Senior Software Engineer role focused on fraud rules engine development and platform modernization. You'll write and improve fraud detection rules, drive implementation best practices, and utilize Java, Python, or Go for platform enhancements. The role includes managing large-scale migrations, applying AI/LLM technologies to fraud detection, and working with relational and NoSQL databases in a loosely coupled, stateless architecture.
Own CI, build, and release infrastructure for AI software products (ONNX Runtime, ExecuTorch, TFLite/LiteRT delegates) across Linux, Windows, and Android. Design and evolve multi-platform CI pipelines, implement HIL and on-device automated testing for Snapdragon SoC validation, and drive end-to-end release pipelines with versioning, artifact packaging, and distribution. Define automated quality gates including regression benchmarks and performance thresholds. Requires 8+ years of software/DevOps/release engineering experience (or 6+ with a Master's), expert Python and Bash scripting, deep CI/CD platform expertise (Jenkins, GitLab CI, GitHub Actions, TeamCity), and hands-on experience integrating AI coding agents into workflows.
Conduct cutting-edge research in efficient generative AI, including LLMs, multi-modal foundation models, LLM reasoning, reinforcement learning, and agentic AI. Lead high-impact research initiatives and develop production-ready solutions with real-world commercial impact, with a focus on on-device deployment challenges. Implement and evaluate solutions in both simulation and on-device environments, and publish findings in top-tier AI/ML conferences. Requires a Master's degree and 2+ years of experience (or PhD), with proven research excellence, deep expertise in generative AI and reinforcement learning, and hands-on experience with model development pipelines including training, fine-tuning, evaluation, and optimization.
Senior Software Engineer with 10+ years of experience to develop advanced algorithms and software applications using C++, Python, MATLAB, and TensorFlow in Linux environments. The role involves designing object-oriented software, prototyping AI/ML solutions, utilizing DevOps tools (GitLab, Docker, Podman), troubleshooting complex systems, and providing technical leadership to customers and internal teams. Strong mathematical foundation in probability, statistics, estimation theory, and machine learning is required to support algorithm development in a defense technology context.
Clearance RequiredDesign, develop, customize, and maintain websites built on the .NET framework in an AWS cloud environment. Gather requirements from users, write unit and integration tests, troubleshoot system-level issues independently, and create technical documentation. Requires 3+ years of web development experience with .NET, C#, JavaScript, WebAPI.NET, HTML, CSS, GitHub, IIS, SQL/MySQL, and AWS services including Glue Jobs and S3.
Build and maintain AWS cloud infrastructure (EC2, VPCs, security groups, storage) using Infrastructure as Code with CloudFormation. Operate Kubernetes/OpenShift container platforms and manage application lifecycle. Support web application stacks (React, Node.js, PostgreSQL) and implement authentication via OpenID Connect, SAML, and LDAP/AD. Monitor systems using CloudWatch and distributed tracing tools.
Clearance Required