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Job Description The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy—all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA's venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital, Carbon Robotics is driving innovation. As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it's designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers. Working here means tackling big problems with big impact. You'll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions. Join us as we innovate, execute, and build the future of farming together. YouTube | X | Instagram | LinkedIn | News As Carbon Robotics's Electrical Engineering Manager, you will provide technical and business leadership and oversight while also developing and maintaining the infrastructure (organizational structures, tools, training, etc.) the EE team needs to succeed. You will be laser focused on ensuring your team can successfully architect, design, test, and sustain the power management, communications, sensors and actuators, wiring, and compute systems that are the backbone of our robotics systems. You will also coordinate heavily with the Mechanical Engineering team as well as Software Engineering, Program Management, Manufacturing, and Field Support teams to ensure seamless integration and rapid delivery to market. This role reports to the Director of Hardware Engineering. You will collaborate with the Engineering leadership team to develop and deliver on capability and product innovation roadmaps. Above all, you'll do whatever it takes, including travel to customer farms and our manufacturing facilities, to ensure our customers have safe and reliable products that meet or exceed their expectations. Knowledge, Skills, and Abilities for Success: • At least 3 years experience managing and growing an electrical engineering team that has developed, deployed, and maintained serially produced complex integrated electrical systems (preferably robots)., • Significant experience with both PCB and power distribution system design, build, test, and production., • Experience with wire harness, external communication, internal networking, environmental sensing (GPS, camera, lidar, radar, ultrasonic, etc.) and electrical actuation systems design, build, test, and production., • Experience developing simple firmware code., • Capable of operating as a Lead Engineer in your respective expertise area as needed., • Extensive experience working with TPMs to manage resources and priorities across multiple projects while maintaining quality and on-time delivery., • Experience working with a workflow management tool such as Jira and an internal documentation tool such as Confluence., • Ability to develop and mentor (both hard and soft skills) for new grad, early career, and mid-career engineers., • Excellent verbal and written communication skills and a desire to work in multidisciplinary organizations., • Ability to travel for field visits to Farms and Richland manufacturing campus., • Work ~4 days a week out of our North Lynnwood/South Everett office and ~1 day a week out of our downtown Seattle HQ. Passion for building teams capable of solving uniquely interesting problems. Innovation while disrupting the market is what we do. Profiled in WSJ and Forbes, Carbon Robotics is poised to become the next billion dollar company in the rapidly growing worldwide Ag-Tech industry. We offer competitive compensation and benefits to our full time US based* employees, including: • Competitive salaries, • Pre-IPO Stock Options, • Generous Benefits:, • Fully-paid medical, dental, and vision insurance premiums for you and all dependents, • Choice of PPO or HDHP/HSA, • Virtual Care - Doctor on Demand, • Employee Assistance Program, • Mental Health HRA, • Restricted Healthcare Travel support, • Menopause Support, • Life Insurance, • Long Term Disability, • Flexible PTO, • 401(k) plan, • Pet Insurance, • Commuter Benefits Carbon Robotics is building a culture of diversity and inclusion for all. We welcome everyone's voice and believe in open and transparent communication. We believe the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation to which we will build a truly unique environment. We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including potential pregnancy, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability , HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law. #talentacquisition #laserweeding #laserweeder #weedcontrol #agtech #agtechnology #farmtech #robotics #lasers #lasersandrobots #missiondriven #AI #startup #wearehiring #computervision #machinelearning #carbonrobotics

Job Description Immigration / Work Authorization Notice: At this time, iSpot does not provide visa sponsorship or immigration support for this role. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship. iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle's hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great. As a Sr. Principal Software Development Engineer, you will be a hands-on leader and strategic thinker, setting the technical direction and driving the architecture and design of iSpot's data measurement platform. This role requires a deep understanding of large-scale data processing, cloud-native architecture, and real-time analytics. You will collaborate closely with engineering, data science, product, and leadership teams to tackle complex challenges, improve scalability, and create solutions that push the boundaries of ad measurement. As a technical mentor, you will inspire and guide other engineers, fostering a culture of innovation and technical rigor. Specific Responsibilities Include: 1. Technical Leadership and Architecture • Define and implement a forward-looking technical vision for iSpot's measurement and data processing platform, ensuring scalability, reliability, and high performance., • Lead the design of core architecture to support real-time data ingestion, large-scale analytics, and seamless integration with partner ecosystems., • Collaborate closely with engineering and product leaders to align technology strategy with iSpot's business goals, especially as they relate to cross-platform ad measurement and data partnerships. 