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At Casebook PBC, our software makes people’s lives better. We are committed to empowering community well-being through adaptive, research-based, and practice-driven technology. Designed to “help the helpers,” our innovative and award-winning SaaS solutions enhance outcomes in human services. We continually expand and evolve the Casebook Platform, aiming to support more agencies and inspire industry-wide innovation. At Casebook PBC, we are dedicated to fostering a multicultural, unprejudiced, and welcoming workplace where everyone feels included and valued. We believe that different perspectives, backgrounds, and experiences strengthen our ability to innovate and serve our clients effectively. Every employee is respected and empowered to contribute at their highest potential. Our commitment goes beyond providing opportunities—we actively create an environment where everyone has the support, resources, and recognition they need to thrive. Location: This is a remote US-based role. Candidates must be authorized to work in the US. At Casebook, our Engineering team drives innovation and efficiency across our technological infrastructure. This team of passionate experts collaborates with cross-functional teams to build seamless deployment pipelines, champion best practices, and stay at the forefront of emerging technologies. Their work ensures Casebook remains agile and adaptive in a rapidly evolving landscape. We are looking for a software/systems engineer with deep experience in building, testing, delivering enterprise cloud software, and is committed to standing up a shippable product as part of a diverse and high-performing team that includes client stakeholders, other software engineers, designers, QA testers, release managers, product managers, and infrastructure engineers. The candidate is a clever problem solver, with a profound understanding of web technology, architecture and process and who is able to find consensus around workable solutions. The candidate will have a lead role on an Agile development team and an ownership of Casebook Platform code repositories, internal engineering processes and helping improve engineering coding standards. Casebook Platform caters to all human services. The ideal candidate needs to have an engineering mindset, an exceptional appetite for cutting edge technological advances, and be enthusiastic about continuous learning. Casebook Platform follows cloud architecture and software design patterns with state of the art Continuous Integration and Continuous Deployment modeling. Additionally, the candidate will collaborate with design and product teams which includes client-facing delivery and implementation of the Casebook Platform for small non-profit organizations to large scale state and local government projects. * Provide technical leadership in the design, integration, implementation, and transition of enterprise SaaS human services system * Flexible design architectural approach to deliver configurability along the data creation, integrations, workflows, notifications, and data persistence * Understand and synthesize integration requirements, and develop recommendations based on business objectives, product roadmap, solution architecture and technical considerations * Contribute to the development of Casebook platform functionality using state-of-the-art frameworks and tools * Specify and troubleshoot API integrations in an ecosystem of multiple systems * Work closely with client stakeholders, partners, product managers, creative designers, platform architect, and other software engineers * Constantly learn and use leading-edge technologies * Implement a system that will address the needs of vulnerable populations * Contribute to the highest security, extensibility, reusability and testing standards in system architecture and software, interface, components, data structures, and algorithms specifications * Continuously introduce new AI tools and technologies to assist and enhance feature and functionality development, testing and approval * Experience building multi-tier web applications (Java) * Experience building microservices * Experience utilizing OpenAPI standards to deliver RESTful web services and integrating external systems * Expert with GraphQL, React, and TypeScript * Experience with Java, Spring Boot, Apache Kafka, ElasticSearch, ElastiCache, PostgreSQL, Redis, S3, and Redshift * Experience leading a major IT application implementation effort * Ability to synthesize information, remove roadblocks, to deliver optimal solutions * Experience working with all teams within a SaaS focused organization * Must have a strong background in SaaS software engineering principles * Strong analytical and technical skills to identify critical issues, escalate them, and drive them to resolution * Experience in an agile software development project * Experience using a software version control system (e.g., Git) in a project with multiple developers committing to a shared repository * Experience with IT security architecture and best practices * Experience with software testing, including test planning, integration testing and load and performance testing * Experience with an automated build, automated release, and CI/CD automation * Bachelor’s degree in Computer Science or related field (or equivalent work experience) * Great Place to Work Certified: We’re proud of our collaborative and supportive culture. * Competitive salary and benefits package. * Professional growth opportunities. * The chance to make a real difference by supporting those who help others. Compensation: $175,000 - 200,000 Salary + Bonus + Benefits + Equity See Casebook in action-Demo of Casebook: ___ See Casebook in action-Demo of Casebook: * Fully funded medical, dental, and vision plans. * 401(k) contributions. * Company shares * Generous paid time off to recharge and refresh. Visa sponsorship for this role is currently not available. #J-18808-Ljbffr

We love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers. This role is open to candidates based in or near Boston, MA. At LogicMonitor, we hire within our Centers of Energy—vibrant locations where our teams connect, collaborate, and innovate. To learn more about life at LogicMonitor, check out our Careers Page. LM Envision, LogicMonitors leading hybrid observability platform powered by AI, helps modern enterprises gain operational visibility into and predictability across their IT stacks, so they can continue to deliver extraordinary employee and customer experiences. LogicMonitor has a layered approach to intelligence, where AI and Machine Learning is baked into every facet of the LM Envision platform to help IT teams improve efficiency, minimize alert fatigue, proactively predict trends, and maximize enterprise growth and transformation. Our customers love LogicMonitors ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work, and named one of BuiltIns Best Places to Work for the seventh year in a row! As we enter this next phase of growth, we are in search of a Senior Sales Engineer (SE) to support the technical evaluation of LogicMonitor by proving out value in the platform to our MSP prospects in the pre-sales process. As Senior SE, you will be looked at as a product expert within the MSP sales organization. You will take ownership of the critical function of training the entire sales