Staff Engineer jobs in Boston, MA

The Staff Design Engineer will design, simulate, and verify new MMIC circuits with a focus on SOI switch development. They will also manage the product development cycle, including layout, foundry interaction, and hands-on lab characterization.

Own the mechanical design and development of mission-critical hardware from concept through high-volume production. Collaborate with cross-functional teams including electrical, RF, and industrial design to ensure robust, production-ready products.

Own the architecture, development, and maintenance of real-time I/O software and telemetry systems connecting avionics, hardware-in-the-loop environments, simulation models, and flight-test systems. Build and deploy embedded Linux and Rust services, integrate aircraft interfaces, enable data recording and replay, and collaborate with engineering teams to test and troubleshoot aircraft systems.

You will set the technical and product direction for the Customer Agent platform, overseeing architecture and production implementation. You will also write code, mentor engineers, and partner with cross-functional leaders to solve complex problems in orchestration and AI reliability.

You will maintain the Linux kernel, drivers, and bootloader while leading board bring-up and system software improvements for ruggedized sensors. Additionally, you will collaborate with cross-functional teams to implement hardware-level security and optimize algorithms for on-device execution.

You will lead the design and architecture of complex backend systems within the Datastore, focusing on data infrastructure, event pipelines, and API development. You will collaborate with cross-functional teams to implement scalable solutions and mentor other engineers to maintain high standards of data integrity and system performance.

The Photonics Technical Lead will engage with a cross-functional team to design and deliver high-volume laser products. This role involves collaborating with various engineering teams to resolve design and manufacturing challenges for innovative laser solutions.

You will design, develop, and implement VoIP infrastructure and observability features to support AI-driven voice workloads. Additionally, you will collaborate with cross-functional teams to ensure platform scalability and mentor colleagues in telecom and AI engineering disciplines.

Design and build network automation and orchestration systems to support global network infrastructure. Lead technical direction for infrastructure software, including integration of DPUs and programmable network hardware.

The role focuses on assessing and mitigating security risks within the virtualization stack by building systematic threat models and frameworks. The engineer will design defense-in-depth mitigations and collaborate with cross-functional teams to implement remediations.

Lead the technical strategy for AI inference optimizations to maximize throughput and minimize latency for large models. You will solve complex bottlenecks in memory bandwidth and compute utilization while guiding the technical roadmap for the high-performance inference fleet.

Drive the verification of complex cache-coherent interconnect subsystems with a focus on CHI protocol behavior and integration. Develop robust verification environments, checkers, and coverage models while partnering with architecture and design teams to ensure system-level quality.

Lead the verification of a next-generation cache-coherent interconnect subsystem for high-performance SoCs. Define verification strategies, develop robust test environments, and collaborate across architecture and RTL teams to ensure protocol correctness and subsystem integration.

Lead the technical direction and architecture for agentic AI systems that process global trade data for real-time decision-making. Drive the full lifecycle of ML solutions, from ingestion and model training to observability and production deployment.

Lead the technical direction and architecture for agentic systems that process global trade data to provide real-time risk and compliance decisions. Build and maintain the end-to-end pipeline from data ingestion to model inference, while mentoring senior engineers and shaping the product roadmap.

Lead the architectural evolution and engineering execution of the [R]AIMS AI platform, balancing rapid delivery with long-term system integrity. Mentor engineers and partner with cross-functional teams to deploy scalable, data-intensive AI/ML production systems.

Lead the architecture and scaling of a modern frontend ecosystem to create critical web visualization tooling for machine learning engineers. Drive cross-team standards and collaborate with UX and data teams to improve autonomous vehicle system feedback loops.

You will lead the design and development of scalable platform components and RESTful APIs while championing AI-driven software development practices. Additionally, you will collaborate with cross-functional teams to define technical requirements and ensure the reliability and performance of the Eclipse platform.

Design and build AI-powered internal systems and the underlying infrastructure to support various business functions. Partner with cross-functional teams to identify workflow problems and establish operational patterns for a growing engineering function.

You will lead the architecture and operation of core AWS infrastructure, including PBX systems, EKS, and secure networking to support real-time AI voice and workflow automation. Additionally, you will drive operational excellence, mentor engineering teams, and modernize developer workflows to ensure high reliability and compliance.

The engineer will design, build, and maintain the Atlas platform while collaborating with software teams to ensure system scalability and reliability. They will also participate in a 24/7 on-call rotation to resolve technical issues and maintain high availability for customer workloads.

You will work on multi-tenant distributed storage systems to ensure reliability, durability, and operational safety for the MongoDB Atlas platform. Responsibilities include building resilient infrastructure, monitoring service health, and participating in a 24/7 on-call rotation.

You will own the systems-level reliability and performance of high-throughput bare-metal and cloud infrastructure. Responsibilities include leading incident response, automating infrastructure lifecycle management, and maintaining high availability across global fleets.