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We are looking for an Algorithms Manager who will lead the design and implementation of the automotive imaging radar Algorithms stack.

What will you do?
Lead the team which defines and scales up our radar high performance algorithms and make them meet the ADAS and Autonomous Vehicles standards and beyond.
Drive and consistently improve our radar performance.
Identify key areas of Next Generation improvements, recommend research directions and system solutions.
Design, develop and implement Radar data analysis methodology
Be a knowledge source for automotive radar KPIs.
Work closely with different stakeholders that include external customers and internal interfaces like SW, HW, and others.

We are looking for highly motivated engineers who love the challenges and the opportunity of a small company. Join us and be a part of a small and dynamic team, which revolutionizes the parallel processor architecture.

This is a varied role for someone who wants to understand how marketing contributes to business growth in a global B2B technology company. You will work across creative execution and analytical projects, helping the team develop content, understand performance, identify market opportunities, and support sales initiatives. You will work closely with marketing and sales and collaborate with colleagues across product, regional teams, and other parts of the business.
Responsibilities:
Content and Social Media
* Support the planning and execution of marketing campaigns, with an emphasis on social media and digital content
* Maintain the content calendar and help coordinate content reviews, approvals, scheduling, and publication
* Track content needs and follow up with internal contributors to keep projects moving
* Use approved AI tools to support research, content development, data analysis, and workflow efficiency while maintaining accuracy, quality, and brand consistency data and Marketing Analytics
* Track and analyze the performance of campaigns, social media, newsletters, and other marketing activities
* Build and maintain simple reports or dashboards that make performance visible over time
* Identify high-performing topics, formats, and channels, and translate the findings into recommendations
* Analyze customer production and application data to identify market trends, growth opportunities, and potential customer stories
* Turn data into clear findings that can inform marketing priorities, content planning, and sales activities Customer and Sales Support
* Support the preparation of customer-facing presentations, Product Marketing materials, competitive content, and other Presale assets
* Assist in developing customer business cases and clear value propositions
* Conduct research on customers, prospects, market segments, and applications
* Help turn technical or operational information into clear, customer-focused messages
* Maintain and update shared marketing and sales-enablement resources Marketing Operations
* Support marketing activities around industry events, customer visits, demonstrations, and trade shows
* Support day-to-day marketing operations and take on additional projects as priorities evolve

Attributes:

* Highly organized, detail-oriented, and comfortable managing several activities at the same time
* Proactive and willing to take ownership, ask questions, and follow through
* Able to work independently while collaborating effectively with different teams
* Comfortable in an environment where priorities can change, and assignments may vary

The Senior Product Manager will play a key role in the product life cycle with an emphasis on customer requirements, as well as generating and defining the product vision. The Senior Product Manager will work closely with multiple departments, including product management, engineering, UX/UI, sales, customer support, finance, and marketing, to ensure customer requirements are met.
This is an exciting opportunity to join a fast-growing, innovative company, be part of a strong team, and lead a product that solves a high-profile problem in the Cloud Security space. You will be joining the companys product team and leading a significant domain.
Your Opportunity:
Own and lead the vision, strategy, and execution for the Cloud Threat Detection domain, driving end-to-end product development of threat detections and stories, AI risk assessment, eBPF agent, container runtime protection and more. to help customers reduce risk and achieve continuous cloud compliance
Engage directly with customers and prospects to gather insights, validate assumptions, and ensure product decisions align with real-world security challenges.
Collaborate cross-functionally with engineering, design, and research teams to deliver high-impact features and platform capabilities
Drive both inbound and outbound product efforts
Define product strategy and roadmap.

Required Lead SoC Architect
We are modernizing analytics infrastructure with the first purpose-built ASIC processor, the Analytics Processing Unit (APU), for analytics and AI data workloads. Delivering up to 100x faster Apache Spark performance while cutting infrastructure TCO by 90%, the APU executes analytics operations directly in silicon with seamless integration and no code changes.
Responsibilities:
Definition and detailed hardware specifications of subsystems in the SoC
Breaking down the sub-system architecture into microarchitectural blocks with the related firmware, and SW components.
Understanding the system in which the SoC is integrated to and designing the SoC to perfectly fit into the datacenter system.

We are looking for an Algorithms Engineer who will handle the design and implementation of the automotive imaging radar Algorithms stack.

What will you do?
Be part of the team that defines and scales up our radar high performance algorithms and make them meet the ADAS and Autonomous Vehicles standards and beyond.
Consistently improve our radar performance.
Design, develop and implement Radar data analysis methodology.
Be a knowledge source for automotive radar KPIs.
Work closely with different stakeholders that include external customers and internal interfaces like SW, HW, and others.

