Requirements engineer jobs in New Bedford, MA - 891 jobs

A leading cybersecurity firm in Boston is seeking a skilled team lead to oversee development teams, mentor members, and deliver high-quality data solutions. The ideal candidate has extensive experience in Python and cloud technologies. This full-time position offers a competitive salary, with a range of $129,000 to $193,500, reflecting skills and experience. Join a diverse team committed to empowering clients and disrupting cyber threats. #J-18808-Ljbffr

A leading medical technology company in Boston is seeking a Machine Learning Engineer to implement practical solutions, analyze datasets, and build Python-based services. The ideal candidate will have a Bachelor's degree in a related field and 3-4 years of experience in software development, particularly in Data Science and Machine Learning projects. They should possess proficiency in Python and be comfortable working independently within a team. This role offers competitive compensation and comprehensive benefits including a 401(k) match and flexible time off. #J-18808-Ljbffr

asset-management, technology, Data & BI Perm Hybrid The Role This is a senior data engineering role embedded within a trading-focused environment, supporting execution, operations research, and quantitative trading teams. You'll help build and maintain the data platform that underpins trading analytics across multiple asset classes. The work is practical and production-oriented - ensuring data is reliable, accessible, and fit for purpose in time-sensitive trading workflows. This role suits someone who enjoys working close to trading and research teams while owning core data infrastructure. What You'll Be Working On Designing and maintaining scalable data pipelines from multiple sources Improving reliability and monitoring of data ingestion processes Transforming raw data into analytics-ready datasets Automating data and analytics workflows where possible Implementing data quality checks and pipeline observability Partnering with quantitative trading teams to enhance platform performance Supporting data used across execution, operations, and research What They're Looking For Strong experience in data engineering or data-intensive environments Hands-on programming experience in Python or similar languages Experience working with high-volume, structured and unstructured datasets Understanding of data quality, monitoring, and automation concepts Exposure to trading data, market structure, or transaction cost analysis is a plus Comfortable working independently and owning initiatives Clear communicator who works well with technical and non-technical partners Background Degree in computer science, engineering, or a related technical discipline Several years of relevant industry experience Track record of improving data platforms in production environments Why This Role Direct alignment with trading and execution teams Ownership over data used in live decision-making Opportunity to improve systems that operate at scale Hybrid working within a collaborative, research-driven culture Apply for this position Full Name Email Phone Linkedin Upload CV/Resume Maximum allowed file size is 8 MB. Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. #J-18808-Ljbffr

A leading global research university in Boston seeks a Data Science and Machine Learning Engineer to build and maintain ML pipelines for healthcare data. Responsibilities include collaboration with top scientists, designing ETL processes, and documenting code and workflows. Ideal candidates should have an MS in a relevant field and experience with TensorFlow or PyTorch. This position offers competitive compensation of $40/hour and the chance to contribute to impactful research in drug discovery and healthcare disparities. #J-18808-Ljbffr

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. Are you passionate about building robust data ecosystems that power advanced analytics and business insights? Join our dynamic team as a Data Engineer III, where you'll design and implement cutting-edge data pipelines, integrate diverse data sources, and ensure the highest standards of data quality, security, and compliance. This is your opportunity to work on impactful projects that shape the future of data-driven decision-making. What You'll Do Architect & Innovate: Design and maintain scalable data pipelines and infrastructure for ingestion, integration, and storage of structured and unstructured data. Enable Analytics: Deliver clean, reliable datasets for Business Intelligence, Advanced Analytics, and Data Science teams. Optimize Performance: Implement modern practices using Microsoft Fabric, SQL Server, SSIS, Power BI Premium, and big data frameworks like Spark. Ensure Quality: Validate solutions through rigorous testing and maintain data integrity across all systems. Collaborate & Lead: Partner with Product Owners, Architects, Analysts, and Data Scientists on medium-to-large projects, and lead small-to-medium initiatives independently. Drive Continuous Improvement: Automate processes, optimize data delivery, and redesign infrastructure for scalability. What We're Looking For Prefer 4 year/bachelor's degree or master's degree in computer science, Information Technology, Computer Engineering, or equivalent experience 5+ years relatable work experience Ability to design and optimize SQL queries across cloud data warehouses, with strong proficiency in T‑SQL. Skilled in data orchestration and ETL tools such as Azure Data Factory or SSIS, and eager to adopt Fabric Data Factory (Pipelines & Dataflows Gen2). Background in CI/CD and version control for data solutions (e.g., Git, deployment pipelines), with interest in DevOps practices for analytics platforms. Familiarity with modern data lake architectures, including Delta Lake and medallion design patterns. Knowledge of columnar storage formats and lakehouse technologies such as Delta Lake and Parquet for scalable data processing. Hands-on work with big data frameworks like Apache Spark (PySpark or Scala) for batch workloads is helpful. Understanding BI and semantic modeling concepts, including star schema design and performance tuning is helpful. Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset. Well qualified candidates may be considered for a data engineer IV. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, paid time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce. #LI-TA1

