Trabajos computer engineer en Boston, Massachusetts - Page 6Crear alertas

Job Description Motional's global headquarters are located at 100 Northern Avenue in Boston, MA. Nestled in the bustling Seaport district with sweeping views of Boston Harbor and downtown Boston, the office is located close to major transit lines and a quick walk to various restaurants and popular attractions. Mission Summary: Motional's CORE team is responsible for our vehicle's Compute and Onboard Runtime Environment. We are creating a world leading AI compute platform for autonomous vehicles. This is the system that executes the software and neural networks that make our vehicles autonomous. The Next-Gen Technologies team is part of CORE. We work at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional's on-board vehicle architecture. If you are a software engineer and love the idea of working on embedded AI hardware and software systems to create the next generation of autonomous vehicles, we would love to talk with you. What You'll Be Doing: As a senior engineer in the Next-Gen Technologies team, you will help us improve the compute performance of our current generation and next-generation autonomous driving systems through participating in full lifecycle development from idea to proofs-of-concept to production. Specifically, you will: • Focus deeply on ML model deployment, integration of multiple ML models, and ML model optimization on embedded compute platforms., • Dive deep into the full ML software stack. Analyze ML workload performance on a variety of hardware processors, optimize ML models, improve ML software, and help us continually improve our stack through the application of efficient and effective ML approaches., • Design, develop, test, integrate, and optimize software and tools on a variety of ML compute architectures., • Collaborate with deep learning experts in perception, prediction, and other autonomous driving application areas to enable algorithms on GPU, NPU, and other ML accelerator architectures., • Optimize the utilization of GPU/NPU resources and sharing of GPU/NPU access across multiple programs running on the same system., • Lead designs to determine the needs of the system and how to best meet those needs through continually improving our ML software stack., • Experience with machine learning accelerators, including GPUs, NPUs, TPUs, and their programming environments, including CUDA, TensorRT, or similar technologies., • Strong experience with modern C++ development in a Linux environment., • Experience with parallel and high-performance computing., • Comfortable with experimentation and evaluating different options as we work towards finding solutions that work., • Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks., • Experience with embedded systems development for ARM-based system-on-chip architectures., • Experience working in a MLOps or DevOps environment., • Passion for self-driving technology and its potential for positive impact on the world. This role is hybrid from our Boston office. It requires two in-office days each week, ideally Tuesday and Thursday. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$159,000—$207,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionAt Laminar (formerly H2Ok Innovations), we're leading the charge in cleantech innovation, reshaping process industrials and manufacturing to drive operational efficiency and sustainability for our world’s most foundational industries. Powered by our Laminar AI Co-pilot models and state-of-the-art sensors, our solutions optimize facility performance across various processes, including process manufacturing, production, water management, energy reduction, and waste minimization. Based at Greentown Labs, North America's premier cleantech innovation community, we're a woman-founded startup backed by renowned investors like Greycroft, Construct Capital, 2048 Ventures, and Flybridge Capital. Our groundbreaking technologies have earned accolades and adoption from industry giants like Unilever, The Coca-Cola Company, ABinBev, and Mitsubishi Electric. We're committed to unlocking untapped data for our customers, empowering them to gain a competitive edge and create Industry 4.0. Transforming our most foundational sectors of society is hard. Very hard. But we’re building an empire. And empire building is not easy. It’s deeply fulfilling, and you will learn and grow tremendously while driving sustainable impact globally with some of the largest players that make everything we eat, use, and wear. Our culture is to foster extraordinary growth within our teammates. We believe in autonomy, ownership, empowerment, demanding excellence, being mission-driven. We believe in creativity, authenticity, and extraordinary growth. We’re looking for relentless, ambitious, creative, and exceptional people to join our team and build the factory of the future. We’re looking for an exceptional Embedded Software Engineer to join our engineering team and help build the core IoT technology behind Laminar's platform. Since we are a small team, we’re constantly picking up new challenges and really value engineers who can spot a problem and just get it done. You’ll play a key role in scaling our sensing and edge compute systems used by some of the world’s largest manufacturers. This is a unique opportunity to shape how critical industrial data is captured and used in real-time—while driving measurable impact on sustainability, water conservation, and energy efficiency at global scale. We’re looking for hands-on builders who thrive in fast-paced environments, enjoy solving tough technical problems, and want their work to have lasting real-world impact. Title and scope will depend on experience.What You Will Do • Firmware Development: Write reliable and efficient embedded C/C++ code for our in-line sensing and edge compute devices deployed in industrial environments, • Protocol Integration: Implement and support industrial communication protocols such as Modbus, Ethernet/IP, and Profinet to interface with PLCs and control systems., • RTOS Implementation: Use real-time operating systems like Zephyr to manage timing-sensitive operations and ensure deterministic system behavior., • Security Engineering: Build and design secure firmware and communication pipelines, including encryption, secure boot, and OTA update frameworks., • Cross-Team Collaboration: Work closely with hardware, software, and data teams to deliver production-ready systems., • Testing & Validation: Contribute to system-level testing, debugging, and validation in both simulated and real-world environments., • Field Support: Help with diagnostics, debugging, and support for devices deployed in customer environments., • Documentation: Write and maintain technical documentation for embedded designs, protocols, and interfaces.About You, • Proven ability to consistently deliver high volumes of robust, production-quality software efficiently within complex systems, or demonstrated potential to operate at this level., • Bachelor’s or higher degree in Computer Engineering, Electrical Engineering, or related field, • Experience developing embedded software in C/C++, • Experienced with microcontrollers and low-level I/O, • Experienced with real-time operating systems like Zephyr, • Proficient in Python for development tasks, scripting, or test tooling, • Strong grasp of object-oriented design principles (e.g. encapsulation, inheritance, polymorphism), • Exposure to RTOS environments (Zephyr preferred), • Ability to work successfully in a fast-paced team environment/product iteration cycle, • Motivated, driven, startup founder mindset, desire to drive positive change in the world, • Excellent communication and teamwork abilitiesBenefits, • Full-time position with competitive compensation and benefits, • Direct impact on product and culture., • Comprehensive benefits package including Medical, Dental, Vision, Life Insurance, Disability, Transportation benefit, Health and Wellness benefit, and more., • 401k plan with employer matching, • Equity, • Competitive salary and bonus opportunities., • Dynamic and inclusive work environment., • Opportunities for growth and professional development., • Access to Greentown Labs' extensive network of cleantech startups.Learn How We Think, • Learn about our startup journey: Our Journey, • How we're combating climate change: AI-Powered Climate Tech

