Software Gigs

Design and build a scalable Fleet Dispatch System for autonomous robotaxis, optimizing real-time mission assignment and route planning. Apply operational research techniques—linear programming, integer programming, stochastic processes, and queuing theory—to solve complex dispatch problems. Develop and integrate optimization algorithms, using simulation models to validate effectiveness. Requires a strong foundation in algorithm development, machine learning, and data analysis, with proficiency in Java or Kotlin.

Qualcomm is seeking a Software Engineer for their Power and Limits management group to develop firmware and software solutions for chipsets across multiple subsystems. The role involves analyzing requirements, designing robust software architectures, performing detailed performance/power analysis, and developing profiling and debugging tools for silicon validation. Candidates will work across system, power, software, and hardware teams to optimize power efficiency, thermal performance, and execution efficiency from pre-silicon through commercialization, with exposure to ARM architecture, real-time operating systems, and machine learning applications.

Lead the entire engineering team at a VC-backed AI trading firm, combining hands-on ML research and model development with technical leadership. Own the end-to-end development of production AI systems deployed in live financial markets, including model design, training, evaluation, and infrastructure. Set technical direction across ML and software engineers, drive hiring and team development, and translate research into measurable real-world trading performance. Require 5–8 years of applied ML/AI experience with 3+ years managing full engineering teams.

As a Security Controls Assessor, you will design, implement, and manage policies and procedures to ensure database and software security while assessing security controls within operational systems (both OT and IT). You will review technical implementations across disparate systems including cloud, hybrid, virtualization, and AI/ML solutions, and communicate findings regarding control implementation and system security impact. This role requires 14+ years of cybersecurity experience, deep knowledge of NIST SP 800-53 and DoD Risk Management Framework, and the ability to work independently on highly complex problems while maintaining professional judgment under pressure.

Design, develop, and deploy end-to-end generative AI solutions including GenAI agents, LLMs, and applications to solve complex business challenges. Build data pipelines, design APIs for AI accessibility, and collaborate with cross-functional teams (developers, data scientists, business) to implement enterprise GenAI solutions. Requires 4+ years of full-stack application development (Java, Python, JavaScript) and 3+ years with data structures, algorithms, and data stores. Stay current with AI research and communicate technical concepts to non-technical stakeholders.

Staff Software Developer who will design, develop, and maintain AI-enabled knowledge management and decision-support platforms for environmental and engineering applications. Responsibilities include building data ingestion workflows, implementing retrieval-augmented generation (RAG) systems with vector embeddings and semantic search, developing backend services and APIs, creating secure web-based UIs, and working with cloud services (Azure AI Search, Blob Storage, PostgreSQL). The role requires strong software development skills demonstrated through a public code portfolio, familiarity with LLMs and prompt engineering, and the ability to collaborate across technical teams to translate project needs into practical features.