1968 Technology Engineer jobs in Boston,MA

Bachelor of Science Degree in Mechanical Engineering
13+ years of experience in mechanical design
Proficient in the use of industry standard mechanical engineering design tools (SolidWorks, AutoCad, Creo, Ansys, ICEPAK, Mechanica etc.)
Candidate must be able to work with limited/general direction.
Proficiency with MS Office software applications.
Must hold or be able to obtain U.S. DoD SECRET security clearance.
Must be a U.S. citizen.
Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information.
Ability to travel up to 25%, both international and domestic.
Able to lead team of up to 5 mechanical engineers to develop and document mechanical components and assemblies.
Proficient at understanding and driving requirements traceability in a model-based systems engineering environment.
Strong Earned Value (EV) skills, including Cost Account Manager (CAM) activities.
As a condition of employment, candidates will be required to pass a pre-employment drug screen.

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Senior AI Agent Engineer

GE Vernova

Cambridge, MA 02140

Paid Relocation to Cambridge, MA

Hybrid~ 10 minEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

5+ years of relevant experience and a Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields.
3+ years of experience in AI, GenAI application development & deployment particularly with autonomous agent systems or related AI software engineering roles.
3+ years of experience designing and building GenAI apps that allow users to experience AI use cases supporting features like agent orchestration, multi-step reasoning, prompt engineering, RAG integration, and model selection
3+ years of experience with LLMs and deep learning models, machine learning lifecycle management, data generation methods, model training & validation coupled with strong fundamentals and passion in software engineering and system architecture.
Proficiency in Python and/or languages like JavaScript, TypeScript, Node.js, or Java, Go, with strong coding and software engineering practices.
Expertise with AI/ML libraries and frameworks such as LangChain, OpenAI APIs, PyTorch, TensorFlow, commercial or open source LLMs.
Hands-on experience with LLMs, prompt engineering, and natural language processing (NLP).
Knowledge of agent orchestration platforms and multi-agent systems (e.g., AutogenAI, LangGraph, MCP protocol).
Familiarity with data management, vector databases, semantic retrieval, and real-time data pipelines.
Experience deploying AI systems on cloud platforms (AWS, Google Cloud) with container orchestration (Docker, Kubernetes).
Strong understanding of machine learning model training, fine-tuning, and evaluation techniques.
Awareness of AI ethics, data privacy, and secure handling of sensitive information.
Must be 18 years or older
Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Bachelor's level for employment visas, now or in the future, for this job opening.
You must submit your application for employment on the careers page at www.gecareers.com to be considered
Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA.
Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided.
Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

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New, Posted 8 hours ago

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Maritime Technical Operations Engineer

Anduril Industries

Quincy, MA 02169

~ 16 min OnsiteHealth Insurance

3+ years of experience operating at-sea robotic systems, ideally in a customer support role.
Quick learner, capable of adapting in a fast-paced environment.
Extensive hands-on (field operations, manufacturing, or test) technical experience.
Strong aptitude for problem solving in unstructured environments at the interface of hardware, software, and networking.
Ability to drive challenging and vague technical problems to clarity and resolution.
Proficient with AUV maintenance, operations, troubleshooting, and repair.
Comfortable with Linux, command line interfaces, and software debugging.
Strong computer and documentation experience.
Highly organized, detail-oriented, with strong communication and customer management skills.
Ability to lift 50 lbs.
Able to work extended hours as required.
Willingness to travel and support customer-facing operations for rotations of 30-45+ days OCONUS.
Ability to pass U.S. Coast Guard Medical Certificate.
Ability to meet health and medical requirements in advance of deployments in accordance with DFARS 252.225-7040, DoDI 3020.41, and/or any additional requirements outlined by region or supporting force, as applicable.
Eligible to obtain and maintain a U.S. Top Secret Security Clearance.