Job Description Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation. What You'll Do: • Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint., • Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable., • Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions., • Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components., • Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence., • Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment. What We're Looking For: • BS in Computer Science, Machine Learning, or related field, or equivalent professional experience., • 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment., • Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models., • Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning., • Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX)., • Strong software engineering fundamentals: testing, CI/CD, containerization, and system design., • Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference., • Demonstrated ability to ship production-grade ML systems and mentor team members., • Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers Bonus Points (Nice-to-Haves): • MS/PhD in Computer Science, Machine Learning, or related field., • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning., • Background in autonomous driving, robotics, or real-time decision-making systems., • Familiarity with multimodal learning, sensor fusion, or embodied AI., • Experience building active learning loops, using the model to find the data that breaks the model., • Experience with ML-based data mining, active learning, or contrastive learning., • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms., • Publications or open-source contributions in RL, distillation, or efficient ML. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$172,000—$229,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionFieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. FieldAI is seeking a Software Engineer, Human-Robot Interaction. In this role, you'll shape how humans and robots communicate, collaborate, and build trust in real-world environments. From natural language dialogue systems to intuitive interaction paradigms, you'll design the interfaces that make our robots approachable, understandable, and effective partners for operators across diverse industries. This position sits at the intersection of robotics, AI, and human factors. You'll work closely with both research and product teams, translating cutting-edge HRI insights into field-ready interaction systems that ship to customers. You'll leverage foundation models to push beyond conventional command-and-control interfaces, enabling rich, context-aware dialogue and adaptive robot behaviors. If you're energized by bridging research and deployment to solve ambitious problems in embodied intelligence, we want to hear from you.What You Will Get To Do • Design & Build Human-Robot Interaction Systems, • Architect and implement dialogue systems that enable natural, multimodal communication between operators and robots., • Develop interaction frameworks that adapt to user expertise levels, environmental context, and task requirements., • Create intuitive mechanisms for operators to understand robot intent, state, and decision-making., • Leverage Foundation Models for Intelligent Interaction, • Integrate foundation models into HRI pipelines., • Design systems to improve the efficiency and performance of foundation models on edge., • Evaluate and iterate on model outputs to ensure safe, reliable, and contextually appropriate robot responses., • Bridge Research & Deployment, • Translate HRI research insights into practical, field-deployable systems, • Conduct user studies and field experiments to validate interaction designs, • Build robust systems that perform reliably in unstructured, real-world environments, • Collaborate Across Disciplines, • Partner with perception, planning, and autonomy engineers to create cohesive human-robot experiences., • Work with product and UX teams to align interaction designs with user needs., • Collaborate with customers to develop bespoke HRI solutions and see your work deployed in the field.What You Bring, • Bachelor’s degree in Computer Science, Robotics, Human-Computer Interaction, or a related field, or equivalent industry experience, • Hands-on experience developing human-robot interaction systems, including dialogue systems, natural language interfaces, or multimodal interaction, • Proficiency with foundation models and their integration into production software systems, • Strong programming skills in Python and C++, • Solid understanding of HRI principles, including user modeling, explainability, and trust calibration, • Strong problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams, • Ability to translate research ideas into practical, field-deployable systems, • Excellent communication skills and a highly collaborative mindsetWhat Will Set You Apart, • Master’s degree in Computer Science, Robotics, Human-Robot Interaction, or a related field, • Experience with robotics middleware for real-time systems, • Publications in top-tier venues such as HRI, CHI, ICRA, RSS, CoRL, ACL, or EMNLP, • Experience with speech recognition, natural language understanding, or dialogue management frameworks, • Familiarity with user study design and evaluation methodologies, • Contributions to open-source robotics or NLP projects

Job DescriptionCompany Description The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise grade AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale. Ikigai Labs is seeking a dynamic and passionate Senior Front End Software Engineer with strong software fundamentals to join a high-performing data platform development team. This is a unique opportunity with personal and leadership growth opportunities. You will join a small team that is responsible for the UI implementation and maintenance across a number of functional areas. This is an opportunity to contribute on a daily basis to improving our users' experiences and build unique expertise in our product. You will be joining a team of talented and passionate engineers who delight in owning the code and ensuring quality for these diverse functional areas. We require candidates to have extensive experience with React TypeScript and an expert level knack for solving complex problems within our engineering organization. ROLE: • You'll brainstorm with Product Managers and Designers to conceptualize new features and solutions, • You'll collaborate with other teams within engineering to build new features for our growing user base, • You'll work with our support team triage bugs and troubleshoot production issues, • You’ll act as a technical leader by making significant technical contributions to the planning and implementation of mid to large-scale projects from conception to completion, • You’ll act as a subject matter expert within the organization while resolving complex technical issues or challenges, • Languages: TypeScript/JavaScript, HTML, CSS, • Frameworks: React.js, RTK Query, Redux, Playwright, • 5+ years of experience, • Bachelor’s degree in Computer Science or related field, • Advanced knowledge of Typescript is a must, • Advanced knowledge of React and state management libraries, • Experience using/consuming REST APIs with an advanced understanding of client-server, • interaction, • Experience with AGILE/Scrum development methods, • Proficiency in SQL/relational databases, • Experience with CI/CD pipelines a2hX4tc2Bt

