835 Software Engineer Intern jobs in Boston,MA

Senior Software Engineer

SAAB

Dorchester Center, MA 02124

~ 17 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Software Engineering, Computer Science or related discipline with 8+ years of relevant experience in advanced software product development, or a Master's degree with 6+ years of similar experience
Programming languages including C/C++, Python
Scripting languages including Linux/Unix Shells, Matlab, etc.
Integrated Development Environments including Eclipse, various GNU, VS Code, Microsoft Visual Studio, Arduino
Version control systems including SVN, Git.
Issue tracking via Jira, or similar
MSOffice including Excel, Word, Visio, PowerPoint, Outlook
Experience with agile development methodologies including Scrum
Experience with virtual machines
Good understanding of industry accepted software design methods and practices, including configuration control, design spaces/tradeoffs, analyses, and requirement specification
Software product development background demonstrating a strong engineering aptitude and good problem-solving skills
Demonstrated ability to resolve issues during design, development, and execution of software engineering activities
Strong written and verbal interpersonal and communication skills
Effective contributor in a team environment
Ability to work independently to achieve technical and program requirements
Must hold or be able to obtain U.S. DoD SECRET security clearance
Ability to travel up to 25%, both international and domestic, depending on project needs
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.
As a condition of employment, candidates will be required to pass a pre-employment drug screen.

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New, Posted 12 hours ago

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Site Engineer

Marchionda & Associates, L.P.

Stoneham, MA 02180

$80,000-$150,000/yr

Flexible Schedule

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Civil/Structural Engineer

Leidos

Framingham, MA 01701

RemoteBilingual PreferredPaid Time OffRetirement Benefit

Bachelor's of Science degree in Civil or Structural engineering with four plus years of experience working on industrial, power delivery, or power generation project designs or other relevant experience.
Team player with ability to communicate effectively with internal staff such as Project Manager's and SMEs from other disciplines, as well as with external parties such as Owners, Developers, Lenders, Investors, and Manufacturers.
Experience providing high level reviews of engineer's finite element analysis models, hand and software generated calculations, design drawing packages, and the overall design basis/methodology selected and deployed related to peer reviews, fatal flaw reviews, conformance to industry standard practices, conformance to appropriate design codes, and conformance with project specifications.
Competency with various governing design codes used in civil, structural, and geotechnical design, such as the International Building Code (IBC), ASCE 7, ACI 318, AISC, AISI, and others.
Familiarity with structural analysis software including finite element analysis such as STAAD or RISA 3D.
Willingness to travel for project site visits in support of reviews.
Travel could include the potential for international travel.
The position can periodically include weeks with extended work hours to support client(s) needs.
Proficient in the use of Microsoft 365 and Adobe/Bluebeam.
Ability to successfully meet client deadlines on multiple projects under pressure.
Ability to manage schedule commitments related to multiple project reviews at one time.
Ideally, this person would be located within commuting distance of Denver, CO or Framingham, MA area.

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Director of Product Management- Cloud Infrastructure Engineering

athenahealth, Inc.

Brighton, MA 02135

New, Posted 1 day ago

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Principal AI Software Engineer

GE Vernova

East Cambridge, MA 02141

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Computer Engineering, or related technical field.
10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go).
Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale.
Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications.
Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks).
Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship.
Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS).
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.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening.

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Director, Agentic Software Development

CSL Behring

Waltham, MA 02451

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Nuclear Engineer

U.S. Navy

Melrose, MA 02176

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Technical Program Manager / Systems Architect

Viken Detection

Burlington, MA 01803

~ 24 min Onsite

Bachelor's degree in Mechanical Engineering, Electrical Engineering, Systems Engineering, or a related technical discipline
Minimum 5 years of hands on engineering experience, including direct involvement in product or system design
Minimum 3 years of program or project management experience, with demonstrated responsibility for cost, schedule, and technical execution
Technical Fluency: Ability to read schematics, interpret CAD models, analyze data, and understand complex mechanical, electrical, and power distribution systems
Tools: Proficiency with PLM systems, Jira (or equivalent), Microsoft Office, SharePoint, and advanced scheduling/Gantt charting tools
Location: This role is based in Burlington, MA. We are seeking local candidates, as relocation assistance is not available
Work Authorization: Applicants must be authorized to work in the U.S. on a full-time basis. We are unable to provide visa sponsorship for this position

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Nuclear Engineer

US Navy

Marlborough, MA 01752

New, Posted 14 hours ago

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Principal Quant Developer (MLOps)

Fidelity Investments

Boston, MA 02210

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field
Six (6) years of experience as a Senior Quant Developer or similar role
Alternatively, a Master's degree (or equivalent foreign education) in the same fields
Four (4) years of experience as a Lead Quantitative Development or similar role
This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
Expert in Python with experience across the development stack (full stack)
Exposure to object-oriented programming (OOP) and design patterns
Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
Proven ability to construct and manage robust data pipelines and event-driven workflows
Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
Experience in containerization with Docker and orchestration with Kubernetes
Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
Awareness of responsible AI governance practices
Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
Demonstrated knowledge of mathematics, statistics, and quantitative finance
Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
Domain knowledge in either equities, fixed income or alternative asset classes