Top Tech Jobs & Startup Jobs in Boston, MA

YesterdaySaved
Hybrid
Burlington, MA, USA
125K-160K Annually
Mid level
125K-160K Annually
Mid level
Aerospace • Artificial Intelligence • Cloud • Software
Build and scale high-performance platform software for AI-driven radar systems across edge and cloud. Implement C++, Go, and Python components, distributed services, APIs, and deployment tooling; improve performance, reliability, and observability; collaborate with AI and embedded teams and mentor junior engineers.
Top Skills: Ai/Ml PlatformsAPIsC++Ci/CdDistributed SystemsDockerEdge ComputingEmbedded SystemsGoInfrastructure-As-CodeKubernetesLinuxNetworkingPython
YesterdaySaved
Hybrid
Burlington, MA, USA
145K-180K Annually
Mid level
145K-180K Annually
Mid level
Aerospace • Artificial Intelligence • Cloud • Software
Design, build, and operate scalable data platforms and pipelines ingesting radar sensor data. Implement ingestion, transformation, enrichment, aggregation, and publishing workflows across relational, NoSQL, time-series, and lake/warehouse systems. Optimize PostgreSQL performance, ensure data quality, observability, and collaborate with engineering, product, and infrastructure teams to enable AI and analytics.
Top Skills: C++Data LakeData WarehouseGoIn-Memory DatabasesNoSQLPostgresPythonTime-Series Databases
YesterdaySaved
Hybrid
Burlington, MA, USA
150K-185K Annually
Mid level
150K-185K Annually
Mid level
Aerospace • Artificial Intelligence • Cloud • Software
Build and optimize production embedded software in C/C++ for resource-constrained edge platforms. Deploy and profile AI/ML applications, work with Yocto/Linux kernel, integrate models with data science teams, and participate in architecture, testing, and performance tuning.
Top Skills: CC++CudaEdge AcceleratorsEmbedded LinuxGoGpusLinux KernelNpusNvidia JetsonOnnx RuntimePythonPyTorchTensorflow LiteTensorrtYocto
YesterdaySaved
Hybrid
Burlington, MA, USA
165K-200K Annually
Mid level
165K-200K Annually
Mid level
Aerospace • Artificial Intelligence • Cloud • Software
Implement and productionize ML research into performant C++ and Python systems, build ML infrastructure and training pipelines, design LLM/agent applications, and deploy AI workloads across edge, near-edge, and cloud environments while collaborating with data science and engineering teams.
Top Skills: C++Python
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