Operates and maintains all building systems. Responsibilities will be carried out in a manner consistent with high quality maintenance and economical operation of the building's equipment and systems. Ability to work independently most times with no on-site supervision. May be assigned to multiple properties and ownership entities. Similar mechanical skill-set as an Assistant Chief but does not oversee additional staff or perform managing duties. Must be available to respond to after hour emergency calls. Essential Job Duties: Maintain and check operating logs daily on the following: air conditioning, fan units, graph charts, utility meters and general complaints. Organize work orders to be performed by Building Engineers. Ensure that building systems and tenant service requests are handled efficiently at the most economical cost. Strive for minimal equipment downtime. Oversee and adhere to the established preventive maintenance program. Assist in the development of the annual budget and RFP process for budgeted projects. Order supplies and materials via written or verbal communications when approved by Building Manager. Maintain monthly inventory of expendable supplies and materials that are used frequently. Oversee storage and maintain records of supplies and materials received. Maintain inventory of permanent tools and equipment annually. Ensure model and serial numbers are recorded exact description of tool and equipment. Maintain and record meter readings. Make weekly inspections of all engineering spaces and equipment. Make a written report to building manager for approval and posting. Maintain organized building files. Verify, prior to starting a job, that all tools and equipment are available before commencing work. Submit monthly reports to Building Manager on work performed and work needed to be done. Respond to tenant complaints and ensure all reasonable measures are taken to satisfy the tenant's needs in a timely and efficient manner. Understand operating procedures and proper chemical treatment levels for cooling towers and boilers. Responsible for chemical treatment of machines at all times including blow down of boilers covering weekdays and weekends. Maintain and check service contractors work schedule. Ensure time, date, repairs are made and properly recorded. Have a complete understanding of life safety systems, and what the procedures are in the event of a fire. May coordinate evening fire alarm tests and also test to ensure elevator capture system works properly. Accountable for implementation of national policy. May perform other duties as assigned. Skills, Education and Experience: High School Diploma. Minimum of 7 years previous building operations engineering experience. Ability to handle multiple projects and make decisions. Proficient computer and e-mail skills. Holds necessary/required licenses. Must have the ability to complete required safety classes that pertain to specific job duties. Benefits and Perks: Industry leading Parental Leave Policy (up to 16 weeks) Generous healthcare Bright Horizons back-up care program Generous paid time off Education reimbursement Referral Program Opportunities to network and connect Benefits/perks listed may vary depending on the nature of your employment with Newmark and the job location. Salary: $45/hr. - $55/hr. The hourly rate is between $45 and $55 per hour, and the anticipated annual base compensation range for this position will be $93,600 - $114,400 inclusive of required overtime Working Conditions: Normal working conditions with the absence of disagreeable elements Note: The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Newmark is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny. At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business. As an AI Engineer II at Klaviyo, you'll play a key role in designing and building scalable backend systems and user experiences that power our AI products and AI agent solutions. You'll partner closely with product managers, machine learning engineers, and data scientists, to drive real-world impact at scale. This is a backend-heavy role with opportunities to influence architecture, async processing pipelines, distributed systems, and more. How You Will Make a Difference: Design and build backend systems that support scaling our AI solutions for 167K+ customers. Develop robust, reliable and scalable data collection and processing pipelines for machine learning models to train and consume. Develop robust, reliable and scalable services to serve AI models in production environments. Contribute to evolving our agentic architecture - making our AI agents more self-sufficient and performant. Contribute to a culture of ownership, experimentation, and customer-centric product thinking. Who You Are: Have experience building and deploying generative AI and agentic AI applications into production, with knowledge in prompt engineering, few-shot learning, fine tuning and evaluation. 3+ years experience working as a backend engineer building scalable, distributed systems, especially in the service of AI agent capabilities. Proficient in Python and modern backend frameworks (FastAPI, Django preferred). Knowledge of big data tools such as Apache Spark and Hadoop. Knowledge of asynchronous processing and distributed task queues (Celery, Kafka, SQS, RabbitMQ, Redis). Understanding of database technologies and ORMs (SQLAlchemy, Alembic). Knowledge of robust APIs. Able to operate with autonomy, handle ambiguity, and thrive in a fast-moving, startup-like environment. Driven by curiosity. You're someone who learns and stays up to date with this rapidly evolving field. Comfortable collaborating directly with product managers to shape solutions. Nice to have: Trained ML models in the past and deployed them in production systems to generate impact to businesses Experience in reinforcement learning Contributions to open-source AI frameworks Comfortable with cloud-native architectures (AWS) and container orchestration (Kubernetes); can manage infrastructure and CI/CD pipelines. Experience creating human and automated evals to ensure high AI model quality. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$116,000-$174,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators-ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. To learn more about us, please visit: ********** What We Offer: A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact. Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. What we Need: The SES AI Prometheus team is seeking an exceptional Battery Algorithm Engineer to combine materials physics, algorithm development, and big-data systems to create highly accurate battery digital twins, predictive models, and sophisticated optimization engines. This role is central to predicting and enhancing battery safety and performance metrics in real-time. As an Algorithm Engineer, you will be responsible for the full lifecycle of predictive models that power our digital twin battery system. Essential Duties and Responsibilities: Modeling & Algorithm Development Design and develop core physics-based battery models and multi-physics simulations that accurately represent cell behavior. Engineer and apply ML/Deep Learning algorithms (using libraries like TensorFlow) for predictive modeling, safety assessment, and performance optimization. Develop AI4Science algorithms that merge materials physics and computational science to solve complex battery challenges. Digital Twin Architecture Architect and build the digital twin battery system-a virtual battery trained on real-time cell data to continuously monitor and predict safety and performance metrics. Integrate algorithms into big-data systems and infrastructure, ensuring the predictive models are scalable and robust. Domain Bridging & Optimization Maintain a hybrid understanding of data science, materials physics, algorithm infrastructure, and AI models to ensure model validity and utility. Utilize computational tools like COMSOL Multiphysics and finite element analysis (FEA) for complex modeling and simulation tasks. Education and/or Experience: Education: Ph.D. in Materials Engineering or a closely related computational/engineering field. Core Modeling Expertise: Deep foundational knowledge and practical experience with physics-based battery modeling and computational battery modeling. Algorithm Development: Expertise in applying ML/Deep Learning algorithms for predictive modeling and optimization, specifically using libraries such as TensorFlow and other neural network architectures. Technical Stack: Proficiency in core programming languages (Python, MATLAB) and simulation tools (e.g., COMSOL Multiphysics, finite element analysis). Systems Understanding: Experience with algorithm infrastructure and architecting digital twin systems. Preferred Qualifications: Industry Background: Previous experience at battery analytics platforms, electrification R&D centers, or specialized materials/physics ML groups. Big Data Experience: Experience integrating algorithms with large-scale data systems and platforms. Code Management: Familiarity with professional software development practices, including version control using GitHub.

