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Required Logic Design Engineer
Responsibilities
Design and implement complex digital circuits for ultra low-power SoC.
Participate in all phases of SoC design, from specification to coding, debug and tape-out.
Perform RTL design, synthesis, and timing analysis.
Optimize designs for power, performance, and area (PPA).
Collaborate with cross-functional teams, including architecture, System, Software, Analog, verification, and physical design engineers.
Contribute to the development of design methodologies and best practices.
Debug and resolve design issues.
Support Lab bring ups, debug and other activities.

We are looking for a talented and experienced engineer to take part in the verification efforts for the companys core product. This position involves building and maintaining a complex verification environment, and defining and executing a test plan. In this role, you will be leading all aspects of verification and will have a critical impact on the company's R&D path.
Responsibilities
Lead the full verification lifecycle and methodologies. Plan, Design and Execute verification of SV/UVM Block level and Full chip environments , creating and execution test plans, tracking progress, and ensuring verification closure across diverse Mix-signals SoC simulation using Verilog, MATLAB, HW/SW Co-simulation and lab integration.
Work closely with Digital Design, Analog Design, Software, Back-end, SW and System teams to understand the functional, power and performance goals of the product and ensure its quality.

Were looking for a Senior SW Engineer to lead development of algorithmic data processing pipelines at high scale and build the next generation of our data processor.
Responsibilities
Data Centric Software Development: Lead development of algorithmic data processing pipelines at high scale
Monitoring and Performance Tuning: Optimize resource consumption and monitor performance of complex data pipelines handling high throughput
Collaboration with Data Scientists: Work closely with data scientists and to integrate ML models and other algorithmic artifacts into a production grade data platform and application ecosystem. Facilitate seamless collaboration between teams to ensure ML and data engineering efforts are aligned with business objectives.
Peer collaboartion : Bring knowledge of architecture, design patterns and best practices to help improve quality within the team
Security and Compliance: Ensure the data platform adheres to security best practices and compliance requirements, protecting sensitive data and privacy.
Technology Evaluation and Innovation: Stay abreast of the latest developments in Data processing, ML technologies, and cloud services to drive innovation and adopt new technologies where beneficial. 

Were looking for a strong backend engineer to join us in building disruptive technology in the IoT space. As part of our team, youll design and implement scalable management systems, solve complex problems, and shape the future of IoT through innovative software solutions.
Responsibilities
Design SW solutions, considering large scale, high availability, security, robustness, performance, cloud, multi-tenancy
Develop the highest standard code, complex solutions and architecture
Work with cross-functional stakeholders such as product management, additional SW engineers, architects and team leads
Understanding and oversee of all phases of the development life cycle, such as Automation, CI\CD, TDD, Integrations, Builds, Deployment
Support and troubleshoot production issues.

We are looking for a GenAI Product Owner to join our AI organization and play a critical role in executing our GenAI and Physical AI initiatives. This is a highly hands-on, execution-focused role, sitting at the intersection of GenAI, data platforms, and ambient IoT.
You will work closely with engineering teams to turn ideas, strategies, and architectural direction into clear technical stories, tasks, and deliverables - and make sure they get shipped. While product strategy will evolve over time, the core of this role is getting things done: driving execution, removing friction, and ensuring complex technical work moves forward with clarity and urgency.
This role is ideal for someone who enjoys being close to the technology, thrives in ambiguity, and wants to work on deep, difficult problems at the frontier of Physical AI and GenAI.
Responsibilities
Own the Product Roadmap: Lead the planning, execution, and delivery of product features related to our data-driven products.
Sprint Management: Oversee agile sprints, ensuring alignment between engineering teams and other stakeholders on timelines and technical requirements.
Collaborate with Cross-Functional Teams: Work closely with engineering, product managers, and business teams to ensure features align with both technical and business needs.
End-to-End Ownership: Take full responsibility for the product lifecycle, from ideation through to delivery and iteration.
Drive Timely Delivery: Ensure the delivery of roadmap features on time, managing risks and adapting to changing priorities.
Communication: Regularly update leadership and stakeholders on project status, roadblocks, and successes.