A Staff Software Engineer will lead the design and development of high-performance applications orchestrating fleets of autonomous mobile robots within automated warehouse environments.
Compensation
The base range for this position in the posted location is $149,000.00 - $204,600.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience.
Responsibilities
Build real-time, high-performance software for managing fleets of mobile robots.
Analyze fleet performance and contribute to projects aimed at improving key business metrics, customer requirements, and company KPIs.
Develop high-quality, robust software in a fast-paced, dynamic environment.
Mentor junior engineers and lead technical efforts across projects.
Identify and address root causes of software performance issues.
Lead the next‑generation architecture of the market data and execution platforms for Flow Traders’ systematic trading operations.
Compensation
Per NYC salary transparency law, the total compensation for this role includes a base range of $225,000 to $300,000 plus annual discretionary variable remuneration.
Responsibilities
Lead the development and global rollout of our Core market data platform used across multiple focus areas
Design and implement high‑performance components for market data ingestion, normalization, and distribution, as well as its usage for order execution and strategy infrastructure
Develop tools and frameworks that enable quants and technical traders to build, tune, and deploy data‑driven systematic pricing and trading strategies
Own the full lifecycle of your components in a fast‑paced, iterative environment: deploy, monitor, profile, and optimize your code in production
Work closely with focus group engineers, quants, and technical traders to refine requirements, collect feedback, and iterate on the platform's design and implementation
Requirements
BSc, MSc, or PhD in Computer Science, Mathematics, or a related field
As an Mobile Engineer II-iOS on the Modern Checkout team, you develop and maintain high-performance iOS applications using Swift and SwiftUI.
Compensation
The total cash range for this position in Seattle is $119,000.00 to $166,500.00. Employees in this role have the potential to increase their pay up to $190,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Responsibilities
Develop and maintain engaging, high-performance iOS applications used by millions of people, using Swift and SwiftUI
Work with a modern, server-driven UI framework that delivers rapid updates to users
Integrate mobile applications with GraphQL backend services
Work with top-tier AI tools to automate away the boring parts of the work
Collaborate with cross-functional teams—including product, design, and backend engineers
Requirements
Bachelor’s degree in Computer Science or related technical field; or equivalent related professional experience
Nice to have: App Store submission and release processes
Nice to have: GraphQL APIs
Nice to have: server-driven UI frameworks
Nice to have: AI-assisted development environments
Lead the development and global rollout of our Core market data platform used across multiple focus areas (Market data, Research engineering, Pricing, Strategies).
Compensation
Per NYC salary transparency law, the total compensation for this role includes a base range of $225,000 to $300,000 plus annual discretionary variable remuneration.
Responsibilities
Lead the development and global rollout of our Core market data platform used across multiple focus areas (Market data, Research engineering, Pricing, Strategies).
Design and implement high‑performance components for market data ingestion, normalization, and distribution, as well as its usage for order execution and strategy infrastructure.
Develop tools and frameworks that enable quants and technical traders to build, tune, and deploy data‑driven systematic pricing and trading strategies.
Own the full lifecycle of your components in a fast‑paced, iterative environment: deploy, monitor, profile, and optimize your code in production.
Work closely with focus group engineers, quants, and technical traders to refine requirements, collect feedback, and iterate on the platform's design and implementation.
Design, architect, and build intelligent software applications, agentic workflows, and production-ready LLM integrations across our product ecosystem.
Compensation
$153,700.00 - $248,600.00/yr
Responsibilities
Architect AI-Driven Systems: Design and build production-grade software applications, agentic workflows, and custom LLM integrations using Python, TypeScript, or Go.
Engineer Autonomous Agents: Develop intelligent, self-executing software agents to automate complex operational tasks, drift detection, and application workflows.
Integrate Predictive Analytics: Leverage predictive machine learning models to analyze application performance, system behavior, and operational spend patterns in real time.
Build Next-Gen Observability & Security Tools: Implement intelligent observability frameworks and AI-driven automation for automated auditing and code/vulnerability patching via LLM interfaces.
Bridge AI & Platform Architecture: Partner closely with Core AI/ML teams to translate frontier models into high-availability, high-throughput software services.
The Senior Software Engineer will design, develop, and maintain scalable, reliable software solutions that automate complex network operations, provisioning, and management of large-scale telecommunications network infrastructure.
Compensation
Estimated base salary range: $112,800 - $173,600 USD/annually.
Responsibilities
Design, develop, test, and maintain Python-based applications and microservices supporting network automation and orchestration.
Build and integrate gRPC-based services using Protocol Buffers to define strongly typed APIs and service contracts.
Design scalable, maintainable software architectures that support complex network provisioning and lifecycle management workflows.
Develop reusable software components, libraries, and APIs that integrate with internal systems and network infrastructure.
Write clean, efficient, well-documented, and thoroughly tested code following modern software engineering best practices.
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