organization both as part of onboarding and also regularly on the LM product, to ensure the appropriate level of product and technical knowledge for the sales team to be most successful. As a crucial member of the Sales team at LogicMonitor, you will provide the technical knowledge and superior sales skills to help define goals around the sales engineering team. • Perform SE duties on trial calls as scheduled by AEs. Includes technically understanding prospect needs, technology skill level, and supporting AEs with requests to perform technical product demos and assist with trial set ups or expansion, • Trial optimization (proactively adding dashboards, creating sample reports, etc. for all trial prospects), • Lead technical/product training for new sales personnel on an ongoing basis, • Day-to-day product/technical support for trial prospects, • Log meetings and technical notes in Salesforce pertaining to the POC for each call (or onsite) with the customer, • Demonstrates the technical aspects of how the product solves specific customer problems, and translates specific customer problems into technical solutions, • LM subject matter expert, • Identifies all technical issues of assigned accounts to assure complete customer satisfaction through all stages of the sales process, • 7+ years experience in IT role, SE role or equivalent experience combined with market knowledge and experience in the MSP space, • Excellent written and verbal communication skills, • Great listening skills are a must, • Leader in creating and implementing innovative sales technology ideas that move the needle, • Able to articulate technology and product positioning to both business and technical users at any level, • Able to establish and maintain strong relationships throughout the sales cycle, • Creativity is an asset you bring to your work proven out by your use of critical thinking to solve new problems, • Experience in Linux and/or Windows/Network administration and operations including the following technologies:, • Virtualization (VMware, Hyper-V, Xen Server, etc), • Storage (NetApp, EMC, HP LeftHand, Dell EqualLogic, etc), • Load Balancers (F5 BIG-IP, Netscaler, Barracuda, etc), • WMI, PerfMon, JDBC, SNMP, SMTP, JMX, • Web servers (IIS, Apache, Tomcat, etc), • Active Directory, • Database (SQL, MySQL, PostgreSQL, etc) Anticipated Application Close Date: 09/15/25 LogicMonitor is an Equal Opportunity Employer. At LogicMonitor, we believe that innovation thrives when every voice is heard and each individual is empowered to bring their unique perspective. We’re committed to creating a workplace where diversity is celebrated, and all employees feel inspired and supported to contribute their best. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. LogicMonitor is committed to pay transparency. The base salary range for this role is $120,000 – $172,000 USD. The range displayed reflects the minimum and maximum base salary target for new hires, and includes factors such as location, skills, experience, and education. Additionally, eligible roles include equity-based compensation, comprehensive benefits, and a learning and development stipend. For more information on our benefits, see our careers page. The Base Salary range for this role is: $120,000 USD - $172,000 USD Know your rights: workplace discrimination is illegal. Please review LogicMonitor’s U.S. Pay Transparency Nondiscrimination Provision. • Mid-Senior level, • Full-time #J-18808-Ljbffr

Join to apply for the Avionics Process Engineer, Mid-Level role at Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the Avionics Process Engineer, Mid-Level role at Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Merlin Labs is a venture-backed aerospace startup focused on developing a non-human pilot to enhance flight capabilities. The Avionics Process Engineer will design and implement scalable development processes for autonomous aerospace applications, ensuring compliance with industry standards and facilitating collaboration across teams. Responsibilities: • Design and implement scalable and compliant development processes for integrated software and hardware systems used in autonomous aerospace applications., • Standardize workflows for systems engineering, requirements management, design reviews, integration, and validation across multi-disciplinary teams., • Define interfaces between embedded software, avionics hardware, autonomy stacks, and control systems to streamline collaboration and delivery., • Drive tool selection, integration, and automation for development pipelines, including PLM, ALM, version control, simulation environments, and CI/CD., • Lead process documentation efforts to meet industry standards including DO-178C, DO-254, ARP4754A, and other applicable aerospace regulations., • Collaborate with systems, software, hardware, and flight test teams to ensure consistency, traceability, and verification from concept to deployment., • Develop and monitor engineering process metrics (quality, velocity, traceability, compliance) to identify opportunities for improvement., • Facilitate retrospectives, root cause analyses, and corrective/preventive action planning to drive continuous improvement., • Support audits, technical reviews, and certification documentation as required by regulatory and customer bodies. Qualifications: Required: • Bachelor's or Master’s degree in Aerospace Engineering, Systems Engineering, Computer Science, Electrical Engineering, or a related field., • 4+ years of experience in process engineering, systems engineering, or engineering operations within aerospace, defense, or autonomous vehicle domains., • Strong understanding of the software and hardware development lifecycle, including systems integration and verification for complex platforms., • Experience with aerospace standards such as DO-178C, DO-254, ARP4754A, or MIL-STD processes., • Familiarity with development and lifecycle tools such as Jira, Confluence, Git/GitLab, Jenkins, DOORS, Polarion, or similar., • Ability to document and optimize technical processes across systems, software, and hardware engineering domains., • Excellent analytical, communication, and facilitation skills. Preferred: • Experience supporting FAA, NASA, DoD, or other regulated aerospace programs., • Background in autonomous systems, robotics, or AI/ML integration for mission-critical applications., • Knowledge of model-based systems engineering (MBSE), digital thread, or digital twin concepts., • Certifications in Lean, Six Sigma, CMMI, or related process improvement frameworks. Company: Merlin is the aviation technology company propelling the future of fully autonomous flight. Founded in 2018, the company is headquartered in Boston, Massachusetts, USA, with a team of 51-200 employees. The company is currently Growth Stage. • Mid-Senior level, • Full-time, • Project Management Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Woburn, MA $81,226.00-$131,131.00 2 days ago Burlington, MA $80,000.00-$100,000.00 1 week ago Andover, MA $85,000.00-$110,000.00 2 weeks ago Medford, MA $170,000.00-$220,000.00 1 hour ago Boston, MA $86,500.00-$135,960.00 2 weeks ago Watertown, MA $99,500.00-$144,500.00 3 weeks ago Waltham, MA $110,000.00-$150,000.