Job Description FPGA Engineer Location: Boston, MA Work Type: Full-time, On-site We are seeking a highly skilled and motivated FPGA Engineer to join our cutting-edge robotics team focused on developing advanced camera and vision systems for next-generation robotic platforms. In this role, you will design, develop, and optimize FPGA-based systems and IP cores that enable high-performance signal processing and system integration. The ideal candidate has a strong background in FPGA development, digital signal processing, and embedded systems. You thrive in a collaborative, fast-paced environment and are passionate about building robust, scalable hardware solutions that power intelligent automation. Note: This role is based in a hands-on lab environment rather than a traditional quiet office setting. Candidates should be comfortable working in a space with moderate background noise and active equipment in use. Key Responsibilities Design and develop FPGA configurations and IP cores for high-performance camera and vision systems. Implement signal processing algorithms using Verilog and other HDL tools. Use simulation and verification frameworks to ensure mathematically correct logic before hardware deployment. Collaborate with software and embedded systems engineers to integrate FPGA designs into larger systems. Develop embedded software-based testing solutions to validate FPGA functionality. Optimize FPGA designs for timing, resource utilization, and throughput. Identify and resolve system bottlenecks and performance issues. Ensure seamless integration of internally developed and third-party IP cores. Contribute to system-level architecture and design discussions. Troubleshoot and debug FPGA designs using industry-standard tools and lab equipment. Basic Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, or related field. Professional experience in FPGA development: RTL design, verification, timing analysis, lab bring-up, and validation. Proficiency in Verilog and digital design principles. Strong understanding of DSP fundamentals and their implementation on FPGAs. Familiarity with computing and processor architectures. Experience with simulation and verification tools. Excellent problem-solving and debugging skills. Strong communication and technical documentation abilities. Preferred Qualifications Master's degree in Electrical or Computer Engineering. Experience with high-speed interfaces such as GSML, MIPI, I2C, and SPI. Background in camera systems or vision-based robotics. Familiarity with embedded systems and software-hardware co-design. Experience with system-level integration and architecture planning. Proficiency with FPGA development tools (e.g., Vivado, Quartus). Enthusiasm for working in a fast-paced, agile development environment.