Job Description Mission Summary: We are seeking a capable and highly motivated Senior Engineer for our Developer Platform - Engineering Enablement (EE) team to enable teams to work more effectively by partnering with them to improve tooling and processes. You will join a talented team of engineers and collaborate closely with teams across the organization to identify pain points and drive initiatives that empower teams to deliver on Motional's mission. This position may work remotely from anywhere in the United States, or out of our Boston, MA or Pittsburgh, PA office (hybrid). What will you be doing? • Develop and maintain tools and systems that optimizes the development lifecycle, including CI/CD pipelines, build systems, toolchains and code quality tools., • Develop and maintain automation, services and bots to reduce developer toil., • Develop pipelines to capture metrics that track Motional's developer experience., • Work closely with engineering teams around the world (Singapore, US) to understand their needs, identify pain-points and drive initiatives to improve their development workflows., • BS in Computer Science, Engineering, or equivalent knowledge and work experience., • 5+ years of experience in DevProd or related roles., • Strong background in Modern C++ (C++17 and beyond) and Python., • Proficient with Bazel, build tools, debugging tools, toolchains and hermetic build environments., • Knowledge of CI/CD tools (e.g. GitLab CI, Jenkins)., • Experience with software engineering principles including requirements gathering, software design, source control management, build processes, code reviews, testing methods., • Experience with Linux environments, software, and toolchains., • Strong communication and interpersonal skills., • Exceptional problem solving skills., • Experience in the AV industry or robotics., • Experience with cloud platforms (e.g. AWS, GCP)., • Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)., • Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Cloudwatch, Datadog). Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$159,000—$207,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description About InvoiceCloud: InvoiceCloud is a fast-growing fintech leader recognized with 20 major awards in 2025, including USA TODAY and Boston Globe Top Workplaces, multiple SaaS Awards wins for Best Solution for Finance and FinTech, and national customer service honors from Stevie and the Business Intelligence Group. Judges also highlighted our mission to reduce digital exclusion and restore simplicity and dignity to how people pay for essential services, as well as our leadership in AI maturity and responsible innovation. It's an award-winning, purpose-driven environment where top talent thrives. To learn more, visit InvoiceCloud.com. Job Details The Product Reliability Engineering team at InvoiceCloud partners with Software Engineering to monitor, support, and improve the reliability of the SaaS platform powering millions of digital payments and customer interactions every month. As an Associate Product Reliability Engineer, you will build foundational technical and diagnostic skills while supporting production operations for InvoiceCloud's Payment Service Network. With guidance from senior team members, you'll assist in debugging, monitoring, and incident response, and contribute to improving reliability through automation, dashboards, and documentation. Working closely with experienced engineers and product support teams, you will gain exposure to InvoiceCloud's codebase, incident management practices, agile workflows, and delivery standards while building confidence and independence. Success Profile At InvoiceCloud, success in this role is grounded in our core competencies. These competencies represent the mindsets and behaviors that enable team members to deliver impact, innovate, and create value for our customers. Below outlines how each competency translates into meaningful actions and outcomes for this position. Results Driven • Supports issue triage and debugging across production systems, using logs, metrics, and traces to identify symptoms and narrow hypotheses., • Writes clean, functional, and well-tested code (primarily .NET/C#) to deliver small reliability improvements, automation, and fixes with defined scope and guidance., • Assists in building and maintaining monitoring dashboards and alerting to improve visibility into platform health., • Owns assigned incident tickets or operational work items through resolution, communicating progress, impact, and blockers clearly., • Documents recurring issues, troubleshooting steps, and runbooks so others can respond consistently and efficiently., • Partners with senior engineers and product support teams to reproduce issues, validate fixes, and confirm service restoration., • Uses Git and standard branching/review practices to streamline collaboration and ensure operational changes are traceable., • Creates or improves automation scripts (PowerShell and/or Python) to reduce repetitive operational work and speed up diagnostics., • Learns to prioritize reliability work using impact and urgency (e.g., incident severity, customer impact, and SLO risk) while meeting sprint goals., • Explores reliability and observability tools and techniques that improve detection, diagnosis, and recovery (e.g., better logging, actionable alerts, and dashboards)., • Leverages AI-assisted development tools (e.g., GitHub Copilot, Cursor, Windsurf) for debugging, code generation, and documentation, while learning to validate AI output critically., • Contributes ideas for improving incident response, post-mortem practices, and production readiness during feature delivery., • Bachelor's degree in Computer Science, Engineering, or related technical discipline, • 0–2 years of experience in software engineering, DevOps, production support, or technical support (internship, co-op, or professional), • Understanding of object-oriented programming, basic data structures, and algorithms, • Familiarity with .NET/.NET Framework, C#, SQL, and version control systems (Git), • Exposure to cloud environments (Azure preferred) and basic concepts like deployments, configuration, and networking fundamentals, • Exposure to scripting for automation and troubleshooting (Python and/or PowerShell), • Familiarity with monitoring/observability tools or concepts (dashboards, alerts, log queries); experience with New Relic or similar is a plus InvoiceCloud is committed to providing equal employment opportunities to all employees and applicants. We do not tolerate discrimination or harassment of any kind based on race, color, religion, age, sex, nationality, disability, genetic information, veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected under applicable laws. This commitment applies to all aspects of employment, including recruitment, hiring, placement, promotion, termination, layoff, recall, transfer, leave, compensation, and training. If you require a disability-related or religious accommodation during the application or recruitment process, and wish to discuss possible adjustments, please contact . Click here to review InvoiceCloud's Job Applicant Privacy Policy. For recruitment agencies: InvoiceCloud does not accept unsolicited resumes from agencies. Please do not forward resumes to our job aliases, employees, or any other company location. InvoiceCloud is not responsible for any fees associated with unsolicited submissions.

Job Description 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 klaviyo.com/careers to see how we empower creators to own their own destiny. Position Title: Senior Software Engineer About the Team: Profile data is the bedrock upon which Klaviyo's entire product ecosystem is built. The Profiles, Identity, and Consent teams tackle massive distributed systems challenges, operating at a breathtaking scale—storing tens of billions of records and processing billions of reads and writes every single day. We own the highly available platform that defines "who" a customer is and "how" they can be reached. By partnering with data warehousing, segmentation, and messaging teams, you will architect the foundational data pipelines that power Klaviyo's core product capabilities worldwide. Key Responsibilities: • Design and operate scalable distributed systems for identity resolution and consent, • Collaborate cross-functionally to translate requirements into robust technical designs, • Author technical design docs and service contracts for operational excellence, • Participate in on-call rotations to continuously improve system reliability, • Provide technical mentorship and conduct thoughtful code and design reviews, • 7+ years of software engineering experience with strong computer science fundamentals, • Expertise in building backend service-oriented applications and REST/gRPC APIs, • Hands-on experience scaling distributed systems for performance and consistency., • Proficiency with streaming and batch processing systems, • Production experience with relational database schema design and optimization, • Excellent communication skills for leading execution and driving team alignment, • BA/BS in Computer Science, a related field, or equivalent practical experience, • Languages: Python, SQL, Golang, • Databases: Aurora MySQL, ProxySQL, Redis, • Streaming and Batch: Apache Kafka, Pulsar, Spark, Iceberg, • Infrastructure: AWS, Terraform, Docker, Kubernetes, Buildkite 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:$148,000—$222,000 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).

Job DescriptionAbout the Role We are seeking a Senior Data Engineer to join Natera's Therapeutics & Innovations group, which focuses on leveraging Natera's multimodal data assets to enable therapeutic development and scientific innovation. The group works with large-scale biomedical datasets to support therapeutic development, biomarker discovery, and translational research, and is in the process of building shared data foundations to unify and scale these efforts. This role is part of a broader initiative to develop a shared, platform-level data system that spans multi-modal data ingestion, backend services, AI-enabled data access, and web interfaces. The initial focus of the role is on designing and implementing robust data ingestion and transformation pipelines, with scope expanding over time into backend APIs, data-access layers, and LLM-driven analysis tools as the platform matures. Responsibilities * Architect, implement, and maintain data ingestion and transformation pipelines using modern workflow orchestration tools (e.g. Dagster) * Identify, catalog, and integrate internal and external data sources used across research efforts * Operationalize bioinformatics pipelines that support large-scale batch processing, incremental updates, and backfills within AWS * Normalize and structure heterogeneous data into consistent, reusable representations that support downstream analysis, modeling, and querying * Populate and maintain patient-centric data models in shared storage systems (e.g., graph and relational databases) * Collaborate with backend and AI engineers to design data-access patterns that support analytics applications and AI-driven interactions * Contribute to backend services and APIs that expose integrated data to internal tools and applications * Participate in the evolution of AI-enabled analysis workflows, including tooling that supports LLM- or agent-based interactions with data * Contribute to system-level design decisions around data flow, service boundaries, reliability, and scalability * Write clean, tested, and well-documented Python code that meets production software engineering standards * Debug and resolve complex data quality, pipeline, backend, and infrastructure issues in a distributed environment Required Qualifications * BS in Computer Science, Bioinformatics, Computational Biology, or a related field, MS preferred * 4+ years of experience in production data engineering or software engineering * Independently drive technical solutions from high-level goals, exercising judgment in system design, implementation, and tradeoff evaluation * Strong proficiency in Python, with experience writing maintainable, production-quality code across data and backend contexts * Extensive experience with software engineering fundamentals, design patterns, version control, CI/CD, Docker, and automated testing * Experience designing and operating workflow orchestration systems (Dagster preferred; Airflow, Prefect, or similar acceptable) * Experience building or contributing to backend services (e.g., FastAPI or similar frameworks) * Hands-on experience with AWS services commonly used in data and backend systems (e.g., S3, ECS, Batch, Lambda) * Experience deploying and operating large-scale data or bioinformatics pipelines in AWS, including managing throughput, cost, and operational reliability * Experience with relational databases (Postgres, MySQL) and/or graph databases (Neo4j), including schema and query design * Experience contributing to system-level architecture, including data modeling, service boundaries, and operational robustness * Ability to work effectively with scientists, bioinformaticians, and ML practitioners in an R&D environment Preferred Qualifications * Experience integrating machine-learning inference outputs into data pipelines * Familiarity with LLM-based agents and associated frameworks such as LangChain * Familiarity with bioinformatics data formats and pipelines (e.g., FASTQ, BAM/CRAM, VCF, RNAseq, WES/WGS) * Experience with infrastructure as code (Terraform) * Experience with DNAnexus * Understanding of genomics, proteomics, or other omics data types and their downstream analytical use cases * Ability to evaluate build-vs-buy tradeoffs in fast paced environments The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.Remote USA$125,000—$155,000 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit . Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: • BBB announcement on job scams, • FBI Cyber Crime resource page

Job DescriptionAt 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 a Senior Software Engineer to join the Business Systems team. In this role, you will design and implement the backend systems that power WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll architect and maintain critical services and integrations that support Finance, Operations, Member Services, and other business functions. By building reliable, secure, and performant systems, you’ll directly shape how WHOOP delivers value to its members and scales globally.RESPONSIBILITIES: • Architect, develop, and maintain backend services and APIs that power business-critical systems and integrations., • Lead the design and implementation of scalable data pipelines, automation, and workflows that improve operational efficiency., • Partner with stakeholders across the business to deeply understand needs and translate them into technical solutions., • Drive technical excellence through code reviews, best practices, and mentorship of other engineers., • Ensure reliability, performance, and security across backend systems, with a focus on scalability as WHOOP grows., • Contribute to long-term technical strategy for Business Systems and identify opportunities for automation and process improvement.QUALIFICATIONS:, • BS in Computer Science, Engineering, or equivalent experience., • 5+ years of professional backend software engineering experience., • Strong proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar)., • Experience designing and maintaining APIs, integrations, and middleware., • Solid understanding of relational databases, data modeling, and query optimization., • Experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems., • Proven ability to collaborate cross-functionally and deliver solutions that balance business and technical needs., • Experience mentoring engineers and contributing to a culture of learning and growth.