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure. As a Machine Learning Engineer at Gecko, you will be working with Gecko’s unique dataset to develop and deploy machine learning models to solve critical business problems. You will work deeply on problems such as: classifying valid vs. invalid signals; taking accurate measurements from valid signals; and identifying damage mechanisms such as cracks, corrosion, or laminations across a large collection of signals. Gecko owns a growing repository of mechanical integrity data, including large volumes of ultrasonic, imagery, and other data points concerning the integrity of critical infrastructure assets worldwide. Gecko is expanding our Machine Learning team to better leverage the vast data store we have collected over time. This is a chance to be one of the first dedicated engineers in an area we expect to grow significantly over the next few years, within a space that is ripe for innovation and solving problems in a way they haven’t been attempted before. • Develop novel (supervised and unsupervised) ML models to help solve important business problems, becoming an expert in unique domains like ultrasonic digital signal processing for non-destructive testing., • Roll out models to production by developing integrations with mission critical analytical tools and building the necessary ML Ops infrastructure to support high quality iteration., • Help Gecko identify new problems we could tackle with AI / ML (such as defect detection, automated repair planning, and more) and help cultivate necessary training sets to start solving those problems., • Python, PyTorch, Numpy, • 5+ years of engineering experience, with at least 3+ years in a dedicated machine learning role, • Practical knowledge of machine learning algorithms and frameworks suitable for time-series analysis and anomaly detection in signal data, • Ability to read and implement ML papers, • Knowledge of at least 1 machine learning framework (i.e. PyTorch) and has seen at least one ML model in production, • Familiarity with MLOps concepts, • A strong sense of intellectual curiosity, and the desire to dive deep into exploratory projects alongside production ready deployments, • Preference for projects with high ownership, and the ability to work effectively both autonomously and on teams, • Desire to have a high impact at a fast-moving startup as a key contributor on a new project and fast-growing team, • Exceptional communication skills and commitment to receiving and providing continuous feedback, • Bachelor’s degree in Computer Science or closely related field (or equivalent experience), • Experience with PyTorch, • Experience with MLOps tools such as MLFlow, • Knowledge of signal processing techniques, • Machine Learning work in ultrasonic signals, audio signals, or another unconventional domain Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we\u2019re together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact. Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you. #J-18808-Ljbffr

Join to apply for the Site Reliability / Gitops Engineer role at Canonical 1 day ago Be among the first 25 applicants Join to apply for the Site Reliability / Gitops Engineer role at Canonical Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring a Site Reliability / Gitops Engineer to our Information Systems (IS) team. This role is an opportunity for an "automation-first" technologist with a passion for Linux to build a career with Canonical and drive the success with those leveraging Ubuntu and open source products. If you have experience of IT operations automation, Infrastructure as Code and a passion for technology, then you will enjoy working with some of the best people in the industry at Canonical. Job Summary The IS team at Canonical supports and maintains all of Canonical's IT production services. The team is in charge of running services used by over 60 million Ubuntu users. As an SRE & Gitops engineer you'll be in a unique position to drive operations automation to the next level, both in our own private clouds as well as in the public clouds. We do this by utilizing the best of open source infrastructure as code software, software development practices such as CI/CD pipelines, and Canonical's leading products for software operation automation. In addition to defining the infrastructure as code, you will improve Canonical products and the open-source technologies they're based on by providing critical feedback to developers on how their products operate at scale. This is done by submitting bugs (and sometimes writing pull requests) and collaborating on design and implementations with other teams within the company. You'll be part of a global team of SREs that work together and support each other to provide the best possible services to our company, Canonical's customers and the Ubuntu Community. Location: This role is available remotely in any timezone. As a Site Reliability / Gitops Engineer engineer you will • Apply your experience of IaC to develop infrastructure as code practice within IS by constantly increasing automation and improving IaC processes, • Automate software operations for re-usability and consistency across private and public clouds, taking into consideration the complexities of distributed systems, • Develop new features and improve the resilience and scalability of the existing cloud and container portfolio at Canonical, • Maintain operational responsibility for all of Canonical's core services, networks, and infrastructure, • Develop skills in troubleshooting, capacity planning, and performance investigation, Setting up, maintaining and using observability tools such as Prometheus, Grafana, and Elasticsearch; design, implement and maintain monitoring and alerting for various systems and services, • Collaborate with development teams to design service architecture, documentation, playbooks, policies and operational procedures, • Provide assistance and work with globally distributed engineering, operations, and support peers, • Be given uninterrupted development time to focus on larger projects and automation of manual tasks, • Share your experience, know-how and best practices with other team members in design sessions, mentorship and 'doing work together', • Carry final responsibility for time-critical escalations What we are looking for in you • A deep experience of, and knowledge to define operations in code, using version control, peer review and CI/CD to roll out changes both to applications and infrastructure, • Strong modern engineering background (peer-review, unit testing, SCM, CI/CD, Agile), • Python software development experience, with large projects, • Practical knowledge of Linux networking, routing, and firewalls, • Affinity with various forms of Linux storage, from Ceph to Databases, • Hands-on experience administering enterprise Linux servers, • Extensive knowledge of cloud computing concepts and technologies, • Bachelor's degree or greater, preferably in computer science or related engineering field, • Able to communicate clearly and effectively in English over email, chat, video or voice calls and in-person, • Motivated and able to troubleshoot from kernel to web, and willing to ask others when appropriate, • A willingness to be flexible and able to learn new things quickly, • Be inspired by the needs of fast-changing environments, • Happy to work within distributed teams, • Be passionate and familiarized about open-source, especially Ubuntu or Debian About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. • Mid-Senior level, • Full-time, • Engineering and Information Technology Boston, MA $175,000.00-$250,000.00 2 weeks ago Newton, MA $119,000.00-$165,000.00 1 week ago Newton, MA $119,000.00-$165,000.00 6 days ago Bedford, MA $105,000.00-$110,000.00 1 week ago Cambridge, MA $73,000.00-$154,000.00 6 days ago Boston, MA $150,000.00-$180,000.00 1 month ago Boston, MA $180,000.00-$200,000.00 6 months ago Boston, MA $89,700.00-$112,100.00 3 weeks ago Pembroke, MA $100,000.00-$120,000.00 1 day ago Boston, MA $130,000.00-$150,000.00 3 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Centum Search is representing a well-funded, rapidly growing technology company that develops AI-powered tools for enterprise clients. They are expanding their engineering team and looking for a Machine Learning Engineer to build and productionize advanced ML systems. • Design, develop, and maintain machine learning systems, including generative AI and speech recognition models., • Collaborate with developers to integrate modeling workflows into production environments., • Build and maintain unique datasets for internal and external use., • 3+ years of experience in data science or machine learning roles., • Proficiency with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain)., • Experience taking models from research/prototype into production., • Strong understanding of relational databases (Postgres, MySQL)., • Solid collaboration and communication skills., • Competitive salary, • Comprehensive medical, dental, and vision insurance (100% company-covered premiums)., • Health Savings Account (HSA) contribution., • 401k and equity plan., • Fully remote with a flexible work environment. #J-18808-Ljbffr

We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend. Why Join QinetiQ US? If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives. QinetiQ US is looking to hire an experienced Senior Principal Motor Controls Engineer to support QinetiQ's Maritime Solutions group at our Waltham, MA facility. The Senior Principal Motor Controls Engineer will design, build, tune and troubleshoot end to end motor solutions for crewed / uncrewed, robotic platforms, and maritime systems. This includes component and system level engineering tasks, including the analysis, design, and integration of different electromagnetic systems for both defense and commercial applications. In this role, systems can span between compact underwater propulsion units for UUVs, multi-megawatt vehicle electrification efforts, large maritime platforms, and small to medium UGV robotics applications. QinetiQ's Maritime Solutions group applies decades of experience developing and delivering leading edge mission ready solutions. From front line UGVs to ship and submarine mission critical systems, the QinetiQ team prides itself on delivering high-quality products and solutions to market faster. • Work within and/or lead multidisciplinary teams of mechanical, electrical, software, and controls engineers to design and support complex automated systems, • Act as the primary contributor to new permanent magnet motor and generator designs driving execution, • Oversee the entire component lifecycle from proposal, concept design, prototype build, and production implementation, • Set technical objectives, resolve conflicts, and make decisions based on trade studies and requirements., • Design and develop new and novel features for existing products, • Troubleshoot and root cause challenging component and systems problems, • Support opportunity development providing critical SME guidance, • Master of Science degree or higher in Electrical, Mechanical, or Robotic Engineering or equivalent with 8+ years of related experience, • Experience developing ground up motor designs with Ansys and Maxwell simulation tools, • Experience implementing Space Vector Pulse Width Modulation schemes, • Familiarity with standard motor design specifications such as NEMA and IEC, • High DC Voltage application experience, • Design for MIL-STD power and EMI requirements, • Ability to see programs through from proposal to production, • Experience interfacing and collaborating with customers, • Must be able to obtain a DOD Secret Clearance, • Prior design work with small motors and/or large high-power motors, • Experience with CAD/Analysis programs such as Creo, Unigraphics, MATLAB, ANSYS, Mathcad, or similar, • Prior mentorship roles especially within an engineering setting If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information. QinetiQ US is an Equal Opportunity Employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status. #J-18808-Ljbffr

At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. Red Hat Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM and LLM-D projects, and inventors of state-of-the-art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments. As a Machine Learning Engineer focused on distributed vLLM () infrastructure in the LLM-D () project, you will collaborate with our team to tackle the most pressing challenges in scalable inference systems and Kubernetes-native deployments. Your work with distributed systems and cloud infrastructure will directly impact enterprise AI deployments. If you want to solve challenging technical problems in distributed systems and cloud-native infrastructure the open-source way, this is the role for you. Join us in shaping the future of AI! * Develop and maintain distributed inference infrastructure leveraging Kubernetes APIs, operators, and the Gateway Inference Extension API for scalable LLM deployments. * Create system components in Go and/or Rust to integrate with the vLLM project and manage distributed inference workloads. * Design and implement KV cache-aware routing and scoring algorithms to optimize memory utilization and request distribution in large-scale inference deployments. * Enhance the resource utilization, fault tolerance, and stability of the inference stack. * Contribute to the design, development, and testing of various inference optimization algorithms. * Actively participate in technical design discussions and propose innovative solutions to complex challenges. * Provide timely and constructive code reviews. * Strong proficiency in Python and at least one systems programming language (GoLang, Rust, or C++), with GoLang being highly preferred. * Experience with cloud-native Kubernetes service mesh technologies/stacks such as Istio, Cilium, Envoy (WASM filters), and CNI. * A solid understanding of Layer 7 networking, HTTP/2, gRPC, and the fundamentals of API gateways and reverse proxies. * Working knowledge of high-performance networking protocols and technologies including UCX, RoCE, InfiniBand, and RDMA is a plus. * Excellent communication skills, capable of interacting effectively with both technical and non-technical team members. * A Bachelor's or Master's degree in computer science, computer engineering, or a related field. * Experience with the Kubernetes ecosystem, including core concepts, custom APIs, operators, and the Gateway API inference extension for GenAI workloads. * Experience with GPU performance benchmarking and profiling tools like NVIDIA Nsight or distributed tracing libraries/techniques like OpenTelemetry. * Ph.D. in an ML-related domain is a significant advantage Salary range: $133,650.00 - $220,680.00. Actual offer will be based on your qualifications. Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. Were a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. ● Comprehensive medical, dental, and vision coverage ● Flexible Spending Account - healthcare and dependent care ● Health Savings Account - high deductible medical plan ● Retirement 401(k) with employer match ● Paid time off and holidays ● Paid parental leave plans for all new parents ● Leave benefits including disability, paid family medical leave, and paid military leave ● Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email . General inquiries, such as those regarding the status of a job application, will not receive a reply. #J-18808-Ljbffr

