div>This range reflects the employer’s good-faith estimate of the base salary it reasonably expects to pay for the position at the time of posting. At JetBrains, we’re building Air, an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system.
As an interdisciplinary group with blended differences, we innovate by drawing insights from computer science, software engineering, data engineering, data science, artificial intelligence/machine learning, electrical engineering, mathematics, statistics, physics, and allied technical fields. This includes developing automation for configuration and deployment of the software services to AWS and ESX environments using containers and Ansible, and including infrastructure configuration with Terraform.
Newton, Massachusetts22 days ago
Must possess a minimum of two (2) years of experience with each of the following: Python, C/C++, Qt QML, and Linux Operating System; Computer graphics, OpenGL, GLSL, real-time rendering software development and optimization in both 2D and 3D contexts; Scaling, capturing, recording, and displaying user interfaces on varied settings using QML, OpenGL, and multimedia frameworks such as ffmpeg; Analyzing json and HDF5 data for storage, replay, and software defect investigations. Master’s degree in Computer Science or Software Engineering or related technical or engineering field and two (2) years of experience as a software engineer or related occupation; Or Bachelor’s degree in Computer Science or Software Engineering or related technical or engineering field and four (4) years of experience as a software engineer or related occupation.
Must possess a minimum of two (2) years of experience with each of the following: Python, C/C++, Qt QML, and Linux Operating System; Computer graphics, OpenGL, GLSL, real-time rendering software development and optimization in both 2D and 3D contexts; Scaling, capturing, recording, and displaying user interfaces on varied settings using QML, OpenGL, and multimedia frameworks such as ffmpeg; Analyzing json and HDF5 data for storage, replay, and software defect investigations. Basic Qualifications:
Master's degree in Computer Science or Software Engineering or related technical or engineering field and two (2) years of experience as a software engineer or related occupation; Or Bachelor's degree in Computer Science or Software Engineering or related technical or engineering field and four (4) years of experience as a software engineer or related occupation.
This position is focused on the design, development, and optimization of deterministic, high reliability control software integrating complex electromechanical subsystems such as motion, robotics, vacuum, power delivery, gas handling, and safety systems. Lead system integration efforts, combining early‑stage architectural exploration with production‑grade implementation across hardware, software, process, and systems engineering to define control strategies, interfaces, and performance objectives.
By removing the barriers that have kept advanced robotics out of reach for all but the largest players, we're ushering in a new era of manufacturing—one where mass reshoring is not only viable, but inevitable. This includes CI/CD infrastructure, developer tooling, build environments, test automation infrastructure, and internal compute systems used by robotics and software teams.
Wilmington, MA30+ days ago
p>This role is within the global Developer Experience (DevEx) team, specifically the Model Developer Experience (MDX) sub-team - whose mission is to deliver world-class infrastructure and platforms that enable AI builders across ADI to move faster, with confidence, and at scale. You will help lead cross-team initiatives that elevate AI developer experience and infrastructure capabilities org-wide, translate emerging business needs into scalable platform strategies, and mentor engineers in shaping the future of AI infrastructure at scale.
p>This role requires a practitioner who has operated inside or directly alongside engineering and product organizations-someone who has personally led SDLC transformations, managed engineering teams, governed AI coding tool rollouts, or run DevOps programs at scale-and who can translate that hands-on operating experience into rapid, credible impact within the compressed timelines of a PE holding period. Govern LLMOps at enterprise scale: RAG pipeline architecture and optimization (chunking strategies, embedding models, vector database selection-Pinecone, Weaviate, Qdrant, pgvector), prompt versioning, evaluation frameworks (RAGAS, LangSmith, Phoenix), and inference cost governance.
In this highly strategic business development role, you will work directly with Arm's ecosystem partners, cloud providers, ISVs, system integrators, OEMs, enterprise software vendors, and hyperscalers to accelerate adoption of Arm-based solutions across priority workloads and market segments. Rather than carrying direct revenue ownership, this role is focused on creating the conditions for adoption: aligning partners, shaping migration plans, removing ecosystem friction, building executive sponsorship, and helping customers and partners see a clear path from interest to scaled deployment.
USA Andover, Massachusetts22 days ago
You will work across embedded software, real-time systems, hardware interfaces, and functional safety disciplines to help ensure reliable and compliant operation of complex robotic platforms. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency.