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Required Senior Formal Verification Engineer
The Radar VLSI team is looking for an experienced Formal Verification Engineer to join us! This is a newly established team with a mission to integrate Formal Verification as a key methodology in Radar projects. Be part of a cutting-edge group designing chips for radar systems in ADAS and autonomous vehicles, where your expertise will have a significant impact.
What will your job look like:
You will verify unique and complex design blocks.
Help determine the Formal strategy and methodology for the team.
Explore new Formal methods and tools.

Our DDR SoC team is looking for an experienced verification engineer to be involved in the development of our current and future SoC.
Working on the cutting-edge technologies to deliver our EyeQ SoC family for ADAS and autonomous vehicles.
What will your job look like:
Verify the SoC DDR interface including the integration of advanced DDR controller and PHY.
Build block level Verification of the DDR interface
VIP integration for interface protocols and DDR.
Collaborate with designers, architects and SW developers from Haifa and Jerusalem teams to deliver the most comprehensive verification environment.
Write and debug tests that combine UVM methodology and SW code.
Define, develop, and execute complex verification scenarios on the DDR interface.

We are looking for System Software student to help us develop the semiconductor platform which is based on revolutionary architecture.

Join a dynamic team developing products for disruptive system architectures that power the worlds largest cloud provider. Work on essential networking and storage technologies in an open, fast-paced environment.

Key job responsibilities:
Learn and shape how the cloud operates 'behind the scenes' today while driving the innovation that defines its futuremaking it more secure, faster, and robust. This challenging and exciting role offers opportunities to contribute across diverse domains, including embedded development, host stacks, and internal services. Youll work with frontline technologies, tackle multidisciplinary challenges, and make impactful decisions. Joining Annapurnas system group connects you with numerous teams, enabling you to make contributions on a company-wide scale.

Key job responsibilities:
- Development of DFQR and DFT methodologies and BKMs.
- DFQR and DFT activities during the product design stage.
- Product quality & reliability validation (QRV) and ongoing quality & reliability monitoring (OQRM).
- Q&R engineering of volume manufacturing:
- yield monitoring, SPC;
- DOE, analysis, risk assessment and disposition of non-conformance events/non-conforming material.
- RMAs: failure analysis, disposition, reporting and follow-up (CAP and implementation).

We are seeking a hands-on Director of Embedded Systems to lead the strategy, execution, and customer engagement for our embedded platforms in advanced automotive perception. Reporting directly to the VP R&D, you will manage the Embedded Software Team Lead (5 engineers) and the Software Architect, while also engaging closely with Tier-1/OEM customers and silicon vendors.
This role combines deep technical ownership, strong leadership, and customer-facing responsibilities in a fast-paced startup environment.
Responsibilities
Leadership & Team Growth
Lead the Embedded Software Team Lead and Software Architect, ensuring alignment between architecture, implementation, and delivery.
Set priorities, allocate resources, and oversee execution across embedded software development.
Act as the escalation point for complex technical or organizational challenges.
Build a high-performance, accountable, and collaborative culture.
Prepare for future team growth as the company scales.
Technical Ownership
Remain hands-on with design reviews, architecture decisions, and technical discussions.
Own the end-to-end embedded software vision for perception systems, balancing scalability, real-time performance, and safety.
Oversee architecture across heterogeneous compute platforms (CPUs, GPUs, NPUs, MCUs).
Ensure best practices in coding, reviews, testing, and integration in real-time, safety-critical environments.
Coordinate with 3rd-party partners on middleware, BSP, OS abstraction, and low-level drivers, with the ability to read and challenge design documentation.
Customer & Partner Engagement
Spend ~50% of your time outbound: lead technical discussions with Tier-1/OEM customers, support escalations, and represent embedded systems in workshops.
Manage relationships with silicon vendors (e.g., TI, NVIDIA, Qualcomm, Renesas), staying aligned with their roadmaps.
Ensure embedded deliverables are integrated smoothly with broader system needs in perception, hardware, and validation.
Standards & Compliance
Own compliance with ASPICE, AUTOSAR, ISO 26262 (Functional Safety), and ISO/SAE 21434 (Cybersecurity).
Lead audits, reviews, DFMEA/DFA processes, and quality gates.
Define and enforce engineering processes and metrics across the embedded team.
Innovation & Roadmap
Track industry trends in embedded systems, AI acceleration, and automotive perception.
Shape the long-term roadmap for embedded platforms in collaboration with executives.
Evaluate and adopt new tools, frameworks, and hardware accelerators to enhance performance and safety.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations, including Privia Health and Agilon.
Were looking for a motivated and detail-oriented Product Manager to lead product ownership for our Engine Team. This role sits at the heart of our product - defining, refining, and improving the medical logic that powers our AI-driven suggestions. Youll partner closely with medical experts, data scientists, and engineers to translate customer needs into scalable, accurate, and impactful product features.
Responsibilities
Strong technical background with experience in development, data analysis, technical product management, or a similar role. Engage with customers and end-users to gather feedback and insights on our medical logic.
Translate customer and business requirements into PRDs, technical specifications, and logical flows for the Engine Team.
Collaborate with medical and data science teams to brainstorm and validate new ways to improve our suggestion algorithm.
Explain complex medical logic in simple, non-technical language to internal stakeholders (Support, CSM, Implementation teams) and generate internal product documentation
Use SQL and analytical skills to interrogate data, evaluate logic performance, and validate improvements..
Own and manage the product backlog for the Engine Team, prioritizing requests based on customer impact, business goals, and urgency.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.
The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.
Responsibilities
Take ownership of the entire machine learning engineering lifecycle - from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.

Backed by over 250 patents and trusted by global industry leaders including Toyota and BMW, we are redefining AI for the future of autonomous driving.
Our breakthrough Air2Road Localization technology fuses aerial imagery with real-time ground view data to achieve accurate vehicle localization, even in areas where GPS fails. Join our Air2Road team to shape the next generation of AI-driven localization, tackle cutting-edge research challenges, and turn state-of-the-art deep learning into real-world impact!
Responsibilities
As a senior member of the Air2Road algorithm team, you will:
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Use classical computer vision algorithms together with deep learning to build robust solutions.
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.

We're looking for an exceptional Senior Back-End JavaScript developers, with expertise in Node.js. MongoDB, Express, Kubernetes, RabbitMQ, Cassandra and Snowflake.
In this role, you will take full ownership of product and feature development, using cutting-edge technologies, in a fast-paced and professional agile environment.
*Hybrid position.
Responsibilities
End-to-end feature development, from conception to production.
Participate in system design and architecture planning, for optimal software performance.
Take on independent responsibilities, while contributing to the team's collective goals.
Actively learn, adapt and stay up-to-date with the evolving tech landscape, including best practices.