At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. Red Hat Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM and LLM-D projects, and inventors of state-of-the-art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments. As a Principal Machine Learning Engineer focused on distributed vLLM infrastructure in the LLM-D project, you will collaborate with our team to tackle the most pressing challenges in scalable inference systems and Kubernetes-native deployments. Your work with distributed systems and cloud infrastructure will directly impact enterprise AI deployments. If you want to solve challenging technical problems in distributed systems and cloud-native infrastructure the open-source way, this is the role for you. Join us in shaping the future of AI! * Develop and maintain distributed inference infrastructure leveraging Kubernetes APIs, operators, and the Gateway Inference Extension API for scalable LLM deployments. * Create system components in Go and/or Rust to integrate with the vLLM project and manage distributed inference workloads. * Design and implement KV cache-aware routing and scoring algorithms to optimize memory utilization and request distribution in large-scale inference deployments. * Enhance the resource utilization, fault tolerance, and stability of the inference stack. * Contribute to the design, development, and testing of various inference optimization algorithms. * Actively participate in technical design discussions and propose innovative solutions to complex challenges. * Provide timely and constructive code reviews. * Mentor and guide fellow engineers, fostering a culture of continuous learning and innovation. * Strong proficiency in Python and at least one systems programming language (GoLang, Rust, or C++), with GoLang being highly preferred. * Experience with cloud-native Kubernetes service mesh technologies/stacks such as Istio, Cilium, Envoy (WASM filters), and CNI. * A solid understanding of Layer 7 networking, HTTP/2, gRPC, and the fundamentals of API gateways and reverse proxies. * Working knowledge of high-performance networking protocols and technologies including UCX, RoCE, InfiniBand, and RDMA is a plus. * Excellent communication skills, capable of interacting effectively with both technical and non-technical team members. * A Bachelor's or Master's degree in computer science, computer engineering, or a related field. * Experience with the Kubernetes ecosystem, including core concepts, custom APIs, operators, and the Gateway API inference extension for GenAI workloads. * Experience with GPU performance benchmarking and profiling tools like NVIDIA Nsight or distributed tracing libraries/techniques like OpenTelemetry. * Ph.D. in an ML-related domain is a significant advantage Salary range: $189,600.00 - $312,730.00. Actual offer will be based on your qualifications. Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. * Comprehensive medical, dental, and vision coverage * Flexible Spending Account - healthcare and dependent care * Health Savings Account - high deductible medical plan * Retirement 401(k) with employer match * Paid time off and holidays * Paid parental leave plans for all new parents * Leave benefits including disability, paid family medical leave, and paid military leave * Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion. We welcome applicants from all backgrounds and experiences and strive to ensure equal opportunity and access for all. Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Accommodation - Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email . General inquiries regarding application status will not receive a reply. #J-18808-Ljbffr

About Us: Cyvl is a Boston-based tech startup revolutionizing the way civil engineering firms and governments map and manage transportation infrastructure. Our enterprise-grade hardware and software solutions leverage 3D mapping sensors to capture LiDAR, imagery, and GPS data, retrofitted to our customers' vehicles. This data is processed through our AI-powered cloud pipelines to generate actionable condition and geospatial reports, saving our customers time, money, and resources. We are in a phase of rapid growth, disrupting a massive and outdated market with our innovative solutions. About the Role: As an MLOps Engineer at Cyvl, you will lead the development of the platforms and tooling that empower our Machine Learning team to move quickly and efficiently. Your primary focus will be optimizing our data curation and annotation workflows, ensuring that all labeled datasets and metadata are centrally organized, easily discoverable, and reusable. Beyond data management, you’ll also support experimentation, model training, and deployment workflows to help us bring ML solutions to production faster and with greater reliability. This is a highly cross-functional role where you’ll collaborate with ML engineers, software engineers, and product managers to enable scalable and reproducible machine learning systems. Responsibilities: • Build and maintain scalable pipelines for data ingestion, preprocessing, labeling, and metadata management., • Centralize all ML annotations, datasets, and labels using best-in-class data management and labeling tools., • Evaluate and integrate third-party tools and frameworks to increase efficiency of the ML development process., • Contribute to infrastructure decisions and promote best practices across the MLOps lifecycle., • Design and maintain platforms that accelerate ML experimentation, hyperparameter tuning, and training workflows., • Collaborate with ML engineers to streamline and automate deployment of models to production environments.Required Skills:, • 3+ years of experience in an MLOps or related role, supporting a team of at least 3 ML engineers., • Strong hands-on experience with Kubernetes and container orchestration for ML workloads., • Experience with the AWS SageMaker suite of tools, • Familiarity with modern data labeling and management platforms (e.g., Label Studio, Kili, Scale AI, CVAT, Prodigy, Postgres, etc.)