Cloud Platform Engineer Department: Technology / Infrastructure Salary: $130,000 - $140,000/year + bonus Grand Circle Corporation is the leader in international travel, adventure, and discovery for Americans aged 50+. Headquartered in Boston, MA, with more than 45 offices globally, more than two million travelers have experienced our award-winning brands: Grand Circle Cruise Line, Overseas Adventure Travel, and Grand Circle Travel. We are seeking an experienced Cloud Platform Engineer to help design, build, and operate scalable, secure, and resilient cloud platforms on Microsoft Azure. This role will play a key part in modernizing our infrastructure, enabling application teams, and establishing best practices for cloud architecture, automation, and reliability across the organization. Key Responsibilities Cloud Architecture & Platform Design Design, implement, and evolve Azure-based cloud platforms that support business and application needs. Translate business and technical requirements into scalable, secure Azure solutions aligned with best practices. Lead architecture and design decisions across networking, compute, storage, identity, and container platforms (including AKS). Technical Strategy & Enablement Drive technical discussions around scalability, performance, high availability, disaster recovery, security, and compliance. Provide guidance on cloud adoption, migrations, and platform optimization. Act as a technical advisor to ensure cloud platforms integrate seamlessly with existing systems and workflows. Solution Development & Operations Lead Azure initiatives from design through deployment and ongoing support. Build and manage Azure services including virtual networks, storage accounts, databases, AKS, Azure AD, and related services. Design and maintain backup, recovery, and business continuity solutions. Collaboration & Delivery Partner closely with software engineering, DevOps, and operations teams to enable automated deployments and platform reliability. Collaborate with internal stakeholders to understand platform needs and deliver scalable solutions. Security, Governance & Optimization Implement Azure security, governance, and compliance best practices including RBAC and data protection. Monitor and continuously improve platform performance, cost efficiency, and operational health. Establish standards, policies, and tooling to streamline Azure management and troubleshooting. Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. 3+ years of hands-on experience designing and supporting Azure cloud platforms. Strong expertise across Microsoft Azure services (VMs, AKS, Azure AD, networking, storage, databases, DNS). Experience with automation and infrastructure-as-code tools such as PowerShell, ARM Templates, Azure CLI, or Terraform. Familiarity with DevOps practices and tools (CI/CD pipelines, Docker, Kubernetes). Solid understanding of networking, security, data protection, and compliance in cloud environments. Experience with networking technologies including routers, switches, load balancers, wireless, and SD-WAN. Excellent communication skills with the ability to explain technical concepts to non-technical audiences. Total Rewards The base salary range for this role is $130k - $140k annually for employees based in Boston, MA. Final compensation may vary and will be determined based on factors such as relevant experience, skills, internal equity, and geographic location. In addition to base pay, this role is eligible for an annual incentive bonus and first-class benefits, which include: Health & wellness: Comprehensive and heavily subsidized medical, dental, and vision plans, plus on-site gym access, holistic wellness sessions, and group fitness classes Time for you: Substantial Paid Time Off (PTO), and 11 paid holidays - including Juneteenth, Memorial Day, and Labor Day - and Summer Fridays. Plus extensive parental leave, with up to 12-16 weeks paid leave at 100% base salary. Travel more, spend less: 50% off our trips for you and a companion, 25% for additional immediate family members, and exclusive quarterly associate travel deals Your future, secured: 401(k) with company match, life insurance, and disability coverage Continuous growth: Tuition assistance for both professional and personal development, opportunities for professional development through overseas travel, and direct access to Pinnacle Leadership & Team Development Extra perks: Commuter benefits, FSA options, pet insurance, home & auto discounts, and paid volunteer time off to give back to the community To learn more, please visit our websites at ************ ***************** and ******************************

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring an Android Engineer II to join one of our high-impact product teams: Healthcare, AI Experiences, or Growth. You'll work on features that scale our systems and improve reliability, remove friction from user experiences, or help members improve their physical, emotional, and hormonal health through clinical-grade insights. Whether building shared frameworks, iterating on growth experiments, or shipping health-driven features, you'll deliver work that directly impacts our members' lives. You'll collaborate across functions, write well-architected code, and contribute to a platform that is improving health outcomes and unlocking human potential at scale.RESPONSIBILITIES: Design, build, and maintain scalable Android features that integrate with WHOOP's backend services and APIs Collaborate with backend, infrastructure, and product teams to ensure seamless and performant end-to-end systems Apply modern Android architecture patterns (e.g., MVVM, MVI) and modular design principles to support team scalability Improve developer enablement by enhancing shared Android libraries, frameworks, and build tooling Monitor app performance, debug complex issues, and optimize for speed, stability, and battery life Write secure, well-tested code and participate in design and code reviews to maintain engineering excellence Document technical decisions, architecture, and design to promote alignment and knowledge sharing QUALIFICATIONS: 2-4 years of professional Android development experience Proficiency in Kotlin (and Java when necessary), Android Jetpack libraries, and the Android development ecosystem Strong understanding of Android app structure, lifecycle, concurrency (Coroutines), and memory management Experience integrating with RESTful APIs and backend services Familiarity with modular architecture and scalable design systems (MVVM, MVI) Experience using Git and productivity tools like Jira, Confluence, and GitHub Exposure to mobile CI/CD workflows, Gradle build configuration, and mobile release processes Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success. The U.S. base salary range for this full-time position is $125,000-$170,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements. Learn more about WHOOP .

