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Were looking for a talented Applied Algorithms & Operational Researcher to join our innovative team. As a member of our team, you will be responsible for analyzing extensive data, developing new metrics for our customers' vast data sets, and creating tools to classify and analyze the data effectively.

Responsibilities
Conduct comprehensive performance analysis of automotive radar systems, including data collection, processing, and interpretation. Evaluate system performance in various scenarios.
Develop and implement algorithms and tools to process and analyze radar data. Extract relevant performance metrics and provide meaningful insights into system behavior and limitations.
Collaborate with the development team to identify areas for improvement and optimization.
Conduct radar system performance tests and validation procedures. Create test plans, define test cases, and analyze results to ensure system performance meets specified requirements. Identify potential issues, troubleshoot problems, and propose solutions.
Create concise reports, technical documents, and presentations summarizing performance analysis results and recommendations. Effectively communicate findings to cross-functional teams, including engineers, managers, and other stakeholders. Contribute to product documentation and technical specifications.

We are leading a RADAR REVOLUTION, driving a zero-road-fatality reality by enabling truly safe driver-assist systems and paving the way for a fully autonomous-driving future. We are looking for a Customer Support Manager to join our business group. In this role, you will lead our customer-facing technical organization, ensuring successful adoption, integration, and long-term satisfaction of customers using our products. The role combines team leadership, technical oversight, and program governance to deliver a complete whole product solution at scale.

Responsibilities
Lead and manage a team of Application Engineers from different technical disciplines (HW, SW, System).
Own overall customer success across multiple accounts, acting as an escalation point for complex technical and program issues.
Drive high-quality technical support, system integration, and validation activities.
Define and scale support processes, tools, and best practices to support growing customer base.
Ensure delivery of a complete solution (product, documentation, tools, training, and support).
Collect, prioritize, and represent customer feedback to Product and R&D.
Collaborate closely with R&D, Product, Sales, and Operations to align on customer needs and company goals.
Build strong customer relationships and ensure high levels of satisfaction.

we are pioneering the future of Product Security with the first AI Security Architect. As AI transforms how software gets built, were reshaping how it gets secured, shifting security to the design phase, where the biggest impact is made.
Backed by top-tier investors and already trusted by Fortune 500s, we are defining a new category and setting the standard for how AI will power the next generation of secure software development.
At our company, we are pioneering the integration of AI and cybersecurity to empower product security teams. As a Senior Back End Engineer, you will play a crucial role in designing, building, and optimizing the core backend systems that power our advanced AI-driven security tools. Your work will be instrumental in ensuring that our platforms are scalable, secure, and efficient, enabling our AI engines to process vast amounts of data, assess risks, and deliver actionable insights.
What you will do:
Design, develop, and maintain robust and scalable backend systems to support our company's AI-driven security tools
Collaborate with the AI, front-end, and product teams to integrate backend services with AI models and data processing pipelines
Optimize the performance and reliability of backend services, ensuring low latency and high availability
Implement and manage APIs that facilitate seamless integration with external systems and internal components
Ensure that backend architecture adheres to security best practices, safeguarding sensitive data and maintaining compliance with industry standards
Monitor, debug, and resolve any issues in the production environment to maintain system health and uptime.

We are currently seeking a skilled Algorithm/Signal Processing Engineer to join our R&D team and drive the development of advanced algorithms, perform in-depth signal analysis, and contribute to cutting-edge defense technologies.

Job Description:
The CTO team is tasked with promoting innovative next gen algorithms and sub-systems to meet current and future challenges.

In this role, you will lead R&D initiatives focused on RF Spectrum Detection and Jamming of Drones and communication devices.

Activities include Research, python/matlab simulations, fixed point modeling, Interaction with HW group and RF testing, Proof of concept, field-testing.

This role combines technical leadership, multidisciplinary system integration, automation development, and hands-on problem solving in complex RF-based environments. The position includes managing several engineering teams and leading critical integration, validation, and delivery activities for advanced operational systems.