., • Experience designing, maintaining, and scaling ML pipelines and tooling., • Proficiency in Python and experience with ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)., • Experience with the Go programming language, • Experience with experiment tracking tools (e.g., MLflow, Weights & Biases)., • Strong knowledge of DevOps, CI/CD practices, and cloud infrastructure (AWS preferred)., • Excellent communication and collaboration skills, with the ability to work effectively across teams.Nice to Have:, • Experience with data versioning tools like DVC or LakeFS., • Exposure to data lake / warehouse solutions like Snowflake or BigQuery., • Knowledge of vector databases and semantic search., • Familiarity with Argo Workflows, • Previous work in startup or high-growth environments., • Background in building internal tools and dashboards for ML teams.Ideal Cyvl Candidate:, • Self-motivated, self-starter with a zeal to win, • Great communicator; strong oral and written skills, • Ability to think creatively, • Hands-on problem solver who enjoys cracking difficult nuts, • Quick study – able to pick up and apply new concepts in a hurry, • Track record of achievement, • Enjoys working on and helping to build outstanding teams, • Demonstrates an entrepreneurial spirit and gets stuff doneWhat We Offer:, • Competitive salary and equity package, • Comprehensive health, dental, and vision insurance, • Opportunities for professional growth and development If you're passionate about building powerful ML platforms, and you thrive on enabling teams to move faster and smarter with their data, we want to hear from you. At Cyvl, you’ll have the opportunity to take ownership of critical MLOps infrastructure, shape the way our ML engineers work, and have a direct impact on our product and customers. Join us in transforming the future of infrastructure with AI and world-class tooling. #J-18808-Ljbffr

At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. Red Hat Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM project, and inventors of state-of-the-art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments. As a Machine Learning Engineer focused on vLLM, you will be at the forefront of innovation, collaborating with our team to tackle the most pressing challenges in model performance and efficiency. Your work with machine learning and high performance computing will directly impact the development of our cutting-edge software platform, helping to shape the future of AI deployment and utilization. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning in the open source way, this is the role for you. Join us in shaping the future of AI! • Write robust Python and C++, working on vLLM systems, high performance machine learning primitives, performance analysis and modeling, and numerical methods, • Contribute to the design, development, and testing of various inference optimization algorithms, • Participate in technical design discussions and provide innovative solutions to complex problems, • Give thoughtful and prompt code reviews. Proactively utilizing AI-assisted development tools for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality., • Mentor and guide other engineers and foster a culture of continuous learning and innovation, • Extensive experience in writing high performance code for GPUs and deep knowledge of GPU hardware, • Strong understanding of computer architecture, parallel processing, and distributed computing concepts, • Experience with tensor math libraries such as PyTorch, • Modern C++, CUDA, Triton, and CUTLASS experience, • Mathematical software, especially linear algebra or signal processing, • Experience optimizing kernels for deep neural networks, • Experience with NVIDIA Nsight is a plus, • Strong communications skills with both technical and non-technical team members, • BS, or MS in computer science or computer engineering or a related field. A PhD in a ML related domain is considered a plus Red Hat () is the world’s leading provider of enterprise open source () software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. Were a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. • Comprehensive medical, dental, and vision coverage, • Flexible Spending Account - healthcare and dependent care, • Health Savings Account - high deductible medical plan, • Retirement 401(k) with employer match, • Paid time off and holidays, • Paid parental leave plans for all new parents, • Leave benefits including disability, paid family medical leave, and paid military leave Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email . General inquiries, such as those regarding the status of a job application, will not receive a reply. #J-18808-Ljbffr

Join to apply for the Machine Learning Engineer - Modeling role at Pryon. This range is provided by Pryon. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. $160,000.00/yr - $175,000.00/yr We’re a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we’re building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG) platform. Our proprietary, cutting-edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed. We’re looking to hire a Machine Learning Engineer in our Modeling & Large Language Models team. In this role, you'll be part of a team that is building world-class information retrieval and question answering systems over structured and unstructured data. • Help solve fundamental problems in machine learning, natural language understanding and human computer interaction with applicability to practical commercial use cases, • Help with experimentation and model development, and design new features as well as improve existing ones in our system, • Partner with the AI Engineering team to transition mature technology to our production environment, • Master’s degree or higher in Computer Science, Data Science or related technical field, and 3+ years of relevant industrial / academic work experience (or equivalent), • Demonstrated ability to drive the development side of R&D efforts, • Experience building/refining/innovating deep learning models for Natural Language Processing, Computer Vision, or Speech Recognition, • Experience with one or more of deep learning toolkits (PyTorch/HF preferred), • Strong foundation in Computer Science with high competency in data structures, algorithms, and software design (expertise in one or more of: Python, C++, or Java), • Experience building and improving LLM applications for processing semi-structured and structured data such as NL2SQL and graph-RAG, • Experience with practical applications in NLP, esp. with transformers/LLMs a plus, • Publications in top-tier conferences (NeurIPS, ICLR, ACL, EMNLP, CVPR etc.) a plus, • Experience working in cloud-based development environments such as AWS, Azure, or Google, • Experience with micro-service creation, • Strong problem solving skills, with a hands on, get-it-done attitude, • Team player with ability to work in a close-knit, fast-paced startup environment, • Remote first organization, • 100% Company paid Health/Dental/Vision benefits for you and your dependents, • Life Insurance, Short-term and Long-Term Disability, • 401k, • Unlimited PTO We are interested in every qualified candidate who is authorized to work in the United States. However, we are not able to sponsor or take over sponsorship of employment visas at this time. Pryon will not discriminate on the basis of race, religion, sex, sexual orientation, or national origin in ways that violate the Nation's civil rights laws. • Not Applicable, • Full-time, • Engineering and Information Technology, • Software Development #J-18808-Ljbffr