Job DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is looking for an experienced Staff Embedded Engineer to join our Software Organization as part of the Embedded Engineering team. In this role, you will provide technical leadership across firmware platforms and drive multi-quarter, cross-functional initiatives that are critical to WHOOP’s hardware and software roadmap.The Embedded team’s mission is to build and deploy stable, accurate, and power-efficient firmware platforms for all in-house developed WHOOP devices, enabling seamless 24/7 connectivity and interaction with our mobile applications across multiple product generations. At WHOOP, the Embedded team sits at the intersection of the Hardware and Software domains, bridging the physical and digital worlds. As a Staff Embedded Engineer, you will help define how this intersection operates at scale by setting technical direction, aligning teams, and building durable firmware systems that power WHOOP products.RESPONSIBILITIES: • Provide technical leadership and architectural ownership for firmware platforms and system-level components used across one or more WHOOP product lines., • Design, develop, and test embedded firmware in C, contributing hands-on to critical areas while ensuring solutions scale across platforms and product generations., • Autonomously identify, define, and drive solutions to ambiguous, cross-cutting firmware and system-level problems with long-term departmental impact., • Influence firmware, hardware, and manufacturing roadmaps by identifying technical risks, opportunities, and strategic investments across multiple quarters., • Lead the resolution of complex, cross-team issues spanning firmware, hardware, manufacturing, and system integration, including root cause analysis and long-term prevention., • Define and uphold firmware architecture standards, documentation practices, and design review expectations adopted across the Embedded group., • Lead code and design reviews across teams, setting the bar for clarity, correctness, maintainability, and long-term quality., • Define and drive scalable testing, validation, and CI strategies that improve firmware quality and developer velocity across teams., • Influence hardware design decisions by evaluating components, defining firmware-hardware interfaces, and proactively identifying system-level tradeoffs., • Drive alignment across Electrical, Signal Processing, Mobile, Manufacturing, and Product teams, resolving ambiguity and ensuring cohesive system design., • Mentor and sponsor senior engineers and emerging technical leaders, multiplying impact by raising the technical bar across teams., • Identify and drive strategic investments that improve performance, power efficiency, stability, and reliability across firmware platforms., • Leverage AI and emerging development tools to improve firmware development practices, establishing best practices across the Embedded group.REQUIREMENTS:, • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field., • 8+ years of embedded firmware development experience, including ownership of system-level architecture or platform components across multiple products or generations., • Expert-level proficiency in C and embedded systems development on 32-bit RISC architectures (e.g., ARM Cortex)., • Strong experience with low-power embedded system design and optimization., • Experience working with operating systems (OS) and real-time operating systems (RTOS)., • Deep understanding of system communication protocols such as I2C, SPI, USART/UART, and BLE., • Strong experience with electronics debugging tools including oscilloscopes, logic analyzers, multimeters, power supplies, and power measurement equipment., • Proven experience leading technically ambiguous, cross-team initiatives and influencing technical direction without formal authority., • Strong understanding of electrical engineering fundamentals, including reading schematics and hardware specifications., • Experience with version control using git and modern CI/CD workflows., • Experience with unit, integration, and system-level testing for embedded systems., • Experience working on high-volume consumer electronics products preferred., • Excellent written and verbal communication skills, with the ability to communicate technical concepts clearly to both technical and non-technical audiences.

