1053 Associate Solutions Engineer jobs in Boston,MA

Bachelor's degree in engineering, (or equivalent experience)
Minimum 2+ years of experience selling power solutions
Experience supporting customers through the power supply selection process
To perform the position, you must be a U.S. Person as defined by ITAR. ITAR defines a U.S. Person as a U.S. Citizen, U.S. Permanent Resident (i.e., ‘Green Card Holder'), Political Asylee, or Refugee
Visa sponsorship is not available for this role
Only candidates authorized to work in the United States will be considered

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New, Posted 2 hours ago

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Senior Software Engineer

SAAB

Boston, MA 02196

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 1 hour ago

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Manager, Software Project Management (Boston, MA - US)

Energy Solutions

Boston, MA 02110

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Director of Product Management- Cloud Infrastructure Engineering

athenahealth, Inc.

Brighton, MA 02135

New, Posted 7 hours ago

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Vice President Director, Technology - AI Customer Solutions

Publicis Groupe

Boston, MA 02115

$207,424/yr

New, Posted 1 hour ago

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HVM-NETA Electrical Testing Sales Engineer - Boston

VERTIV

Boston, MA 02203

$102,607-$136,810/yr

OnsiteHealth InsurancePaid Time OffRetirement Benefit

Graduate engineer (BSEE/BSME) and no experience.
Graduate of electrical technical school or equivalent, and five years of similar work.
High school diploma or equivalent and eight years of similar work.
Willing to work flexible hours, weekends, some overnight travel to cover sales territory.
Regularly required to sit, stand, walk, use hands and fingers, talk and hear.
Required to sit and work at computer.
Specific vision abilities required by this job include close vision and the ability to adjust focus.
Conduct walk-through of construction sites and work in and around electrical equipment.
Regularly lift and/or move up to 25 pounds and frequently lift and/or move 100-pound test sets.
Up to 50% within assigned territory.
Valid Driver's License.

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New, Posted 1 hour 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