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We are looking for a passionate and dynamic Mechanical Engineer, with a hands-on approach, to join our R&D team.

The role involves the research and development of robotic mechanisms incorporating motors, gears and sensors, from concept to mass production.



Responsibilities:

Design and develop complex robotic mechanisms and assemblies from concept through production.

Lead mechanical development activities across the full product lifecycle, including concept generation, detailed design, prototyping, drawing release, manufacturing support, integration and verification.

Define and execute test and validation methodologies to confirm design performance and compliance with engineering requirements.

Generate and maintain high-quality engineering documentation, including requirements, calculations, design reviews, protocols, reports, and change orders.

Collaborate closely with cross-functional stakeholders including systems engineering, software, electronics, manufacturing, quality, and operations.

Manage technical interactions with suppliers and support component sourcing, qualification, and manufacturability activities.

We are seeking a highly skilled Algorithm Engineer with a strong focus on deep learning and problem-solving. The ideal candidate will have proven experience in end-to-end development - from research and prototyping to production deployment - and a passion for applying advanced algorithms to transform the field of medical robotics.

Responsibilities:

Design, develop, and deploy cutting-edge algorithms to enhance the accuracy, robustness, and efficiency of robotic surgical systems.
Apply deep learning, computer vision, and advanced data analysis techniques to solve challenging perception and decision-making problems.
Lead end-to-end development cycles: problem definition, algorithm design, implementation, optimization, and integration into real-time systems.
Collaborate with multidisciplinary teams, including software, hardware, and clinical experts, to ensure algorithms meet system and clinical requirements.
Validate and refine algorithms through simulation, lab testing, and clinical feedback.

We are seeking a senior embedded software engineer to serve as the technical lead for our embedded team, developing the real-time software at the heart of a first-in-market surgical robotic platform.

This is a hands-on, individual-contributor role: you will help shape the technical direction, make sound engineering decisions, and take ownership of delivering features end to end, while remaining deeply involved in the code. As the system is designed collaboratively by the team, strong cross-team collaboration is as important as individual technical excellence. This is safety-critical software, and we hold a high standard for rigorous design, testing, and code quality.

Responsibilities:

Serve as the technical and feature lead for the embedded team, guiding design decisions and mentoring peers through code reviews (this is not a people-management role).
Drive the design and development of our real-time embedded software, and own the delivery of features end to end.
Uphold a high standard of code quality through code reviews, best practices, and continuous improvement.
Remain hands-on, personally developing the most complex and safety-critical components in C/C++.
Collaborate closely with other teams across the company to ensure technical alignment and shared progress.
Take ownership of delivery, ensuring features are completed on schedule and to the quality this product demands.
Make technical decisions independently where appropriate, while knowing when to involve the wider team.

We are looking for a Technical support to join our growing robotics startup. This role is hands-on and multidisciplinary, involving installation, maintenance, troubleshooting, and on-site support of complex robotic systems. The systems combine mechanics, hardware, electronics, and advanced software, and require strong system-level understanding. The position includes work at our companys facilities as well as international travel, primarily for system installations, demos, and field troubleshooting. As part of our rapidly growing, small, motivated, and multi-disciplinary team, this position is the first dedicated role in its domain, providing a unique opportunity to contribute to a new area within the company.



Responsibilities

Maintain, test, and troubleshoot robotic systems at the companys facilities
Install, calibrate, and commission robotic systems at customer and partner sites abroad
Lead on-site system setup and troubleshooting during demos and early deployments
Diagnose and resolve hardware, mechanical, and software issues in the field
Perform hands-on replacement and repair of mechanical and electromechanical components
Work closely with R&D teams (software, mechanical, electrical, algorithms) to deeply understand the system
Gather knowledge from internal engineering teams and apply it independently in the field
Provide technical feedback from the field to improve system robustness and usability
Document issues, procedures, and best practices

We are seeking a dynamic and experienced Sales Engineer who will be responsible for our sales of Photonics products from Quantifi Photonics and MultiLane.

This role is responsible for driving strategic sales initiatives, managing customer relationships, and ensuring technical excellence through collaboration with both Quantifi and MultiLane Technical Teams.

The ideal candidate will have a proven track record selling Photonics products, including technical solution selling, and market development.


Key Responsibilities:
Develop and execute sales strategies to achieve revenue targets and expand market share.
Develop and drive sales through our distribution network, across the region.
Collaborate closely with the Regional Sales Manager to align regional goals with corporate objectives.
Foster strong relationships with key customers and partners, ensuring exceptional customer experience and satisfaction.
Promote the companies products and solutions at regional trade shows & conferences.
Drive technical enablement and solution positioning to support complex sales cycles.

we are seeking a Lead System Architect to join our system architecture team and help define NR-NEXUS, our next-generation AI inference platform.