Arete Technologies, Inc. offers set of innovative Consulting and Outsourcing services, bridging the gap between requirements and outputs of various dexterous and facile companies worldwide. The thrust of providing global deliverables with focus on providing paramount and unsurpassed services combined with cost saving solutions to the clients We understand the business requirements in the present day corporate scenario and aspire to provide world-class services enabling the organization to burgeon and flourish while keeping the work-life balance intact. The Global delivery mechanism followed at Arete Technologies, Inc. saddles proficient schemas and unconventional channels to provide one-stop solutions for all your workforce needs. our Team is an exquisite amalgamation of vast experiences of over 30 years in IT Consulting and Staffing industry. Connoisseurs in the field of staff augmentation for IT, we operate on 24 by 7 model with an aim of providing affordable and adept professionals with an assurance of satisfaction for both Consultants and Clients. We are pre-eminent service providers in the field of staff augmentation, IT Consultancy, Software development, Web Development providing unexcelled services and focusing on both the employers and employees. Job Description · Experience in AWS provisioning. Good understanding in deploying, automating and using Amazon Web Services (AWS) technologies, including AWS Command Line Interface (AWSCLI), AWS SDKs, Elastic Compute Cloud (EC2), Simple Storage Service (S3), CloudFormation, Virtual Private Cloud (VPC), or Cloud Watch · Creating infra qualification documents on AWS - Creating and executing the test plans and test scripts to qualify the AWS infrastructure · Experience in working with CSVs (IT-Quality Teams) in getting the infra qualification documents reviewed and approved · Good written and verbal communication skills Qualifications Need Local Candidates Additional Information Best Regards, Paramjot Singh

Title: Cloud Engineer Duration: 12 months Work Hours: 37.5hrs/week Hybrid Pay Range: $70.00 -$75.00 ( Negotiable) The ideal candidate is an expert in Administration and support of Data Services. You can clearly articulate and implement different data ingestion patterns depending on the use case. In this role, you are comfortable speaking to both business and technical stakeholders to ensure combined understanding and collaborative solutions. This role will be expected to own tasks and follow-up related to cloud data platform Design and development activities and establish well documented best practices and processes related to the Data Modernization efforts. Duties and Responsibilities: Administer, configure & support Cloud Database services (Snowflake). Administer, configure & support Data Platform services, Informatica Cloud (IICS), Tableau, Cognos, SAS, GitHub and MOVEit MFT. Design, implement & support cloud applications and AWS services. Install and configure software on AWS cloud services. Administer and manage internal and external requests for data applications access and permissions, while supporting data security and protection. Defines and implements data security policies, authentication, and authorization mechanisms for cloud-based platforms. Collaborates with cross-functional teams to design and implement highly scalable, highly available, and highly performant cloud data solutions. Evaluates and recommends new cloud products and services for efficient data storage and processing. Monitors the performance of cloud data services and strategizes optimization measures. Implements data management and data governance processes for cloud data. Establish regular overall system performance assessment processes and action plans. Provide excellent customer service (email, telephone, and written correspondence) to all internal and external customers. Ensure timely delivery of solutions meeting requirements and expectations Qualifications: Minimum experience/skills: 3-5 years of experience in implementing and supporting Cloud-based (AWS) data solutions. 5+ years of Cloud database platform experience such as Snowflake. 3+ years in Cloud Data services such as IICS, AWS and GitHub. 5+ years of experience in Database administration and Data Warehouse applications on AWS. Minimum two years of experience with installing and configuring applications using Cloud Technologies (AWS, MS Azure etc.) Knowledge of cloud network policies and the firewall rules Experienced in SQL skills and PL/SQL skills. Experience in Linux shell scripting, user security and server administration. Experience in data security protocol using encryption and decryption methodologies. Strong communication and organizational skills Experience working with highly sensitive health care information and familiar with HIPAA and other data privacy controls. Preferred experience/skills: Amazon Web Services (AWS) Certification Snowflake certification

