1306 C++ Developer jobs in Lexington,MA

New, Posted 4 hours ago

Apply Directly

QA Lead - Web Application Development (Hybrid)

RTX

Cambridge, MA 02138

Hybrid~ 21 minFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

The ability to obtain and maintain a U.S. government issued security clearance is required.
U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Security Clearance Type: DoD Clearance: Secret
Security Clearance Status: Active and existing security clearance required after day 1
B.S. or equivalent in a technical degree with 8 years or more experience as software or data integration developer OR 6 years experience with MS degree.
Significant experience testing modern web applications with complex, interactive front ends.
Experience leading or shaping QA strategy, not just executing test cases.
Familiarity with microservices architectures and distributed systems, including testing of interfaces and API's.
Experience validating containerized deployments (Docker) and Kubernetes-based environments.
Understanding of CI/CD pipelines and quality controls within DevSecOps workflows.
Strong grasp of configuration management and release integrity across environments.
Ability to collaborate effectively with engineers, UX designers, product owners, and government stakeholders.
Willingness to travel as needed, approximately 10% of the year.
Ability to obtain and maintain a U.S. Security Clearance

SmartExplore AI is experimental.

Director, Agentic Software Development

CSL Behring

Waltham, MA 02451

New, Posted 23 hours ago

DiversityJobs

Advanced Software Engineer

Relativity

Boston, MA 02298

iHire

Engineer

GPD OPTOELECTRONICS

Salem, NH 03079

Apply Directly

Systems Modeling, Simulations & Analysis Engineer with Security Clearance

Digital Prospectors

Boston, MA 02108

New, Posted 2 hours ago

Senior AI Agent Engineer

GE Vernova

Cambridge, MA 02140

Paid Relocation to Cambridge, MA

Hybrid~ 21 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).

SmartExplore AI is experimental.

Easy Apply

Forward Deployed Software Engineer

Growth Signals

Boston, MA 02115

Hybrid~ 25 min

3+ years in a software, solutions, or customer‑facing technical role.
Background supporting enterprise software delivery or implementation projects.
Working knowledge of project management practices, including requirements definition, milestone planning, and delivery coordination.
Proficiency with APIs, cloud platforms, and modern SaaS architectures.
Hands‑on development of frontend components using React and TypeScript, integrated with backend services.
Capability designing and implementing secure backend APIs using Python (e.g., Flask, Pydantic, Pyright, or similar frameworks).
Strong customer‑facing communication skills, comfort working in structured delivery environments, and willingness to travel 40–50%.
Participation in end‑to‑end delivery of enterprise customer solutions, supporting engagements from requirements and discovery through deployment and adoption.
Own the project execution lifecycle for customer engagements, including requirements gathering, milestone definition, task breakdown, dependency tracking, and delivery coordination.
Support the technical lifecycle of customer implementations, including solution design, configuration, integration, deployment, and post‑deployment stabilization.
Engage directly with customers during implementation phases—including onsite participation—to support successful delivery, adoption, and operational readiness.
Design and support secure, scalable, and reliable software solutions appropriate for enterprise environments.
Maintain delivery standards related to solution quality, documentation, deployment readiness, and adherence to enterprise security and compliance practices.

SmartExplore AI is experimental.