Top Software Engineer Jobs

As a Backend/AI Engineer, you'll integrate LLMs, optimize document processing pipelines, and improve API design for document understanding tasks.

Build and maintain backend services and APIs powering LangSmith’s AI observability, tracing, monitoring, and evaluation workflows. Design scalable architectures, optimize storage and query performance for high-volume data, ensure reliability through testing and monitoring, troubleshoot production issues, and collaborate with cross-functional teams on new features and technical documentation.

Build automation for NVIDIA switches and InfiniBand fabrics, including configuration management, drift reconciliation, NAT gateways, L4 load balancing, and resilient network control loops. Define large-scale network behavior around BGP, convergence, failover, and production failures. Lead technical direction, design standards, and customer deployments while writing production software in Go or Python for AI infrastructure.

Design and optimize high-performance AI compute kernels for GEMM, attention, normalization, convolution, and related primitives. Improve throughput, latency, memory behavior, and precision across heterogeneous hardware. Integrate kernels with Triton and PyTorch, profile workloads using performance tools, evaluate mixed-precision formats, and collaborate with compiler, runtime, and hardware teams on ISA and memory architecture co-design.

Designs and delivers customer-facing API integrations, ETL pipelines, webhook automations, and AI-assisted workflows for nonprofit organizations. Owns discovery, architecture, development, testing, deployment, documentation, monitoring, and iteration. Productizes repeatable solutions into scalable service offerings, collaborates with Sales, Customer Success, and Product, and contributes to scoping, pricing, revenue reporting, and product feedback.

Build and deliver enterprise integrations connecting AI solutions with tax and audit products, ERP systems, document platforms, and data warehouses. Develop document-processing, retrieval, embedding, and vector-search pipelines; enable AI agents through APIs and MCP; and establish data validation and quality controls. Implement secure authentication, testing, monitoring, deployment patterns, and operational runbooks. Partner with clients and cross-functional engineering, platform, consulting, and reliability teams to deliver reusable, production-ready solutions.

Develop and deploy full-stack software applications using C#/.NET, Tungsten Automation, SaaS, AI/ML, OCR, and generative AI. Build intelligent document-processing workflows, classification and extraction solutions, dashboards, integrations, and custom applications connected to enterprise repositories and systems of record. Perform code migration, testing, CI/CD deployment, production support, version control, change management, and security management across an agile software lifecycle.

Supports economists and research associates with computational research tools, workflows, and software. Responsibilities include optimizing and parallelizing code, enabling on-premises and cloud HPC usage, supporting AI and large language model adoption, developing training curricula, providing consultations, and documenting technical resources. The role also collaborates on research papers and delivers guidance on programming, Linux, version control, job scheduling, cloud computing, and research computing best practices.

Build and deploy AI-powered solutions for heavy-industry customers. Responsibilities include understanding manufacturing, physics, and chemistry problems; analyzing data; developing models; writing frontend and backend code; building infrastructure and automation; rapidly prototyping; and consolidating successful solutions into robust software. The role requires extensive customer-site collaboration, strong communication, comfort with ambiguity, and travel of 25% to 75%.

Supports Linux-based software delivery pipelines, development environments, AI engineering initiatives, and security improvement projects. Assists with Linux and Elixir development, vulnerability remediation, security tooling, automation, and software quality practices while collaborating with experienced engineers.

Build and ship software across Aurelian’s AI call-handling, dispatcher tools, analytics, and integrations. Engineers own product outcomes end to end by speaking with customers, identifying problems, defining roadmaps, prioritizing work, and iterating on solutions. The role involves full-stack development, customer visits to 911 dispatch centers, and close ownership of product decisions and delivery.

Leads the architecture, development, and deployment of physics-based modeling and simulation algorithms for e-beam semiconductor inspection systems. Develops SEM image formation, electron-beam interaction, and voltage-contrast technologies; integrates physics-based methods with computer vision and AI; translates physical phenomena into production software; influences technical roadmaps; and mentors junior engineers. Requires a PhD, 8+ years of experience, strong C++/CUDA/Python skills, and semiconductor experience preferred.

Build and scale backend platforms, orchestration systems, and user-facing capabilities powering Microsoft 365 Copilot. Collaborate with applied scientists and engineers to deliver scalable AI features, define architectures, create implementation plans, ensure robust testing, and improve engineering practices. Work spans enterprise-scale AI infrastructure, multimodal and agentic interactions, model capabilities, and production-ready intelligent systems.