Responsibilities Develop, test, commission, and support SCADA and automation solutions. Provide remote and onsite customer service. Perform and document on-site assessments, discoveries, and customer roadmaps. Interface with customers, project managers, and our sales team. Ability to travel up to 35%. Participate in business-hours support, and after-hours application support (additional compensation) Skills Required: Minimum 8 years of experience with GE Proficy Historian and iFIX. Experience with OPC DA/UA and communication protocols. Experience programming Visual Basic (VB). Ability to troubleshoot unfamiliar systems with a structured approach. Self-driven and a team player Excellent verbal and written skills to communicate with customers and team members. Proficient with Microsoft Products - Excel, Word, PowerPoint, Office365. Skills Desired: Other Proficy Applications (Ex. CIMPLICITY, Plant Applications, Operations Hub, etc) Familiar with Programmable Logical Controllers (PLC), Experience using MS SQL Server or other relational database programs like Oracle, or MySQL. Understanding of basic electrical and mechanical control systems. Cyber Security Experience/knowledge. ex: Fortinet, Nozomi Familiarity with thin client devices in an industrial setting is desirable. Experience using VMWare or other virtualization environments. Experience programming SQL, C+, .NET, JavaScript, Python, or HTML.

About the Opportunity This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified . JOB SUMMARY The AI Engineer will be responsible for designing, developing, and implementing AI systems and data pipelines that enhance and automate university operations across multiple departments. This role is crucial in transforming manual processes into AI-driven solutions, focusing on building robust data pipelines, creating efficient machine learning models, and integrating AI capabilities into existing systems to improve efficiency, accuracy, and service quality while reducing operational costs. Utilize expertise in machine learning, natural language processing, data engineering, and AI system integration with existing enterprise infrastructure. This role is hybrid and in the office a minimum of three days a week to facilitate collaboration and teamwork. In-office presence is an essential part of our on-campus culture and allows for engaging directly with staff and students, sharing ideas, and contributing to a dynamic work environment. Being on-site allows for stronger connections, more effective problem-solving, and enhanced team synergy, all of which are key to achieving our collective goals and driving success. *Applicants must be authorized to work in the United States. The University is unable to work sponsor for this role, now or in the future MINIMUM QUALIFICATIONS Knowledge and skills required for this position are normally obtained through a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field; Master's degree preferred and 5 years of experience in AI/ML engineering roles, with at least 2 years working with production AI systems in enterprise environments. Experience with AI system implementation in higher education or similar complex organizational settings preferred. Ability to manage projects, prioritize tasks and deliver on schedule. Other necessary skills: AI/ML Development Expertise: Strong proficiency in developing and deploying machine learning models and AI systems in production environments, with deep knowledge of contemporary AI frameworks, tools, and best practices. Software Engineering: Excellent software development skills with proficiency in Python, TensorFlow/PyTorch, and experience with containerized deployments and MLOps practices. Data Pipeline Engineering: Extensive experience with end-to-end data pipelines using tools like Apache Airflow, Prefect, cloud platforms (AWS, Azure, GCP), data warehousing solutions (Snowflake, Redshift), processing frameworks (Spark, Kafka), and container technologies (Docker, Kubernetes), with proficiency in Python, SQL, and version control/CI/CD practices. Machine Learning Engineering: Demonstrated experience in the full ML lifecycle including data preparation, feature engineering, model training, validation, deployment, and monitoring in production. Natural Language Processing: Advanced knowledge of NLP techniques and large language models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise applications. Cloud Computing: Experience deploying and scaling AI systems in cloud environments (AWS, Azure, or GCP), with knowledge of cloud-native AI services. Solution Architecture: Ability to design scalable, secure, and efficient AI system architectures that meet enterprise requirements and performance standards. System Integration: Ability to integrate AI solutions with existing enterprise systems, APIs, databases, and authentication services to create cohesive user experiences. Performance Optimization: Experience optimizing AI models for both accuracy and computational efficiency in resource-constrained environments. Security Awareness: Knowledge of security best practices for AI systems, including data protection, model security, and prevention of adversarial attacks. Data Science: Strong understanding of data structures, algorithms, statistical analysis, and data visualization techniques relevant to AI applications. KEY RESPONSIBILITIES & ACCOUNTABILITIES AI System Design and Development Design, develop, and implement AI solutions to automate and enhance university operations, including service desk automation, administrative task processing, and QA testing systems. Create robust, scalable architectures that integrate with existing university systems and accommodate future growth. Data Pipeline Development and Management Design and implement end-to-end data pipelines that efficiently collect, process, and prepare data for AI systems. Build robust ETL processes using tools like Apache Airflow, cloud services, and data warehousing solutions to ensure reliable data flow between source systems and AI applications. Implement data quality checks, monitoring, and governance practices throughout the pipeline. Machine Learning Implementation and Fine-tuning Develop and fine-tune machine learning models for specific university use cases, including customizing large language models through prompt engineering, transfer learning, and domain adaptation. Create efficient training pipelines and establish systematic evaluation protocols. System Integration and Deployment Integrate AI systems with existing university infrastructure, including identity management, knowledge bases, ticketing systems, and communication platforms. Deploy models to production environments following established MLOPs practices and ensuring appropriate monitoring. Performance Monitoring and Optimization Monitor AI system and data pipeline performance, detect and address drift or degradation, optimize resource utilization, and continuously improve model accuracy and efficiency based on real-world usage patterns and feedback. Position Type Information Technology Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit ************************************* for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Compensation Grade/Pay Type: 113S Expected Hiring Range: $112,180.00 - $162,662.50 With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