Job DescriptionAbout Multiply Labs Multiply Labs is a cutting-edge startup based in San Francisco, California, supported by top-tier tech and life science investors such as Casdin Capital, Lux Capital, and Y Combinator. We are revolutionizing the manufacturing of cell therapies by developing advanced robotic systems designed to automate and scale the production of these life-saving treatments. Our robots empower biopharma companies to produce cell therapies at scale without significantly changing their existing processes, reducing regulatory barriers and risks. While traditional approaches are time-consuming and lead to extremely high costs for patients (typically $1M+ per patient), using robotics can make these transformative treatments more accessible and affordable to patients in need. To learn more and to view a video of our robots in action, visit us at and follow us on LinkedIn. You can also read our latest peer-reviewed study, which highlights the statistical equivalence between manual and automated cell expansion processes, at cytotherapy.org. About the Role As a senior member of our Software Engineering Team, you will be a key technical leader responsible for the intelligent software that powers our automated manufacturing systems. Working at the intersection of robotics and biopharma, you'll collaborate with a world-class team to solve complex challenges. This role is for a passionate, hands-on engineer dedicated to building robust systems that have a direct impact on patient lives.Responsibilities Include: • Scheduler Development: Implement and optimize sophisticated algorithms for multi-day, multi-agent scheduling. You will maximize throughput and prevent deadlocks in a shared-resource environment with variable execution times., • Resource Allocation: Develop logic to intelligently manage shared resources (e.g., incubators, liquid handlers) across parallel manufacturing batches., • Distributed Systems Design: Architect and implement the software layer that manages the state and coordination of a multi-robot cluster., • Resilient Orchestration: Design logic to maintain production continuity during hardware interruptions. You will implement mechanisms to isolate specific failures, ensuring that unaffected batches continue processing while the affected resources are addressed., • Cloud-Cluster Connectivity: Implement the communication layer connecting on-premise robotic clusters with our AWS backend, focusing on reliable state synchronization and data persistence., • Simulation & Testing: Build fast, discrete-event simulations to validate scheduling logic and throughput assumptions before code hits physical hardware., • CI/CD & DevOps: Maintain and improve automated integration test suites to ensure the reliability of complex, non-deterministic systems., • Mentorship: Mentor junior engineers, conduct code reviews, and champion software engineering best practices (clean architecture, testing patterns) to elevate the team.Qualifications:, • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline., • 5+ years of professional experience in software engineering, with a focus on backend systems, distributed systems, or complex logic., • Expertise in Python and a strong command of software engineering fundamentals (e.g., system design, concurrency patterns, distributed architecture)., • Strong ability to implement complex logic and search algorithms (e.g., DFS/BFS, graph traversal, constraint satisfaction). You don't need prior robotics experience, but you must be excited to solve hard optimization problems., • Excellent communication and problem-solving skills, with the ability to translate complex biological process requirements into software logic., • Comfortable working in a fast-paced, technically challenging startup environment. Ability to balance context switching between multiple projects.Additional Qualifications – Considered a plus:, • Hands-on experience with AWS (Lambda, IoT Core, DynamoDB) and container orchestration., • Familiarity with interfacing with hardware or instruments via standard protocols (TCP/IP, WebSocket, REST, Serial)., • Deep comfort working in Linux environments, including networking configuration, systemd services, and shell scripting., • Experience implementing monitoring and alerting for distributed systems.Benefits, • 401K with 4% company match, • Health Insurance, • Dental Insurance, • Vision Insurance, • Life Insurance, • Partial Health Insurance for Child Dependents, • HSA or FSA, • Twice weekly catered lunch (for team members in SF office), • Pre-tax Commuter Benefit, • 10 Paid Holidays, • Flexible PTO

Job Description 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. Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at We love tackling tough engineering problems and look for Engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last. Klaviyo operates a real-time data platform built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.This role is based in Boston and requires working onsite three days per week Team Overview The Catalogs Team is responsible for processing and storing catalog related data at Klaviyo. We process and store all of our customer's data about the goods that they sell and the entities that they want to market to customers and pass them down to downstream systems for reporting and scalable querying capabilities. We process billions of requests every day. Responsibilities As an engineer on this team, you will be responsible for designing, building, and maintaining systems to support core product areas in Klaviyo. You will work with a cross functional team to help refine feature specifications, write technical design documents, create system infrastructure, write high quality code, and operate large scale systems in production. You will also review other engineer's designs and code, and provide technical mentorship to other engineers on the team and in the broader engineering organization. Team Tech Stack • Python, • Django, • Postgres, • Pulsar, • Kafka, • Redis, • EMR, • Iceberg, • AWSRequired Skills, • Must have 5+ years of experience in a software engineering discipline, • Highly skilled in using at least one modern programming language, • Experience designing, building, and operating large scale distributed systems in a cloud computing environment, • Experience with OLTP and OLAP databases, • Tuning queries and making them more performant, • Debugging and resolving issues with database performance in production environments, • Experience with high volume data processing and storage systems enabling high throughput and fast query lookups, • Experience using Linux operating systems, • Able to communicate well, both verbally and in writing, • Able to work with others on a team, • Able to learn continuously and adapt to a high growth environment, • Able to stick with and solve difficult problems, • BA or BS Degree in Computer Science, related field, or equivalent experience 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).

Job Description Apiphani is a technology-enabled managed services company dedicated to redefining what it means to support mission-critical enterprise workloads. We're a small but rapidly growing company, which means there's lots of room for growth and learning opportunities abound! Apiphani is dedicated to creating a diverse and inclusive work environment for all as a fundamental component of our business. Diversity and inclusion are the bedrock of creativity and innovation. Without diversity of experience and thought, we would fail to progress as a company and as a team. Apiphani strives to foster an environment of belonging, where every employee feels respected, valued, and empowered. We embrace the unique experiences, perspective, and cultural background, which only you can bring to the table. SAP Basis Engineer a.k.a. Application Support Engineer Job Description SAP Basis Engineers are responsible for providing technical support to client SAP basis systems. They are responsible for the technical aspects of enhancing, updating and deploying critical changes, designing new solutions, and creating procedures in the SAP area. They will report to the SAP Basis Manager. Job Duties • Perform project-based and production support responsibilities as needed to support apiphani managed client environments inclusive of SAP system migrations, SAP landscape refreshes, data protection including database backup & recovery, HA configurations and ongoing SAP system maintenance activities, e.g., SAP performance management, patching, problem management, etc., • Work within and outside the SAP department to determine best practices for future landscapes;, • Build and maintain comprehensive documentation for problem resolution actions, root cause, procedures, etc., • Drive continual improvement in systems operations through collaboration with both delivery and development teams., • Actively engage in root cause analysis, in collaboration with software development and other delivery teams., • Collaborate with team leaders and team members to review workflow processes and SOPs., • Execute against defined project goals. Required Skills • Bachelor of Science in Computer Science, Engineering, Applied Sciences, or equivalent work experience, • 3+ years of experience as an SAP Basis engineer in a service provider or advanced IT organization operating in a 24/7 environment, • Solid background administering the SAP HANA database, • Understanding of SAP security principles, • Experience with Red Hat Enterprise Linux and Ansible preferred, • Experience with configuration management and automation tools, • Experience with Sybase a plus, • Experience with SAP Business Objects a plus, • Familiarity with agile engineering practices (Kanban, continuous delivery, etc.), • Experience working in ITSM tools, ServiceNow preferred, • AWS and Azure service usage on commercial or government cloud, • Development experience with a high-level language such as python or java a plus, • Experience with Sybase ASE a plus, • Strong analytical and critical thinking skills, • Strong ownership bias, • Deadline and detail-oriented This position is fully remote. This position requires US Citizenship—work must be done within the borders of the US. Base Salary$110,000—$125,000 USDCompany Benefits* • Medical/dental/vision - 100% paid for employees, 50% paid for dependents, • Life and disability - 100% paid for employees, • 401K - 3% contribution, no employee contribution necessary, • Education and tuition reimbursement - up to $50K annually, • Employee Stock Options Plan, • Accident, critical illness, hospital indemnity benefits offered through our providers, • Employee Assistance Program, • Legal assistance, • Paid Time Off - up to 6 weeks per year, • Sick Leave - up to 2 weeks per year