Provides expert technical support for Zebra Android mobile computing products, debugging AOSP Framework, BSP, Telephony, RIL, and cellular modem issues. Analyzes logs and network traffic, resolves interoperability and performance problems with carriers and chipset vendors, and collaborates with customers and internal teams. Develops AI-driven diagnostic and workflow automation tools, documents solutions, mentors support engineers, and contributes to product improvements.

Design and implement software, automation, or AI-driven solutions that improve engineering workflows, reduce manual effort, and enhance customer outcomes. Responsibilities include analyzing data across systems, collaborating with engineers, developing and testing solutions, documenting implementations, measuring project impact, and presenting results to leadership. The internship is based in Mayfield Heights, Ohio, with potential part-time remote work during the school year.

Develops, validates, documents, and maintains R programs, packages, Bash utilities, Linux tools, and statistical analysis datasets for clinical research. Translates SAS programs into R, supports metadata repositories and CDISC standards, troubleshoots complex programming issues, trains researchers, mentors programmers, and collaborates with statisticians, epidemiologists, clinicians, and data managers. The role also contributes to programming standards, artificial intelligence applications, presentations, recruitment, and research network initiatives.

Build and operate production backend services supporting Supabase AI products, including the MCP server. Responsibilities include service architecture, deployments, scaling, authentication and authorization, observability, reliability targets, on-call incident response, rate limiting, capacity management, and API evolution. The role requires strong TypeScript or Go skills, production backend experience, distributed-systems debugging, and collaboration with Platform and SRE teams in a fully remote environment.

Build and scale optimization and backend systems for public transportation planning and scheduling products. Own features from concept through production, improve performance and reliability, collaborate with designers, data scientists, researchers, product managers, transit planners, and customers, and contribute to engineering architecture, best practices, tooling, and code quality. The role involves computationally hard systems, geospatial computation, machine learning, and AI.

Supports and enhances ATIS/ATMS systems for a 24/7 transportation management center. Develops Python and Java applications, web tools, APIs, dashboards, reports, database solutions, automation, and integrations. Maintains applications across Windows and Linux environments, troubleshoots operational issues, manages deployments and documentation, and supports system improvements involving analytics, AI, GIS, and ITS technologies. Provides technical guidance, training, and coordination with transportation personnel, vendors, and engineering teams.

Principal Software Engineer leading architecture and technical strategy for an in-vehicle AI assistant platform. The role spans Android Automotive client applications, cloud services, edge-cloud orchestration, conversational AI, gRPC, streaming interfaces, testing, telemetry, and distributed systems. Responsibilities include cross-functional architectural alignment, roadmap development, resolving complex reliability and privacy trade-offs, integrating AI frameworks, and mentoring senior engineering teams.

Develop HPC and AI software workflows for experimental data processing, imaging, plasma, high-energy physics, and materials simulations. Profile applications, benchmark performance, identify bottlenecks, and advise collaborators and product teams. Build tutorial examples, translate research into software tools, and represent NVIDIA at scientific conferences and industry events.

Leads the design, development, and deployment of scalable, reliable software and infrastructure solutions. Builds AI agents, automation workflows, observability integrations, and monitoring systems using technologies including C++, Python, Java, Claude, Codex, BigPanda, ITMP, and Prometheus. Collaborates across teams, drives engineering standards, mentors junior engineers, and manages complex end-to-end projects.

Design and develop next-generation scale-up networking fabrics for AI data centers. Lead collaborative development across hardware, software, and applications to improve scalability, reliability, and robustness for large-model training. Create innovative concepts through production implementation, collaborate with cross-functional teams, and lead complex projects delivering large-scale networking and AI solutions.

Architects and delivers enterprise integration and API platforms using event-driven, asynchronous, cloud, and AI-augmented workflows. Develops reusable frameworks across SAP, SaaS, and partner ecosystems; governs APIs; integrates EDI, REST, GraphQL, and SOAP systems; and builds autonomous, self-monitoring and self-healing workflows. The role also requires programming, identity and access control expertise, CI/CD automation, observability, and close collaboration with Product and Engineering teams.

Design and implement GPU performance profiling tools focused on AI applications. Build features used by CUDA developers, collaborate with NVIDIA compiler and CUDA driver teams, and influence tool design. The role requires strong C++ software engineering experience, GPU hardware knowledge, and familiarity with performance tools, with preferred expertise in CUDA kernel programming, profiling, and DWARF parsing.