2. Innovation and Problem Solving • Identify and address complex technical challenges in high-volume data processing, cloud infrastructure, and data security, bringing innovative solutions to improve the platform., • Drive experimentation and adoption of new technologies that enhance product capabilities and meet evolving market demands., • Actively participate in roadmap planning, influencing key decisions related to technology, product development, and new feature design. 3. Mentorship and Team Development • Serve as a mentor and role model, guiding engineers in best practices for coding, design, and architecture., • Provide thought leadership and technical guidance across engineering teams, fostering an environment of continuous learning and improvement., • Act as a key contributor in elevating the technical talent at iSpot, participating in hiring, onboarding, and professional development initiatives. 4. Collaboration and Cross-Functional Engagement • Work closely with data science team to enhance methodology, data accuracy, and real-time processing capabilities., • Collaborate with product management to shape user-centric solutions, ensuring the platform's architecture can adapt to customer needs and industry trends., • Engage with security and compliance teams to embed security practices into product and infrastructure design, maintaining the highest standards for data privacy and regulatory compliance. 5. Thought Leadership and Industry Engagement • Represent iSpot in industry forums, conferences, and publications, contributing to the broader technical community on topics related to data processing, ad tech, and streaming measurement., • Bachelor's or Master's degree in Computer Science, Engineering, or a related field., • Minimum of 12 years of experience in software engineering, with a strong focus on cloud infrastructure, data architecture, and large-scale data processing., • Proven experience designing and scaling complex data-driven systems, ideally in ad tech, media, or high-volume data environments., • Deep expertise in cloud platforms (AWS, GCP, or Azure) and cloud-native architectures., • Strong programming skills in languages such as Python, Java, or Scala, and a solid understanding of distributed computing frameworks (e.g., Spark, Flink, Kafka)., • Experience with modern data storage solutions (e.g., Snowflake, BigQuery) and building real-time analytics pipelines., • Track record of mentorship and ability to influence teams, with strong interpersonal and communication skills. We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. For more information on total rewards package, go HERE Hybrid & Flexible Workplace Policy iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. Those local or living in surrounding areas to one of our offices (Bellevue, WA; El Segundo, CA; New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further. #LI-Remote If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway! iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team. California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.

Job Description The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy—all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA's venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital, Carbon Robotics is driving innovation. As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it's designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers. Working here means tackling big problems with big impact. You'll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions. Join us as we innovate, execute, and build the future of farming together. YouTube | X | Instagram | LinkedIn | News As Carbon Robotics's Mechanical Engineering Manager, you will provide technical and business leadership and oversight while also developing and maintaining the infrastructure (organizational structures, tools, training, etc.) the ME team needs to succeed. You will be laser focused on ensuring your team can successfully architect, design, test, and sustain the primary structure, mounts, enclosures, powertrains, actuated mechanisms, and much more that form the backbone of our robotics systems. You will also coordinate heavily with the Electrical Engineering team as well as Software Engineering, Program Management, Manufacturing, and Field Support teams to ensure seamless integration and rapid delivery to market. This role reports to the Director of Hardware Engineering. You will collaborate with the Engineering leadership team to develop and deliver on capability and product innovation roadmaps. Above all, you'll do whatever it takes, including travel to customer farms and our manufacturing facilities, to ensure our customers have safe and reliable products that meet or exceed their expectations. Knowledge, Skills, and Abilities for Success: • At least 3 years experience managing and growing a mechanical engineering team that has developed, deployed, and maintained serially produced complex integrated mechanical systems (preferably robots), • Significant experience with both structural and powertrain system design, build, test, and production, • Experience with actuated systems, thermal management, enclosure design, and harsh environment protection, • Experience developing basic analysis scripts and automation tools, • Capable of operating as a Lead Engineer in your respective expertise area as needed, • Extensive experience working with TPMs to manage resources and priorities across multiple projects while maintaining quality and on-time delivery, • Experience working with a workflow management tool such as Jira and an internal documentation tool such as Confluence, • Ability to develop and mentor (both hard and soft skills) for new grad, early career, and mid-career engineers, • Excellent verbal and written communication skills and a desire to work in multidisciplinary organizations, • Ability to travel for field visits to farms and our Richland manufacturing campus. Expected travel around 10% of the time but able to do more travel during first article build and testing., • Work ~2 days a week out of our Lynnwood/South Everett office and ~3 day a week out of our downtown Seattle HQ Passion