Responsibilities include:
Leading and managing Integration and ATE engineering teams.
Driving integration and validation of complex multidisciplinary systems.
Leading troubleshooting, root-cause analysis, and system-level investigations.
Designing and developing automated testing and calibration solutions.
Planning and executing regression, validation, and performance-testing processes.
Conducting POCs, field trials, and operational system evaluations.
Collaborating closely with hardware, software, manufacturing, and operations teams.
Supporting products throughout the full lifecycle - from development to delivery.

We are looking for a Data Products Engineer to take full ownership of our companys internal product suite - the full-stack applications, AI agent tools, and automation pipelines that power teams across the entire company every day. You will step into an established ecosystem and take the reins. Your mission is to maintain, evolve, and build the next generation of these internal tools so every department can move faster and make smarter, data-driven decisions.
Reporting directly to the VP of CS & Data, this is a high-autonomy, tech-lead role. You wont just write code; you will make architectural decisions, solve complex domain challenges with smart software, and shape how the entire company interacts with data.
How will your day-to-day look?
Own the Internal Product Suite: Lead the development of our core full-stack applications. You will build and scale the central platforms and dashboards that give Product, CS, Sales, and executive leadership visibility into product usage, account health, business performance and more.
Advance the Internal AI Layer: Design, deploy, and refine custom agentic AI workflows - enabling teams across the organization to query complex B2B and product data naturally and conversationally.
Engineer Smart Automations: Architect workflow automations and custom APIs that pipe downstream data directly into the operational tools our teams use every day.
Bridge Data and Software: Partner seamlessly with Data Ops and Data Analysts to transform raw data models into highly usable, intuitive user interfaces and automated actions.
Run the Infrastructure: Own the end-to-end DevOps lifecycle for our internal applications, managing deployment, containerization, observability, and CI/CD pipelines.
Drive Technical Strategy: Act as the technical anchor for internal tools. You will translate high-level product and business challenges from company leaders into shipped, reliable software.

Join our R&D team and take part in developing advanced LTE/5G cellular monitoring and spectrum-analysis technologies.
The role combines software development, protocol research, RF analysis, and real-world system integration in both lab and field environments.

Responsibilities include:
Development in C/C++, Python, and Bash.
Research and analysis of LTE/5G cellular protocols and RF behavior.
Building monitoring, detection, and automation tools.
Analyzing protocol data, logs, and software code.
Working with databases and query languages.
Collaborating with multidisciplinary R&D teams and participating in field activities.
Turning complex RF and protocol information into operational insights.

Required Senior Machine Learning Engineer, Foundational Models and Agentic systems
Company Overview:
We are the global financial technology platform that powers prosperity for the people and communities we serve. With tens of millions of customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Join the innovative Generative AI group, to help build the next generation of awesome products and experiences using cutting-edge technology.
If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for elegant, state of the art technology which drives impact and creates awesome user experiences, this is the job for you.
You will collaborate with many teams and contribute to many components in different business units. We love engineers who lead the change, communicate with customers, and deliver the most beautiful and intuitive applications.
In this role, youll:
Be part of a vibrant team of Data Scientists and ML Engineers
Be expected to help code, optimize, and deploy GenAI models at scale, using the latest industry tools and techniques
Help automate, deliver, monitor, and improve GenAI solutions
Responsibilities:
Design and build systems, which improve Generative AI inference, quantization, optimization, finetuning, and evaluation
Work cross-functionally with product managers, data scientists, and engineers to understand, implement, refine, and design Generative AI models
Effectively communicate results to peers and leaders
Explore the state-of-the-art technologies and apply them to deliver customer benefits.
Interact with a variety of data sources, working closely with peers and partners to refine features from the underlying data and build end-to-end pipelines.

Were seeking a talented Business Analyst to join our team. Using your analytical skills and curiosity, you will collaborate with other teams to uncover impactful insights, playing a vital role in contributing to our overall success. (2+ years Business Analyst from online gaming industry is a must)?
Responsibilities:



* Analyze large, complex data sets representing the behavior of millions of online and mobile game players to address strategic and operational business questions
* Plan, create & implement day-to-day events and promotions strategies based on users' behavior analysis.
* Provide actionable recommendations and conclusions from game data to shape features, game economies and future product roadmaps
* Work closely with internal departments to drive insights that will help produce better insights that will drive towards monetization and retention improvements
* Build automated dashboards and reports to facilitate company-wide awareness and understanding of key business metrics and players' experience. #LI-Onsite

