Software Gigs

Design and architect next-generation ML inference infrastructure for globally distributed, multi-tenant model serving with high availability, scalability, and cost efficiency. Lead the development of low-latency, high-throughput inference systems supporting computer vision and multimodal models (CNNs, segmentation, object detection) using Scala, Java, and Go. Build large-scale distributed systems with reactive frameworks, integrate enterprise feature stores, and extend CI/CD pipelines (GitHub Prow, Pulumi) with automation and policy enforcement. Design advanced observability frameworks, optimize ML algorithms for performance, mentor engineers, and ensure MLOps and compliance standards (GDPR, SOC2) across the platform.

As a Senior Systems Engineer for Data Center AI at Qualcomm, you will research, develop, optimize, and validate AI/ML solutions that integrate Qualcomm's hardware accelerators with software and ecosystem to deliver high-performance inference in datacenter environments. You will design and deploy Gen AI and LLM applications, implement fine-tuning and distillation techniques, perform model benchmarking, and drive system-level architecture decisions. You will collaborate across functional teams to meet system-level requirements while staying current with advances in AI/ML models and hardware. Required skills include strong Python proficiency, expertise in ML frameworks (PyTorch, TensorFlow), deep understanding of ML deployment and system performance profiling, and experience with parallel computing.

Senior back-end engineer to own and re-architect the payment-terminal platform powering restaurant kiosks, currently spanning 40+ integrations across card-present terminals, processors, and cash automation. You will design a modular, pluggable SDK enabling internal and external developers to build integrations against a stable contract, implement new integrations from wire-level protocols (TLV, BMP, APDU, BCD/LLVAR) up through high-level APIs, and establish platform-wide patterns for payment correctness (idempotency, transaction recovery, reconciliation). Role requires 6+ years back-end engineering with strong Java, Spring, OOP, and distributed-systems design; hands-on work with serial (RS-232/USB-serial via jssc) and USB (usb4java) transports, REST/SOAP/webhook integrations, and PCI-DSS compliance patterns.

Staff Software Engineer leading the design, architecture, and operations of PlayStation's Real-Time Analytics Platform (RTAP), a large-scale distributed data system handling high-throughput, low-latency analytics and stream processing. The role involves architecting and evolving streaming and analytics platforms using Apache Flink, Spark, ClickHouse, and Druid; integrating batch and streaming workloads via lakehouse architectures; and embedding AI capabilities to automate engineering workflows and improve platform reliability. You will own critical platform capabilities end-to-end from design through production operations, mentor engineers, establish technical standards, and influence cross-functional technical strategy across PlayStation's data infrastructure.

Staff Software Engineer leading design and evolution of PlayStation's Real-Time Analytics Platform (RTAP), a large-scale distributed data system handling high-throughput, low-latency analytics and stream processing. Responsibilities include architecting stream processing pipelines, optimizing data services using Apache Flink, Spark, ClickHouse, and Druid, integrating batch and streaming workloads with lakehouse architectures, and building AI-powered capabilities for platform automation. The role requires deep expertise in distributed systems, real-time analytics, and mentoring engineering teams while establishing technical standards and best practices across the organization.

Staff-level engineer designing and operating large-scale distributed data platforms powering real-time analytics across PlayStation. You will lead the architecture and evolution of the Real-Time Analytics Platform (RTAP), own critical capabilities end-to-end from design through production operations, and mentor engineers. Key responsibilities include building and optimizing distributed services using Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid; integrating batch and streaming workloads with lakehouse architectures; and establishing technical standards for distributed systems, stream processing, and data modeling.

Lead the architectural design of server-side, backend, and cloud platform capabilities supporting Dexcom's continuous glucose monitoring products. Collaborate across product, cybersecurity, firmware, data, and mobile teams to translate business and regulatory requirements into secure, scalable, and maintainable platform solutions. Establish architectural direction for distributed services, APIs, data pipelines, event-driven systems, and shared platform capabilities. Guide technology exploration, system integration, performance testing, and serve as an authority for platform architecture principles and modern backend development practices across the organization.

Design, build, and operate cloud-native platform features and services with hands-on engineering focused on Kubernetes, distributed systems, and infrastructure automation. Deliver well-defined work iteratively from implementation through production, contributing to reliability, scalability, and operability through testing, instrumentation, and on-call participation. Collaborate with senior engineers on platform standards while mentoring junior team members. Requires 5+ years of software development experience (or equivalent), production experience with Kubernetes, exposure to at least one major hyperscaler (AWS, Azure, GCP), and proficiency in Go or another systems language.

As a Mission Software Engineer, you will own software solutions deployed to autonomous systems customers, developing capabilities across networking, autonomy, systems integration, and robotics. You'll troubleshoot live deployments, create performance metrics for debugging, and collaborate with multidisciplinary teams and end-users to translate operational needs into mission-ready features. The role requires 3+ years of C++, Python, or Rust experience in Linux environments, with a strong engineering background and ability to navigate complex codebases quickly. You must be a U.S. citizen eligible for security clearance and based in or willing to relocate to San Diego.

Lead Software Engineer managing a team of cloud engineers with technical mentorship, career guidance, and performance management responsibilities. The role involves defining and executing a cloud technical roadmap aligned with business goals, architecting high-availability and scalable systems on Google Cloud Platform, and supporting machine learning workloads and data ingestion at scale. Requires 10+ years of software engineering experience, 3+ years in cloud architecture or distributed systems, and 3+ years of technical leadership.

HII Mission Technologies seeks a mid-level Software Engineer to develop and integrate software for unmanned underwater vehicles, distributed maritime communications, and tactical situational awareness systems. You will design, develop, and test C# applications, build plug-ins for WinTAK, ATAK, and TAK Server, and support MK18 family systems including Hydroid VIP, Neptune, and Coin Nexus. You'll collaborate with cross-functional teams on lab and fleet testing, troubleshoot performance in distributed environments, and contribute to integration testing, validation, verification, and program documentation. The role requires a Secret security clearance and offers a hybrid schedule with 1–2 days onsite per week.

Design, develop, test, and maintain software applications using C# for unmanned maritime systems, including building and integrating plugins for WinTAK, ATAK, and TAK Server environments. Support software development for MK18 family systems and work with cross-functional engineering teams to translate requirements into technical solutions. Troubleshoot and optimize software performance in distributed and tactical environments, participate in code reviews, and support integration testing, validation, and verification activities. Participate in Government and Fleet test events to demonstrate and validate capabilities.

Staff Site Reliability Engineer at SHEIN responsible for operating and evolving large-scale, mission-critical production systems with 24/7/365 on-call participation. Design, build, and maintain observability solutions (metrics, logs, traces, alerting) with AI-powered anomaly detection; own and operate core open-source infrastructure (APISIX, Nginx, Kubernetes, Kafka, Elasticsearch, Redis, Consul, Etcd, Zookeeper). Automate operational workflows, reduce incident frequency and MTTR, and provide technical leadership across global engineering teams. Requires strong software engineering skills, deep Linux/networking/distributed systems expertise, and passion for solving problems at scale.

Lead end-to-end development of AI agents and autonomous engineering tools for Teradata's enterprise platform, managing multiple global engineering teams. Shape engineering strategy for agent platforms, LLM gateways, vector stores, observability frameworks, and low-code/no-code/pro-code agent frameworks. Drive architecture standardization, governance practices, operationalization pipelines, and ROI metrics while partnering with product, architecture, and AI platform teams. Requires 12+ years software engineering experience with 5+ years in technical leadership, hands-on expertise with LLMs, agent frameworks, distributed systems, cloud platforms (AWS, Azure, GCP), and modern CI/CD tools.

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.