MIKEL invests in people and technology - empowering the creative process, building responsive relationships, and propelling innovative solutions from conception to completion for the U.S. Navy. MIKEL is a small woman owned business that has been providing Undersea Warfare Solutions to the Department of Defense since the company's inception in 1999. Be a part of our dynamic team whose solutions and services enable the Navy to solve their toughest problems and meet their mission requirements. We have undersea operations experience, combined with engineering and specific subject matter expertise, that provides an in-depth understanding of the problem and a novel, innovative and cost-effective solution. MIKEL is committed to providing an environment that challenges its employees to use and advance their skills and knowledge to provide solutions that exceed customer expectations. Job Description: MIKEL, Inc. is seeking a Systems Engineer II to support the Submarine Warfare Federated Tactical Systems (SWFTS) program for the U.S. Navy. This role provides full lifecycle systems engineering, integration, software infrastructure support, and subject matter expertise across various components of the SWFTS architecture. The ideal candidate has experience with Navy tactical systems, software tools, containerized environments, and collaborative engineering support in a classified setting. Position: SWFTS Engineer (Systems Engineer II or III) Key Responsibilities: Provide systems engineering support for SWFTS infrastructure and tactical applications, including design reviews, requirements tracking, configuration control, and system validation efforts. Offer development support on various tools within the SWFTS project, including but not limited to MicroSWFTS toolkit, NTPRO, and ASIST, using multiple programming and scripting languages such as Java, Python, BASH, YAML, and Gradle. Deliver containerization and orchestration support aligned with SWFTS program objectives, using technologies including Podman and Kubernetes variants (e.g., K3S, K8S, RKE2). Participate in the integration, installation, and testing of SWFTS systems onboard platforms and within shore-based labs. Interface with government sponsors, NUWC divisions, and other defense contractors to support SWFTS planning, development, and deployment efforts. Serve as a subject matter expert (SME) during technical exchanges across the SWFTS community, providing insight on infrastructure and architecture considerations. Support the development and maintenance of documentation, including interface control documents (ICDs), test procedures, and software release artifacts. Troubleshoot integration issues, analyze system behavior, and support root cause analysis with detailed reporting. Assist in the creation and evaluation of Engineering Change Proposals (ECPs) and software versioning strategies for SWFTS tactical components. Qualifications: Bachelor's degree in Systems Engineering, Computer Science, Electrical Engineering, OR 10 - 12 years of experience as a Fire Control Technician (SS). 5-7 years of experience in systems or software engineering within a DoD OR naval warfare environment equivalency. Strong experience with containerization and orchestration operating in LINUX environments . Proven experience with software tools and environments used in SWFTS, including scripting and development with Java, Python, YAML, and BASH. Well-versed in software architecture, particularly in modular, containerized defense systems. Familiarity with containerization technologies (e.g., Podman) and orchestration platforms (e.g., Kubernetes, K3S, RKE2). Strong understanding of configuration management and systems lifecycle processes within DoD frameworks. Experience supporting Navy combat systems or related undersea warfare programs is highly desirable. Excellent written and verbal communication skills and the ability to present technical content to mixed audiences. Ability to work independently and in collaborative environments with cross-functional teams. Must be a U.S. Citizen and have the ability to possess an active DoD Secret clearance. Preferred Qualifications: Direct experience supporting SWFTS tools (MicroSWFTS, ASIST, NTPRO). BYG-1 CCS Experience TI-14 or above. Familiarity with Agile or DevSecOps environments. Understanding of NAVSEA and NUWC engineering practices and acquisition standards. Experience with Navy labs, tactical networks, or classified development environments. Certifications in relevant technologies (e.g., Kubernetes, Red Hat, AWS) are a plus. Work Location: Middletown, RI MIKEL offers a competitive salary and a comprehensive benefits package that includes Medical/Dental/Vision Insurance, Flexible Spending Account (FSA), 401k Retirement Plan, Life Insurance, Disability Insurance, Paid Time Off (PTO), and Tuition Reimbursement. Department of Defense Secret Security Clearance or higher is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required. MIKEL is an Equal Opportunity Employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