Job Description About SimpliSafe We're a high-tech home security company that's passionate about protecting the life you've built and our mission of keeping Every Home Secure. And we've created a culture here that cares just as deeply about the career you're building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don't just want you to work here. We want you to grow and thrive here. We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday and Wednesday, to work together in person, and teams can choose where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done. Why are we hiring? Well, we're growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. What You'll Do As a Staff Embedded Software Engineer specializing in Wireless Networking, you will be a focused on the Systems Engineering task of optimizing SimpliSafe's Wireless communications systems to optimize performance, resilience and power. You will be a critical contributor to our product development, focusing on the intricate world of IoT device connectivity. This role demands a profound understanding of not only wireless radio and communication stacks but also the entire networking stack, from the physical layer up to the application. You will be responsible for debugging complex issues and meticulously optimizing every layer of the network stack to achieve unparalleled performance, reliability, and power efficiency in our cutting-edge IoT and camera devices. This is a hands-on role where you will dive deep into firmware, analyze network traffic, and collaborate closely with hardware, software, QA and cloud teams to deliver robust and highly optimized wireless solutions. Responsibilities: • Full Communications Stack Network Debugging & Optimization: Diagnose and resolve complex network connectivity, throughput, latency, and reliability issues across the entire networking stack, from the wireless radio (PHY/MAC layers) through TCP/IP and up to the application layer on embedded IoT devices., • Protocol Implementation & Tuning: Implement, port, and optimize low power wireless (802.11, HaLow, Thread) and TCP/IP protocols to meet specific performance, power, and memory constraints of embedded systems., • Performance Analysis: Conduct in-depth performance analysis of wireless and networking stacks, identifying bottlenecks and proposing innovative solutions for optimization (e.g., retransmission strategies, buffer management, concurrency, power management, scheduling)., • Root Cause Analysis: Perform detailed root cause analysis of intermittent and hard-to-reproduce networking issues using advanced debugging techniques and tools., • Cross-Functional Collaboration: Work closely with hardware engineers to characterize RF performance, integrate drivers, and troubleshoot hardware-firmware interactions. Collaborate with application software developers to ensure seamless integration and optimal use of network services., • Testing & Validation: Define and help develop and comprehensive test plans for wireless our QA and Automation teams to include unit, integration, and system-level tests., • Stay Current: Keep abreast of the latest advancements in wireless technologies, networking protocols, and embedded systems., • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field., • 5+ years of experience in embedded firmware development with a strong focus on wireless networking., • Expert-level proficiency in C/C++ for embedded systems., • Deep understanding of the entire TCP/IP networking stack (Layers 2-7), including Ethernet, IP, TCP, UDP, DNS, DHCP, Thread, etc., • Extensive experience with WiFi (802.11) protocols, including MAC layer operations, roaming, power saving modes, and coexistence., • Hands-on experience with embedded operating systems including FreeRTOS and Linux., • Experience with various microcontrollers (e.g., ARM Cortex-M/R) and their peripherals., • Proven ability to optimize embedded networking stacks for throughput, latency, power consumption, and memory footprint., • Strong understanding of network security concepts, protocols, certificates/keys, firewalls, packet inspection and filtering., • Familiarity with the following tools:, • Experience with Matter/Thread networking a plus., • Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them., • Aim High - Always challenging ourselves and others to raise the bar., • No Ego - Maintaining a "no job too small" attitude, and an open, inclusive and humble style., • One Team - Taking a highly collaborative approach to achieving success., • Lift As We Climb - Investing in developing others and helping others around us succeed., • A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive, • A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here), • Free SimpliSafe system and professional monitoring for your home. This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees' job-related skills, experience, qualifications, work location, and other relevant business factors. Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here. We're committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values. We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact .

Job DescriptionAbout this role:Pickle is on the hunt for a dynamic and driven Senior Software Engineer, Manipulation, to revolutionize the future of warehouse automation. You will design and develop algorithms that enable our manipulator arms to swiftly and safely manipulate and unload packages. If you thrive on solving real-world robotics problems in a collaborative, fast-paced startup environment, we’d love to hear from you.What You’ll Accomplish: • Design, implement, and optimize motion-planning algorithms to improve the safety and speed of our autonomous robotic manipulators., • Collaborate with cross-functional teams to integrate your contributions into the broader hardware and software system., • Play a key role in designing and contributing to the architecture of scalable software systems that support the deployment of multiple robots in diverse and dynamic environments., • Act as a mentor to other software engineers to improve the team’s overall capabilities in planning and manipulation.Who You Are:, • A software engineer with a Master’s degree in Computer Science, Robotics, or a similar field, and at least 5 years of relevant experience working with a mix of academic and industrial autonomous robots., • Experienced with motion planning for robotic manipulators, with a strong understanding of dynamics, sample-based planning, and optimization., • Experience with machine learning methods for planning is a definite plus., • Experienced in working with complex algorithms and capable of optimizing for performance and reliability., • Proficient in Python and C++Collaborative and communicative, focusing discussions on problem solving ideas and experiments to drive product innovation., • Detail-oriented, but with a system-level mindset., • Capable of debugging complex problems while maintaining system integrity., • Willing to work in the office from our Charlestown, MA location at least three days per week.