Responsibilities

Lead the software architecture and technical roadmap for NR-Nexus
Write system specifications for NR-Nexus product
Research AI infrastructure, SaaS platforms, model serving, and inference trends
Work with engineering to translate technical capabilities into product value
Work closely with engineering teams to optimize performance, scalability, and feature delivery.
Define performance goals and lead profiling, benchmarking, and optimization efforts for GenAI and distributed AI workloads.
Collaborate with customers, partners, and open-source communities to ensure ecosystem compatibility and adoption.
Mentor software engineers and provide technical leadership

We are looking for a Senior Software Engineer to help build and optimize large-scale, high-performance GenAI infrastructure and inference systems on Kubernetes.

As AI workloads increasingly move toward Kubernetes-native infrastructure, we are building systems that support distributed inference, performance optimization, reliability, observability, and production-grade deployment at scale.

This role is ideal for an engineer who can reason deeply about systems, performance, tradeoffs, and reliability, and who is comfortable owning difficult technical decisions end-to-end.

You will work across inference serving, distributed systems, optimization, and Kubernetes-native AI infrastructure.

What Youll Do

Build and optimize high-performance Kubernetes-native GenAI inference systems
Work with modern inference stacks such as vLLM, SGLang, TensorRT-LLM, and related tooling
Work with Kubernetes-native distributed LLM inference frameworks such as llm-d and NVIDIA Dynamo
Design and implement optimization algorithms and performance improvements
Improve reliability, observability, deployment, and operational maturity of AI systems
Make architectural decisions and take ownership of technical outcomes
Collaborate with a small, senior engineering team focused on performance and production quality

AI scale-out communication is a critical element in modern data centers, and emerging standards such as Ultra Ethernet aim to address this challenge. This role focuses on defining a high-performance Smart NIC architecture optimized for GPU-centric AI workloads, with emphasis on low-latency, high-bandwidth data movement.

You will work across hardware and software domains, collaborating closely with AI, platform, driver, and VLSI teams to design a competitive scale-out networking solution.

Responsibilities

Lead the software architecture and technical roadmap for or next-generation ultra low-latency AI-SuperNIC software stack, including drivers, firmware, libfabric, and libibverbs.
Define the partitioning and interfaces between hardware, firmware, kernel drivers, user-space libraries, and AI frameworks.
Lead the design and implementation of high-performance networking, RDMA, and GPU-direct communication capabilities.
Drive software support for emerging technologies and standards such as UEC, UALink, MRC and RoCEv2 ecosystems.
Work closely with hardware, system architecture, and VLSI teams to optimize performance, scalability, and feature delivery.
Define performance goals and lead profiling, benchmarking, and optimization efforts for GenAI and distributed AI workloads.
Collaborate with customers, partners, and open-source communities to ensure ecosystem compatibility and adoption.
Mentor software engineers and provide technical leadership across firmware, driver, and networking software development

Join the Front-End Design team, at the core of silicon development. Our engineers cover the full spectrum of chip design: definition, architecture, micro-architecture, RTL design, verification, signoff, and validation.
We leverage cutting-edge silicon technologies and methodologies to develop the largest-scale and most advanced devices, pushing the boundaries of whats possible.
Your Impact:
Review micro-architecture specifications
Implement Verification environment UVM based
Collaborate with Design engineers to resolve bugs and achieve coverage closure
Work with the firmware/Lab teams to verify chip flows
Perform debug, root-cause analysis, and post-silicon validation in the lab

Come join us and help shape groundbreaking solutions by designing, developing, and testing some of the most complex ASICs in the industry.
What You Will Do:
In this role, you will be part of the Switch ASIC Post-Silicon Electrical Validation (EPSV) team.
Ensure the ASIC operates according to specifications and reliably over time by performing extensive, high-precision measurements using advanced test equipment and procedures.
Conduct deep-dive investigations, integrating knowledge across hardware, software, and system domains to identify root causes of observed device behavior.
Handle all chip validation aspects, including:
Building validation plans.
Performing EPSV using advanced test and measurement equipment.
Writing tests in Python over device SDK.
Executing tests and analyzing results.
You will gain in-depth knowledge of chip architecture, functionality, and operating modes, enabling you to debug and resolve electrical chip-related issues.

we are seeking a Physical Design Engineer.
Meet the Team:
The Physical Design team owns backend methodology and flow development from RTL to GDS. The team plays a critical role in developing high-quality VLSI designs for some of most advanced silicon products.
We work with the latest silicon technologies and processes to build large-scale, complex devices that push the boundaries of feasibility. You will collaborate with experienced engineers across architecture, design, verification, and implementation to deliver high-performance silicon.
Your Impact:
You will be part of the team, which is at the heart of software and ASIC design efforts. As a Physical Design Engineer, you will contribute to backend implementation work across key stages of chip design, helping move complex designs from RTL toward GDS.
You will work on physical synthesis, place and route, optimization, timing closure, and floor planning activities. Success in this role means delivering high-quality implementation results, learning quickly from senior engineers, and helping improve the flow and methodology used by the team.