available to work part-time (at least 2-3 days per week) alongside studies.

We are seeking a versatile, highly motivated Engineering student to help us develop 3D graphical simulation software solutions focused on robotics and automation systems for industries like Automotive, Electronics, Aerospace, and more. This is an excellent opportunity to apply your technical knowledge, gain real-world experience, and grow within a global software leader while working on complex industrial challenges.

Key Responsibilities

Develop and complete system validation tests ensuring compliance with customer business needs
Prepare customer focused demos and tutorials
Support customer projects and engagements driving new capabilities and technologies deployment
Contribute to the advancement of robotics and automation solutions using 3D simulation and computer vision technologies

looking for talented students to help us develop the semiconductor platform which is based on revolutionary architecture.
Take part in the development of innovative products within disruptive system architecture. Youll have the opportunity to work on the technologies that power the worlds largest Cloud provider, within a dynamic, open, and fast-paced environment. Our Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world.

Key job responsibilities
As Post Silicon Dev Student you will be exposed and learn wide range of expertise such as: C++ programing, hardware design, data mining, Verilog simulations, working with various high end test equipment and more
If paving new roads on edge of technology within a strong and dynamic team is what you seek, your place is with us.

We're looking for a motivated student who wants to take their first step into the high-tech world - and not just anywhere, but at one of the fastest-growing cybersecurity companies out there, working on some of the most interesting challenges in the industry. This is an entry-level position with real room to grow: you'll get hands-on training, mentorship, and the chance to develop into a full Technical Support Engineer role over time.
Responsibilities:
Provide accurate and timely support via Slack, chat, or email to help troubleshoot and resolve customer issues.
Learn to diagnose technical problems and escalate complex issues to R&D or Product when needed.
Build strong relationships with customers and maintain a professional, supportive tone.
Help create and update support documentation, and log interactions in the support system.
Continuously build your technical skills through ongoing training and mentorship.

Were searching for a Lab Technion Student who will be responsible for the installation, configuration, maintenance, and troubleshooting of our Linux-based server infrastructure, as well as managing various network services and components.

Student will have at least 4 semesters remaining in their degree. The ideal candidate will posses a strong passion for learning new things and the ability to quickly put that new knowledge and skills into practice. You will have the ability to perform basic troubleshooting for hardware, software, and networking issues without guidance.