for building teams capable of solving uniquely interesting problems. Innovation while disrupting the market is what we do. Profiled in WSJ and Forbes, Carbon Robotics is poised to become the next billion dollar company in the rapidly growing worldwide Ag-Tech industry. We offer competitive compensation and benefits to our full time US based* employees, including: • Competitive salaries, • Pre-IPO Stock Options, • Generous Benefits:, • Fully-paid medical, dental, and vision insurance premiums for you and all dependents, • Choice of PPO or HDHP/HSA, • Virtual Care - Doctor on Demand, • Employee Assistance Program, • Mental Health HRA, • Restricted Healthcare Travel support, • Menopause Support, • Life Insurance, • Long Term Disability, • Flexible PTO, • 401(k) plan, • Pet Insurance, • Commuter Benefits Carbon Robotics is building a culture of diversity and inclusion for all. We welcome everyone's voice and believe in open and transparent communication. We believe the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation to which we will build a truly unique environment. We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including potential pregnancy, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability , HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law. #talentacquisition #laserweeding #laserweeder #weedcontrol #agtech #agtechnology #farmtech #robotics #lasers #lasersandrobots #missiondriven #AI #startup #wearehiring #computervision #machinelearning #carbonrobotics

Job Description The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy—all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA's venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital, Carbon Robotics is driving innovation. As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it's designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers. Working here means tackling big problems with big impact. You'll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions. Join us as we innovate, execute, and build the future of farming together. YouTube | X | Instagram | LinkedIn | News As a Senior Cloud Software Engineer at Carbon Robotics you will work alongside your software, mechanical and electrical peers to build AI and robotics products. In particular, you will be involved in the design and implementations of our cloud infrastructure. You'll do whatever it takes - which might include going to the farm - to ensure our customers have reliable and safe products. What you'll do: • Partner with Engineering teams to build and scale cloud and on-prem infrastructure software to support our revolutionary Laser Weeding solution and future products., • Quickly build and troubleshoot applications and tooling to support a dynamic and continuous machine learning model training pipeline with ownership and collaboration, • What you will build will support all of our cloud services, including services that provide remote monitoring and visibility to our fleet of Robots located around the globe., • Work as a Software Engineer building and implementing Cloud Infrastructure for 5+ years, • Solid Kubernetes and container orchestration experience, • Experience with Terraform, Ansible, or other provisioning tools, • AWS or similar cloud provider experience required, • Relational databases (MySQL/Postgres/Sqlite) and Non-Relational databases, • Programming experience using Go or Python, • Proficiency with web services (REST/GRPC), • Prometheus and/or Grafana or similar tools, • General knowledge to Deep Learning Pipelines a plus, • Effective verbal and written communication skills and a desire to work in multidisciplinary teams Carbon Robotics follows equitable hiring practices. Flexibility in our hiring process allows hiring of talent at levels different from what are posted. The compensation range outlined is based on a target budgeted base salary. Individual base pay depends on various factors such as relevant experience and skill, Interview assessments and responsibility of role, job duties/requirements. Offers are determined using our equitable hiring practices. Carbon Robotics offers additional compensation in the form of benefits premiums, pre-IPO stock options and On Target Earning commissions for appropriate positions. Base pay ranges are reviewed each year. We are committed to the principle of pay equity – paying employees equitably for similar work. Offers are dependent on someone experience and may be outside of the published range when appropriate. If your skills are above the posted range... Apply! We want to hear from you! Carbon Robotics' base salary pay range:$180,000—$200,000 USD Why would you join Carbon Robotics? Passion for building teams capable of solving uniquely interesting problems. Innovation while disrupting the market is what we do. Profiled in WSJ and Forbes, Carbon Robotics is poised to become the next billion dollar company in the rapidly growing worldwide Ag-Tech industry. We offer competitive compensation and benefits to our full time US based* employees, including: • Competitive salaries, • Pre-IPO Stock Options, • Generous Benefits:, • Fully-paid medical, dental, and vision insurance premiums for you and all dependents, • Choice of PPO or HDHP/HSA, • Virtual Care - Doctor on Demand, • Employee Assistance Program, • Mental Health HRA, • Restricted Healthcare Travel support, • Menopause Support, • Life Insurance, • Long Term Disability, • Flexible PTO, • 401(k) plan, • Pet Insurance, • Commuter Benefits Carbon Robotics is building a culture of diversity and inclusion for all. We welcome everyone's voice and believe in open and transparent communication. We believe the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation to which we will build a truly unique environment. We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including potential pregnancy, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability , HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law. #talentacquisition #laserweeding #laserweeder #weedcontrol #agtech #agtechnology #farmtech #robotics #lasers #lasersandrobots #missiondriven #AI #startup #wearehiring #computervision #machinelearning #carbonrobotics