We're hiring our first ML Software Engineer to work alongside our cofounder, Thane Hunt, in developing our software stack to help interpret raw data s We're building the next generation of technological controllers using proprietary and patent-protected technology that translates muscle movement into data. Machine Learning Software Engineer About Us: We are a cutting-edge technology company focused on revolutionizing the way we interpret raw tendonal and muscular data into actionable technological outputs. Our goal is to empower industries and individuals with transformative software that bridges the gap between human motion and machine interaction. We’re a fast-paced, innovative team driven by curiosity, purpose, and a passion for creating real-world impact. We are looking for a super nimble, self-directed Machine Learning Software Engineer to join us in building the future of wearable tech and motion analytics. About the Role: As an ML Software Engineer, you’ll be responsible for designing and implementing advanced machine learning algorithms to process complex muscular and tendonal data and convert it into outputs. You’ll work at the cutting edge of biomechanics and wearable technology, creating software that empowers our devices to understand and interpret human motion in real time. • Design and implement machine learning models to analyze raw datasets and translate it into actionable technological outputs., • Collaborate closely with hardware and software engineers to integrate ML solutions into our software stack., • Continuously optimize and improve the performance of our models, focusing on real-time data processing and reducing latency., • Develop and test novel algorithms to ensure they meet the evolving needs of our product and industry., • Take ownership of your projects from concept to deployment, balancing speed and accuracy to ensure timely delivery of working solutions., • Engage in problem-solving and troubleshooting, keeping the team moving forward despite challenges or roadblocks., • Contribute to a fast-paced, agile development process where doing is prioritized over perfection., • Stay up to date on the latest advancements in machine learning, biomechanics, and wearable technology, and continuously innovate., • Experience in developing machine learning models, with a focus on real-time data processing., • Solid programming skills in Python, C++, or similar languages commonly used in machine learning environments., • Proficiency with ML libraries (TensorFlow, PyTorch, etc.) and data manipulation tools (Pandas, NumPy, etc.)., • Experience with sensor data and working with raw data inputs from wearables or similar devices., • Comfortable working in a self-directed environment with little supervision—your ability to prioritize and execute will set you apart., • A bias towards doing: You’re someone who gets things done, doesn’t wait for perfect conditions, and takes action to solve problems., • A growth mindset, excited to take on new challenges and innovate in a fast-moving environment., • Excellent communication skills and a collaborative attitude, even when tackling complex technical problems., • Experience with biomechanics, kinesiology, or motion analysis., • Familiarity with real-time systems and edge computing., • Knowledge of motion capture technologies, wearable sensors, or gesture recognition., • Familiarity with cloud platforms and deploying ML models at scale., • Work at the intersection of biomechanics, AI, and wearable technology—help us shape the future of human-machine interaction., • Be part of a nimble, collaborative team where every member’s voice is heard, and every contribution matters., • Opportunities for professional growth and learning in an innovative, fast-paced environment., • Competitive compensation and equity options in a company and cofounders who prioritize communication and seeing the world outside the box. #J-18808-Ljbffr

Job Title: Site Reliability Engineer (AWS) - W2 Only - we can provide sponsorship as well. Duration: Long Term Site Reliability Engineer focusing on AWS technologies and distributed systems. Responsibilities and qualifications below reflect the expectations for this role in maintaining platform reliability, stability, and performance. • Participate in projects that apply application patterns and analytics to improve service standards., • Monitor system metrics and provide input to improve scalability, dependability, and performance., • Support strategies that improve platform reliability, stability, and operational efficiency., • Contribute to data-driven models that highlight the impact of automation efforts., • Support engineering efforts across critical brokerage recordkeeping products., • Collaborate with product teams to enhance availability, resilience, and stability., • Experience with AWS EKS, lambda, DynamoDB, API gateway, SQS, ec2, ec3, CloudWatch, IAM roles/policies etc, • Experience in Rest based microservices particularly spring boot apps, • Experience in container-based development (Docker), • Experience in Hibernate ORM/JDBC/Connection Pooling etc, • Experience working with EDA solutions such as Kafka/ MQ/ AWS SNS etc, • Experience in supporting Micro services Architecture & building / deploying highly automated, scalable and maintainable infrastructure., • Knowledge on CD process and tools, testing frameworks and practices (preferably GitHub, Jenkins, Stash, Artifactory, Terraform etc.), • 1.) Tax and or Corporate Actions knowledge, • 2.) Disaster Recovery testing, • 3.) AWS (EKS, Lambda, DynamoDB, Kafka), • 4.) Java/Spring Boot Microservices, • Must be a solid communicator, • Mid-Senior level, • Full-time, • Information Technology We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Machine Learning Engineer, llama.cpp page is loaded## Machine Learning Engineer, llama.cppremote type: Hybridlocations: Bostonposted on: Posted Todayjob requisition id: R-046441Job SummaryAt Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. Red Hat Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM and llm-d project, and inventors of state-of-the-art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments.As a Machine Learning Engineer focused on llama.cpp, you will be at the forefront of innovation, collaborating with our team to tackle the most pressing challenges in model performance and efficiency. Your work with machine learning and high performance computing will directly impact the development of our cutting-edge software platform, helping to shape the future of AI deployment and utilization. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning in the open source way, this is the role for you.Join us in shaping the future of AI!What you will do* Design and implement new features and optimizations for the llama.cpp core, including model architecture support, quantization techniques, and inference algorithms.* Optimize the codebase for various hardware backends, including CPU instruction sets, Apple Silicon (Metal), and other GPU technologies (CUDA, Vulkan, SYCL).* Conduct performance analysis and benchmarking to identify bottlenecks and propose solutions for improving latency and throughput.* Contribute to the design and evolution of core project components, such as the GGUF file format and the GGML tensor library.* Collaborate with the open-source community by reviewing pull requests, participating in technical discussions on GitHub, and providing guidance on best practices.What you will bring* Extensive experience in writing high performance modern C++ code.* Strong experience with hardware acceleration libraries and backends: CUDA, Metal, Vulkan, or SYCL.* Strong fundamentals in machine learning and deep learning, with a deep understanding of transformer architectures and LLM inference.* Experience with performance profiling, benchmarking, and optimization techniques.* Proficient in Python.