Were looking for an experienced SW Engineer to join our Architectural Team, where you'll design and develop our hardware simulators that serve as the source of truth, drive architectural exploration and compiler optimization.
Our simulators model diverse cores within a cutting-edge SoC designed to accelerate Big Data and Database Analytics. You will collaborate closely with hardware and software teams, contributing to co-design efforts that influence architecture, tooling, and system-level behavior.
Responsibilities:
Develop new hardware simulators and continue evolving existing ones.
Collaborate with Architecture, VLSI, and Software teams to drive co-design initiatives.
Provide insights that influence chip architecture, compiler optimization, and system-level performance.
Develop tools that drive the chip development cycle.

As we scale and evolve our fully automated fraud prevention strategies, we are seeking a Data Analyst to join our growing Fraud Analytics team.
We operate in a data-rich, fast-paced environment, processing billions of data points annually, and play a critical role in safeguarding large enterprises from fraud. In this role, you will work at the intersection of data analysis, fraud strategy, and automation, collaborating closely with engineering, data science, and commercial teams to develop scalable fraud detection solutions.
This is a high-impact role with significant ownership and cross-functional collaboration in a team with tremendous room for growth. If you are highly motivated, data-driven, and thrive in a fast-moving environment - you belong with us.
Key Responsibilities
Develop and refine fraud detection strategies by analyzing complex datasets and identifying fraud patterns.
Partner with cross-functional teams, including software engineers, data scientists, and commercial stakeholders, to develop scalable fraud solutions.
Conduct deep-dive risk analyses, leveraging multiple data sources to assess fraud threats and define innovative solutions.
Monitor and automate fraud detection processes to enhance efficiency and effectiveness.

As a Fraud Data Scientist, you will be at the front lines of protecting our ecosystem from sophisticated financial fraud and abuse. You will join a high-impact team operating in a data-rich, high-frequency environment where seconds matter.
In this role, you will take ownership of the end-to-end machine learning lifecycle-from uncovering complex fraud patterns to deploying highly scalable, real-time models into production. You will collaborate closely with Engineering, Product, and Risk Operations to build robust defenses that balance strict security with a seamless user experience.
What You Will Be Doing
Model Development & Deployment: Design, train, and deploy advanced machine learning models (e.g., gradient boosting, anomaly detection, graph networks) to detect and mitigate fraud in real-time.
Production Ownership: Take full ownership of putting models into production systems, ensuring low-latency execution and high reliability.
Agentic Workflows: Research, build, and implement Agentic flows and LLM-driven orchestration to automate multi-step fraud decisioning, logic routing, and investigation paths.
Adversarial Analysis: Conduct deep-dive exploratory analysis on massive datasets to identify emerging fraud vectors, loops, and coordinated attacks.
Feature Engineering: Build and optimize real-time streaming and batch features to improve model signal and precision.
Experimentation & Monitoring: Design rigorous shadow-testing and A/B testing frameworks for new models. Set up continuous monitoring pipelines to catch data drift and performance degradation early.

We are seeking a Technical Project Manager (TPM) to join our growing team. This role will be instrumental in driving execution across both VLSI and software groups, ensuring smooth delivery, operational efficiency, and risk control for complex cross-functional projects.
Responsibilities:
Drive project planning, execution, and delivery across ASIC, VLSI, and SW domains.
Create and maintain project schedules, milestones, and deliverables.
Facilitate regular project reviews, stand-ups, and cross-functional syncs.
Track risks, dependencies, and blockers, escalating when necessary.
Partner with engineering leads to optimize workflows and resource allocation.
Manage inventory, procurement, and technical operations relevant to hardware projects.
Generate dashboards, reports, and KPIs to track project health and communicate to management.
Support continuous improvement in project management processes, tools, and methodologies.

We're a SaaS company building software for the Intelligence agencies. Our platform helps analysts process and analyse videos at scale to detect threats for national security. The team is small, focused, and moves fast.

The role

You'll be the person who brings clarity and structure to how we build. Your job is to make everyone's life easier-engineers, designers, clients, and leadership-by ensuring priorities are clear, requirements are well-defined, and problems are spotted before they become blockers.

You'll work closely with a team of 5 engineers and report directly to the CTO. You're not here to dictate what gets built; you're here to make sure what we decide to build gets built well, on time, and for the right reasons.

This isn't a role where you write tickets and hand them off. You'll be in the thinking process from the very beginning, down to the details-scoping features, making trade-offs, anticipating problems before they surface, and ensuring we're always working on what matters most.

What you'll do

Define product priorities and roadmap in collaboration with the founders
Translate client needs and business objectives into clear, actionable requirements
Manage multiple projects in parallel without letting things slip through the cracks
Work across the full stack of roles: clients, engineers, designers, data specialists
Make smart trade-offs: identify the 20% of effort that delivers 80% of value
Anticipate risks and blockers; address them before they become problems
Own documentation: specs, user stories, release notes, client-facing materials