Job Description The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy—all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA's venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital, Carbon Robotics is driving innovation. As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it's designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers. Working here means tackling big problems with big impact. You'll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions. Join us as we innovate, execute, and build the future of farming together. YouTube | X | Instagram | LinkedIn | News As a Wiring Harness Engineer at Carbon Robotics be a key part of the team that designs and lays out the wiring interconnect system, testing new systems and iterating on designs with your mechanical and software peers. You'll develop system layouts, block diagrams, BOMs, and schematics in CAD, and provide manufacturing support to our CM partners. You'll do whatever it takes - which might include going to the farm - to ensure our customers have reliable and safe products. What you'll do: • Work in a fast-paced, multi-disciplinary team to design revolutionary products, • Responsible for the design (including selection of harness components and hardware, connectors, backshells, cable and wire) of electrical harnesses for power distribution, grounding, RF, communication and high-speed data signal, • Quickly prototype, troubleshoot, and iterate designs for the electrical wiring systems with ownership and deep collaboration, • Design and integration of harness routing and support brackets and writing work instructions for hardware installation, • Support the assembly and testing of cables and harnesses during initial engineering development all the way through post sales support, • Deliver results through project planning, task management and delegation and problem solving efforts to iterate quicklyKnowledge, Skills, and Abilities for Success:, • 4+ years experience as Electrical Engineer designing wiring harness for large electrical systems, • Experience with Capital Harness design software is required, • Experience working with contract manufacturing for wiring harnesses, • Experience with vehicle or automotive wiring harnesses, • Experience with high voltage (40kV+) and/or 240V harnessing design highly preferred but not required, • Experience designing wiring systems for harsh outdoor environments w/ EMI, • Experience with SOLIDWORKS highly preferred but not required, • Hands on experience in hardware debug and automated verification, • Experience with PLCs and industrial sensors/controllers a plus, • Demonstrated ability to work with a team to achieve timely objectives, • Awareness of industry standards and regulations (SAE, ISO, IPC, etc.), • Effective verbal and written communication skills and a desire to work in multidisciplinary teams Passion for building teams capable of solving uniquely interesting problems. Innovation while disrupting the market is what we do. Profiled in WSJ and Forbes, Carbon Robotics is poised to become the next billion dollar company in the rapidly growing worldwide Ag-Tech industry. We offer competitive compensation and benefits to our full time US based* employees, including: • Competitive salaries, • Pre-IPO Stock Options, • Generous Benefits:, • Fully-paid medical, dental, and vision insurance premiums for you and all dependents, • Choice of PPO or HDHP/HSA, • Virtual Care - Doctor on Demand, • Employee Assistance Program, • Mental Health HRA, • Restricted Healthcare Travel support, • Menopause Support, • Life Insurance, • Long Term Disability, • Flexible PTO, • 401(k) plan, • Pet Insurance, • Commuter Benefits Carbon Robotics is building a culture of diversity and inclusion for all. We welcome everyone's voice and believe in open and transparent communication. We believe the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation to which we will build a truly unique environment. We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including potential pregnancy, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability , HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law. #talentacquisition #laserweeding #laserweeder #weedcontrol #agtech #agtechnology #farmtech #robotics #lasers #lasersandrobots #missiondriven #AI #startup #wearehiring #computervision #machinelearning #carbonrobotics

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are seeking a talented and motivated Software Engineer to join our VAS Innovation team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our Value-Added Services (VAS) platform. You will be tasked to quickly grasp and evaluate new ideas and technologies from both internal and external sources and match them appropriately with emerging technology and business opportunities, building a culture of innovation and a drive for excellence. Essential Functions: * Innovative Development: Engage in the design, development, and implementation of innovative software solutions, using generative AI and modern integration patterns. Contribute to a culture of innovation by actively exploring and applying new ideas and technologies. * Collaborative Engineering: Collaborate with cross-functional teams to develop and deliver complex projects that integrate emerging technologies with our existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and other Product Development teams to build comprehensive solutions. * Continuous Learning: Engage in continuous learning and development, actively seeking opportunities to enhance your skills and knowledge. Collaborate with peers to share insights and drive team growth. * Client-Focused Solutions: Develop solutions with a client-centric mindset, ensuring that the VAS platform delivers exceptional value and innovation. Engage with client feedback to refine and improve our offerings. * API and Integration Development: Contribute to the design and development of APIs that enhance the integration of our Value-Added Services applications, platforms, and solutions. * Technology Modernization: Participate in the advancement of our modernization roadmap by adopting best-in-class technology solutions for our core platform, expanding our market reach and client base. * Process Improvement: Continuously