* Prior experience contributing to a major open-source project.#AI-HIRING#LI-MD2#LI-AJ1The salary range for this position is $133,650.00 - $281,770.00. Actual offer will be based on your qualifications.Pay TransparencyRed Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.About Red Hatis the world’s leading provider of enterprise software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.Benefits ● Comprehensive medical, dental, and vision coverage ● Flexible Spending Account - healthcare and dependent care ● Health Savings Account - high deductible medical plan ● Retirement 401(k) with employer match ● Paid time off and holidays ● Paid parental leave plans for all new parents ● Leave benefits including disability, paid family medical leave, and paid military leave ● Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.### Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.### Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email . General inquiries, such as those regarding the status of a job application, will not receive a reply.At Red Hat, our commitment to open source extends beyond technology into virtually everything we do. We collaborate and share ideas, create inclusive communities, and welcome diverse perspectives from all Red Hatters, no matter their role. It’s what makes us who we are.Some of the most knowledgeable and passionate people in the technology industry work here. Whether we’re building software, championing our products, or training new associates, we’re collaborating openly to make a difference in the world of open source and beyond. #J-18808-Ljbffr

Job Description PLEASE APPLY THROUGH THIS LINK: DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation, • Work on building the most human sounding AI speech model in the worldAn Ideal Candidate Should Have, • Experience with research and development in NLP or TTS or CV with a focus on image generation., • Experience in ML, • Preferred:, • Experience deploying NLP or TTS models to production at a large scale, • Experience managing engineers and growing a research & development team, • A fast-growing environment where you can help shape the culture, • An entrepreneurial crew that supports risk, intuition, and hustle, • A hands-off approach so you can focus and do your best work, • The opportunity to make an impact in a transformative industry Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description PLEASE APPLY THROUGH THIS LINK: DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases, • Deploy and operate the core ML inference workloads for our AI Voices serving pipeline, • Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models, • Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issuesAn Ideal Candidate Should Have, • Experience shipping Python-based services, • Experience being responsible for the successful operation of a critical production service, • Experience with public cloud environments, GCP preferred, • Experience with Infrastructure such as Code, Docker, and containerized deployments., • Preferred: Experience deploying high-availability applications on Kubernetes., • A dynamic environment where your contributions shape the company and its products, • A team that values innovation, intuition, and drive, • Autonomy, fostering focus and creativity, • The opportunity to have a significant impact in a revolutionary industry, • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture, • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job DescriptionSalary: Depending on relevant experience Come join oneZero Financial Systems! An exciting, fast-growing company with Headquarters in Somerville MA, oneZero empowers banks, brokerages and hedge funds with cutting edge trade routing and execution technology. Our platform, deployed with 200+ entities globally, features a low-latency trading environment, integrations to the worlds leading execution venues, and reliable IT infrastructure and technical supportall designed to be customized and scaled to serve any business model and any size of market participant. We take pride in our great work atmosphere and highly motivated team of engineers. We are currently looking for a motivated and talented Desktop Support Engineer to join our HQ office. oneZero is proud to have been named one of Business Intelligence Group's Best Places to Work for four consecutive years: The Boston Globe names oneZero a Top Place to Work in 2022, 2023, and 2024: oneZero earns 2024 Great Place To Work Australia Certification Please see oneZero featured in e-Forex Magazine to learn more about the company and our dynamic team (). Job Purpose: As a Desktop Support Engineer, youll be one of the faces of IT, streamlining internal processes, resolving technical issues with calm efficiency, and making sure every teammate has a smooth, productive experience from day one onward. This role is hands-on and people-focused: youll prepare new hires for success, triage and troubleshoot support requests, keep our AV and conferencing spaces running seamlessly, and manage our inventory so devices are always ready when needed. Unblocking users is a critical part of our IT operations, and were looking for someone who takes pride in delivering exceptional service to our team. Responsibilities • Provide in-person support at our Somerville HQ (Assembly Row) 5 days/week and remote support for our global team, resolving hardware, software, identity, and connectivity issues., • Own the full lifecycle of devices: prepare and configure laptops for new hires, ensure security agents and MFA are in place, keep asset records accurate, and recover/refresh machines for redeployment., • Onboard new teammates so theyre productive on Day 1, and offboard departures with same-day access revocation and secure asset handling., • Be a user advocate, triage requests quickly, communicate clearly, and unblock people so they can stay focused on their work., • Create and maintain knowledge base articles, quick-start guides, and documentation that make support easier for both IT and end users., • Partner with IT, Security, and Network teams on rollouts, upgrades, and infrastructure improvements, including AV and office networking., • Identify repetitive tasks and propose automation or workflow changes that reduce friction and improve efficiency across the team. Requirements • 2+ years of experience in Desktop or IT Support, ideally in a fast-paced or enterprise environment., • Strong hands-on knowledge of Windows 10/11 and macOS, including provisioning, profiles, and security baselines., • Familiarity with identity and access management tools such as Active Directory, Okta, or similar SSO/MFA platforms., • Experience supporting modern SaaS environments (M365, Google Workspace, Slack, Zoom, Duo/Okta)., • Working knowledge of networking fundamentals (DHCP, DNS, VPN, Wi-Fi troubleshooting)., • Hardware troubleshooting skills across laptops (Dell, Lenovo), docks, peripherals, printers, and AV/conference gear., • Clear, empathetic communication skills, written and verbal, tailored to both technical and non-technical audiences., • Strong problem-solving discipline, attention to detail, and accountability for follow-through., • Curiosity to learn, adapt, and explore new technologies (including automation and AI) that can streamline support workflows. The salary range for this position is $65,000- 85,000, depending on relevant experience.