Top Software Engineer Jobs

Develop and maintain high-frequency trading systems, implement optimized production code from quantitative prototypes, and contribute to data pipelines, simulators, backtesting, and monitoring software. Interns may rotate across quantitative research and development tracks involving statistical arbitrage and market-making strategies for commodities and digital assets. The role includes collaboration with infrastructure teams, quants, and traders, plus coding assessments and quantitative interviews.

Design, develop, test, debug, and maintain Windows desktop applications and system software using C/C++, Qt, and C#/.NET. Integrate software with hardware, instruments, sensors, and external systems through communication interfaces. Participate in requirements analysis, architecture, code reviews, unit testing, deployment, maintenance, and performance tuning while collaborating with software, hardware, QA, and product teams.

Build and maintain automated business workflows using Zoho Creator, Zoho Flow, n8n, APIs, webhooks, and scripting. Develop custom applications, integrations, Deluge scripts, JavaScript, HTML/CSS, Node.js or Python solutions, and data-processing automations. Monitor and troubleshoot workflows, maintain data consistency and security, document solutions, create process diagrams and training materials, and collaborate with technical and nontechnical stakeholders while learning under senior supervision.

Own end-to-end supplier integrations: design, implement, test, and monitor third-party APIs. Ship weekly, improve tooling and abstractions, ensure reliability, and mentor peers. Use AI-assisted workflows to speed integration development.

Develop end-to-end Python software for U.S. Government space and national security programs. Automate NEI and Space Domain Awareness data pipelines, build APIs and prototypes, productionize orbital mechanics and image-processing capabilities, deploy cloud applications, and enhance platform features and visualizations. Collaborate with international engineering teams, customers, and external partners to translate aerospace capabilities into mission-ready software solutions.

Build scalable simulation and planning systems for complex communications networks. Model hypothetical scenarios, allow users to vary configurations and assumptions, evaluate impacts, compare tradeoffs, identify risks, and integrate simulation capabilities into broader product workflows. The role involves full-stack engineering across design, development, testing, and operations, with emphasis on distributed systems, algorithms, network modeling, and computational reliability.

Provide organization-wide technical leadership for Carlsmed’s personalized spine surgery software platform. Define platform architecture, technical vision, standards, governance, and technology strategy. Guide Node.js microservices, GraphQL federation, React applications, PostgreSQL solutions, APIs, distributed systems, and proof-of-concept initiatives. Mitigate technical risks, lead major architectural decisions, collaborate with senior leadership, and mentor senior engineers and technical leads.

Build and optimize product-led growth systems across Town, including invite and referral flows, conversion funnels, monetization, team expansion, dashboards, experiments, admin controls, and enterprise SSO. The role ships product rapidly, measures growth metrics, improves virality and free-to-paid conversion, and partners cross-functionally with GTM and business teams. This position is based in San Francisco and requires working in person five days per week.

Embed with enterprise trucking fleets to understand operational workflows and rapidly ship production software. Build integrations across telematics, transportation management, and maintenance systems; create agent workflows using complex fleet data; and manage deployments from discovery through production across thousands of trucks. The role requires strong full-stack engineering, logistics expertise, AI-native development proficiency, customer-facing confidence, and end-to-end ownership.

Build and operate AI agent systems with customer engineering teams, helping move prototypes into reliable production systems. Design agents, improve evaluations, monitoring, scaling, and reliability, and train customers on the Mastra framework. Translate recurring customer challenges into open-source framework improvements, fix performance issues, ship new primitives, improve code quality, and influence the product roadmap through production insights.