Job DescriptionAbout this role:Pickle is seeking a dynamic Senior Software Engineer to join the team and focus on enhancing the speed and performance of our truck-unloading robot. This role requires advanced expertise in robotics and machine learning to further elevate the intelligence of our systems.What You’ll Accomplish: • Research, prototype, and develop functions and algorithms that unlock new capabilities for our autonomous truck unloading robots, allowing them to handle increasingly complex tasks with greater efficiency., • Enhance the existing capabilities of our robots, driving improvements in both speed and reliability to optimize unload performance., • Characterize the system’s performance across a vast quantity of data and use it to inform future work, building better understanding of the system’s current and potential performance., • Collaborate with cross-functional software engineering teams to seamlessly integrate your contributions into broader hardware and software systems., • Play a key role in designing and contributing to the architecture of scalable software systems that support the deployment of multiple robots in diverse and dynamic environments., • Take ownership of key subdomains of the task planning system, providing context and guidance for fellow engineers who are less familiar with those aspects of the systemWho You are:, • A seasoned Software Engineer with 5-7 years of experience, preferably within robotics or a closely related field., • A graduate with a bachelor’s or master’s degree in robotics, computer science, or a similar discipline—Master’s degree preferred., • An engineer with a proven track record in developing autonomous robotic systems., • Highly proficient in object-oriented programming with Python (or C++), with experience in other relevant languages as a plus., • Experienced in motion and behavioral planning for robots or other autonomous systems, with a deep understanding of these key areas., • Experienced in working with complex algorithms and data pipelines, capable of optimizing for performance and scalability., • Some experience with aggregation and analysis of data, with a good eye for recognizing trends and turning them into actionable responses., • A strong, clear communicator who centers discussion on ideas and experiments.

Experience in System Security Engineering, computer technology reverse engineering, cybersecurity or embedded security Experience with NIST Risk Management Framework (RMF) RESPONSIBILITIES: Interact with the customer to define SSE requirements, solutions, trades, costs, implementation, system impact

While this role is titled Computer Engineer, we need someone who jumps into any engineering challenge that arises. Bachelor's degree in Computer Science, Computer Engineering, or related field (recent grads welcome). You'll work alongside mechatronics and computer engineers to implement scheduling s

As an Engineer on the Image & Computer Vision AI team, you will play a hands-on role in developing and deploying computer vision capabilities that support Babel Street's intelligence applications. Bachelor's degree in Computer Science, Engineering, Data Science, ora relatedtechnical fieldrequired. T

Requires a Bachelor's degree in Software Engineering, or a related Science, Engineering, Technology or Mathematics field. As an Embedded Software Engineer, working with custom Hardware built in-house, for our Cyber group, you'll be a member of a cross functional team responsible for developing missi

Requires a Bachelor's degree in Mechanical Engineering, or a related Science, Engineering or Mathematics field. Our client, a large defense contractor, has an immediate opening for a Mechanical Engineer to work from their Quincy, MA facility. As a Mechanical Design Engineer for the Autonomous Mariti

W2 JOB NUMBER: NGGJP00017056 6+ Month Contract to Start JOB DESCRIPTION: Waltham 1 x a week and when asked for meetings The Lead Integration Engineer is a collaborative, hands-on role on the Digital Platform Data Engineering Team responsible for designing sound, scalable, and performant solutions th

Job Description Our client, a leading med-device startup, is hiring for a Sr.This individual will have the opportunity to contribute to mission critical deep learning pipelines as they scale their product.This is a full-time role, hybrid in their Boston office.Hands on experience in Python, Tensorfl

Experience with Safety Engineering, Systems Engineering, Software Engineering, Electrical or Firmware Engineering. Experience with Earned Value Management Systems (EVMS) and Proposal Development Familiarity with Engineering Change Proposals, Engineering Review Boards, System Safety Working Groups Eq

Proficient in Model Based Systems Engineering (MBSE) and traditional systems engineering tools such as DOORs, JAMA, Cameo Systems Modeler, Magic Draw, JIRA, and SysML. The L3Harris Agile Systems Engineering department is seeking a systems engineer to join our team and support one of our newer progra

DATA ANALYST, Global Development Policy Center.DATA ANALYST, Global Development Policy Center.The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, tr

RESEARCH DATA ANALYST I, School of Medicine, Physiology & Biophysics.RESEARCH DATA ANALYST I, School of Medicine, Physiology & Biophysics.Boston University Medical Campus -->.The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to dep

We’re looking for Data Entry Specialists for Customer Products across the US to work from home and help top brands improve their products before they hit the market.

Proficient in Model-Based Systems Engineering (MBSE) and traditional systems engineering tools such as DOORs, CAMEO, CREO, JIRA, and SysML. Bachelor's degree in Engineering, Physics, or other related scientific discipline and 9 years of relevant EO/IR systems engineering work experience. L3Harris Sp

Over 5 years of experience in software engineering. Bachelors or Masters degree in computer science or a related field, or substantial professional experience. Collaborate with infrastructure engineers to package applications for cloud deployment.

Science, Technology, Engineering, or Mathematics (STEM). Reverse engineering or vulnerability assessment. Onsite in a secure engineering environment.

Come put your software engineering skills into action! The Command and Control Incident Management Emergency Response Application (C2IMERA) program in Leidos Defense Sector has current job opportunities for talented. The successful candidate will work collaboratively with an outstanding team of soft

Experience with Component Replacement Evaluations, Engineering Release reviews, and development of Technical Requirements Documents. Knowledge of systems engineering processes and practices for software‑intensive systems, including requirements decomposition, traceability, integration, and verific

Work closely with other engineers to develop the best technical design and approach for new product development. Ability to work and collaborate effectively within a multi-disciplined engineering team. The successful candidate will work collaboratively with an outstanding team of software developers