We are seeking a highly skilled and analytical Senior Data Engineer to join our Data team. In this role, you will design and implement robust data pipelines, while uniquely bridging the gap between engineering and analytics by actively analyzing data to extract actionable insights. You will play a crucial part in architecting our data foundations to support everything from business intelligence to advanced machine learning and agentic AI pipelines.
As a Senior Data Engineer, you will collaborate closely with engineering teams, product managers, and stakeholders across the organization. You will not only build the infrastructure utilizing modern data stack tools but also act as a data analyst when needed, ensuring our systems are fully equipped to operate within and support a cutting-edge agentic AI environment.
Responsibilities
Design, build, and maintain highly scalable ELT/ETL data pipelines.
Architect and manage modern cloud data warehousing solutions.
Develop, maintain, and monitor Python services responsible for robust data collection and ingestion.
Perform hands-on data analysis to interpret complex datasets, identify trends, and deliver business insights, acting in a dual capacity as a Data Analyst.
Develop and optimize data infrastructure specifically designed to support autonomous agentic workflows and LLM integrations.
Collaborate with engineers and analysts to troubleshoot data issues, enforce quality SLAs, and define data requirements.
Document data architecture, flow, and analytics standards for internal team alignment.
Build and maintain dashboards and reports to communicate analytical findings and data health to the organization.
Maintain Kafka consumer applications that process high-volume event streams in real-time, ensuring reliable ingestion into cloud databases.

We are seeking an experienced and passionate Senior Software Engineer to join our core engineering team. In this role, you will design, build, and scale high-performance backend services that power our enterprise Agentic AI platform. You will tackle complex technical challenges, architect robust systems, and work on cutting-edge features that seamlessly integrate AI agents into enterprise workflows.
As a Senior Software Engineer at our company, you will collaborate closely with product managers, and cross-functional engineering teams. You will take full ownership of end-to-end feature delivery from initial system design and API definition to production monitoring and optimization - ensuring our platform maintains top-tier reliability, security, and execution velocity.
Responsibilities
Design, architect, and maintain highly scalable, high-throughput backend services and distributed systems.
Take end-to-end ownership of features and projects, driving them from technical design through to deployment and monitoring.
Build and optimize core APIs and integration layers.
Write clean, testable, and maintainable code, adhering to software engineering best practices (CI/CD, code reviews, automated testing).
Drive architectural decisions, lead technical design discussions, and advocate for system performance and scalability improvements.
Troubleshoot and resolve complex production issues, ensuring high system availability and low latency.
Mentor and guide junior and mid-level software engineers, driving engineering excellence across the team.

We're looking for a Senior AI Engineer to design, build, and ship production-grade LLM agents that reason over workforce and skills data on top of Loomra's semantic layer. You won't just prototype - you'll own agent workflows end to end, from design through evaluation, deployment into the tools employees use daily (Teams, Slack, Copilot), and iteration in front of enterprise customers. You'll work alongside product, data, and platform engineers to turn powerful capabilities into reliable, safe, and fast product experiences.
If you've built agents that actually made it to production - and you care as much about evaluation, guardrails, and reliability as you do about capability - we want to talk to you.
Responsibilities
Design and build multi-agent systems and orchestration - intent routing, planning, tool use, and coordination across specialized agents.
Implement retrieval and RAG pipelines over structured and unstructured workforce data, grounded in our knowledge graph connecting people, jobs, and skills.
Integrate LLMs with tool/function calling and protocols such as MCP to give agents controlled access to HCM systems, business logic, and workflows.
Build evaluation harnesses, guardrails, and safety/bias checks, and work within the governance engine so agents behave reliably, respect customer policies, and produce a full audit trail.
Ship agents in a model-agnostic way across providers (Anthropic, Google, IBM watsonx) and deploy them into Teams, Slack, and Copilot.
Optimize agents for latency, cost, and reliability at enterprise scale.
Take agents from prototype to production - with monitoring, observability, and a fast iteration loop.
Partner closely with product, data, and platform teams to translate customer needs into agent capabilities.