We're searching for a Registered Roofing Consultant / Engineer who's motivated to take full ownership of challenging and rewarding building envelope projects. In this role, you'll work on everything from modern facilities to buildings that have stood for more than a century -bringing your technical expertise into real-world environments every day. You'll be hands-on in the field, uncovering issues, providing assessments, and driving the right solutions. On the design side, you'll help develop drawings and details, perform calculations, and prepare specifications. You'll also support bidding, oversee construction progress, and help ensure the work gets done the right way. This position offers the chance to be a trusted partner to clients and a leader within the team. You'll contribute to strengthening relationships, support business development, and help deliver the kind of service that keeps clients coming back. What you'll bring: •Bachelor's degree in Civil or Architectural Engineering •5+ years of experience focused on roofing, exterior cladding, siding, and waterproofing design •Registered Roofing Consultant (RRC) required •Strong communication skills, with the ability to collaborate and advise confidently This is an opportunity to grow your expertise, expand your impact, and build a career path where leadership, development, and continuous learning are actively encouraged.

McLaughlin Research Corporation has an immediate opening for an Entry Level Electrical Engineer supporting the Naval Undersea Warfare Center (NUWC) Division Newport. The Naval Undersea Warfare Center (NUWC) is the United States Navy's full-spectrum research, development, test and evaluation, engineering and fleet support center for submarines, autonomous underwater systems, and offensive and defensive weapons systems associated with undersea warfare. The qualified individual will have knowledge of embedded systems and of electrical schematics. This position will provide system support for reverse engineering and material exploitation projects to determine the characteristics, capabilities, and limitations of said systems. Requirements Bachelor's Degree in Electrical Engineering. Ability to qualify for a Secret level clearance. Equal Employment Opportunity Statement: McLaughlin Research Corporation is an Equal Opportunity and Affirmative Action Employer. It is our policy to recruit, hire, promote, and train for all positions without regard to age, race, creed, religion, national origin, gender identity, marital status, sexual orientation, family responsibilities, pregnancy, minorities, genetic information, status as a person with a disability, amnesty or status as a protected veteran, and to base all such decisions upon the individual's qualifications and ability to perform the work assigned, consistent with contractual requirements and all federal, state and, local laws. EEO is the Law: Applicants and employees are protected under Federal law from discrimination.

Years spent building on the restaurant front lines taught us how to build for speed, reliability, and complexity. Built for the dinner rush, our cloud-based platform and tough hardware now power high-velocity operations beyond restaurants. Join us to expand Toast's impact to other industries - helping all kinds of business operators delight their customers, do what they love, and thrive. Bready* to make a change? Toast's New Ventures business unit has the goal of researching, developing, and eventually scaling a new generation of products and business lines that can have a substantial impact on Toast's long-term growth. In this unique role, you will be one of the founding engineers on one of our New Venture teams. If you are the type of engineer who would love to build from scratch on the existing Toast ecosystem, this could be the perfect job for you. We are in the early stages of building out features that cater to new types of establishments, and have seen an exciting level of interest in early conversations with operators. We're scrappy and motivated to capture this growth, with many opportunities to make a big impact in this emerging space! About this roll* (Responsibilities) Lead mobile development for a new team to address critical operator needs currently unmet by Toast. Own the architecture and mobile implementation for key features and components for the New Venture across the Toast codebase. Understands operator needs and contributes to the team's business strategy. Collaborate closely with New Ventures Leads to successfully launch an MVP and facilitate its scalable adoption by a broad customer base. Navigate diverse codebases across disciplines to consistently deliver high-quality code within established timelines. Demonstrate a high degree of ownership in all aspects of development. Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. Do you have the right ingredients*? (Requirements) A track record of significant technical and business impact across multiple teams. Experience (or interest) in 0 -> 1 builds. Expertise in building robust and scalable Android applications using Kotlin, with a strong understanding of distributed systems, asynchronous communication, event-driven architecture, mobile APIs, and integration patterns. Demonstrated ability to deliver clean, maintainable, and resilient code that withstands the test of time. Exceptional communication and collaboration skills, with the ability to unify and motivate cross-functional teams. Experience in communicating technical designs across teams and organizations. Act as a collaborative and solution-oriented partner to leadership and colleagues. Proficiency in Kotlin (preferred) or Java AI at Toast At Toast we're Hungry to Build and Learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it's a core part of our culture. Our Spread* of Total Rewards We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters' changing needs. Learn more about our benefits at ******************************************** *Bread puns encouraged but not required The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible). Pay Range$155,000-$248,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient-when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: ********************************************* Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.