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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

Were a startup, post-seed investment - backed by top-tier investors, building powerful tech for some of the worlds most interesting clients.

This is your opportunity to join a top-notch tech solution and have true ownership over something with a massive impact.



You Will

Design, build, and maintain features - end to end
Architect scalable, modern, cloud-native flows
Own web services from design to deployment and monitoring
Collaborate in fast-paced, daily brainstorming with a technical founding team
Our Tech stack spans multi-language, cutting-edge infrastructure and cloud-native systems - all built by a fast-moving team that runs lean and thinks sharp.

Were looking for a sharp, hands-on and innovative Platform / DevOps Engineer who loves turning cloud chaos into clean, scalable systems. If rebuilding core cloud flows from scratch, structuring environments, and optimizing costs excites you - keep reading.

We're a fast-growing startup backed by top-tier investors, building powerful technology for leading clients. We move fast, ship continuously, and operate in production at scale - including dedicated, per-client installations each running a suite of interconnected services. Now we're looking for someone to take ownership of our infrastructure layer and elevate it to the next level.

This is not a maintenance role. This is a builder role.
You Will

Design and implement scalable CI/CD flows
Design and operate a fleet of independent per-client deployments - version tracking, controlled rollouts, drift detection across environments
Standardize and restructure environment & configuration management
Introduce and enforce IaC
Increase deployment reliability and rollback safety
Build the tooling and processes that let us answer, at any moment: what is running on each client, and is it healthy?
Enable developers to ship faster and safer
Help define long-term infrastructure standards