assess and improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time-to-market. * Engineering Excellence: Adhere to industry best practices in software development, emphasizing quality, security, performance, scalability, availability, and resilience. Contribute to the management and reduction of technical debt within projects. * Automation and Best Practices: Implement best engineering practices and automate software development, testing, and deployment processes. Ensure the timely delivery and maintenance of multiple services, focusing on continuous improvement. * Incident and Change Management: Support incident management, change, and problem management processes to ensure the high availability and reliability of our services. Participate in root-cause analysis and troubleshooting to resolve issues effectively. The Skills You Bring: * Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale * Challenge the Status Quo: Comfort in pushing the boundaries, ‘hacking’ beyond traditional solutions * Language Expertise: Expertise in one or more general development languages (e.g., Java, Python, NodeJS, C#, C++) * Builder: Experience building and deploying modern services and web applications with quality and scalability * Learner: Constant drive to learn new technologies such as GenAI, Angular, React, Kubernetes, Docker, etc. * Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams ** We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn’t work with payments technology or web applications before joining Visa This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: -2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications -3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) -Self-driven and willing to work across technologies/languages. -Expert-level skills in Java, Python and NodeJS with skills in C++ and C# is a bonus. -Experience in building Generative AI applications, conversational AI, RAG architectures, techniques and libraries -In-depth understanding of NLP including tokenization, word embeddings, and basic sequence models. -Proficiency in implementing and fine-tuning AI models using popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn) -Understanding of model compression techniques and their trade-offs -Awareness of transfer learning concepts and their applications -Ability to design and implement AI components and integrate them into larger systems. -Familiarity with common robustness issues in AI systems -Exposure to leading-edge areas such as Machine Learning, Deep Learning, Stream Computing and MLOps. -Proficiency in front-end web development technologies like ReactJS/Angular/NodeJS. -Ability to work with large datasets and perform exploratory data analysis -Experience with data preprocessing, feature engineering, and model evaluation techniques -Experience in configuring build and deployment systems Docker, Jenkins, and Kubernetes. -Expertise in handling multi-threading, concurrency, and error-handling. -Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing large components for enterprise projects. -Knowledge of version control, CI/CD pipelines, and best practices for ML model deployment -Familiarity with deep learning basics, including neural network architectures and training procedures -Working knowledge using distributed in-memory computing technologies like Redis. -Understanding enterprise security, certificate management, etc. -Hands-on experience with Jenkins and container deployment architecture. -Experience using OAuth2.0, SSO, and authentication methods/protocols. -Expertise in application security, SSDLC, and knowledge of cryptography fundamentals. -Experience in the payments tech industry is a plus. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 105,800.00 to 149,550.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job DescriptionWho we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are Metropolis is seeking a Senior Camera Systems Engineer to drive current and future camera system requirements and designs and enable scaled manufacturing and deployment. We are developing a broad suite of technologies that enable the operation of our CV/ML platform, including but not limited to camera and computer vision systems, edge and embedded computers, IoT sensors and automated access control systems. As a senior member of the Advanced Technologies (AT) organization, you will be responsible for working up and down the camera stack, providing requirements and designs at the optics and CMOS level, working with team members to implement the ISP and processing pipeline, and ensuring field applications are understood and addressed by our imaging solutions. You will collaborate cross-functionally with members of the Hardware, Embedded Software, Machine Learning and Technical Operations teams to shepherd camera systems from inception through to scaled production. The right candidate will be comfortable working at all levels of camera system development - performing detailed analysis at the optics/sensor level, tuning ISP settings, driving alignment with hardware and software integrations, engaging with manufacturing teams, and even getting ahead of application and environmental considerations that impact deployment. You must be able to thrive and succeed in an entrepreneurial environment, working collaboratively in a fast-paced environment with multiple stakeholders. You won't be afraid to break new technological ground at Metropolis and are more than willing to roll up your sleeves, dig in, and get the job done. If you have a background in cameras, sensors, computer vision or autonomous systems, and are interested in developing systems that go out into the real world, please reach out! What you'll do • Generate camera and camera system requirements that support business objectives, and develop camera system designs based on detailed systems and tradeoff analyses, • Decompose camera system requirements for dissemination to contributing teams, including metric definition and measurement approaches, • Work cross-functionally with hardware, machine learning, embedded software, technical operations and manufacturing teams to design, develop and deploy camera solutions to Metropolis facilities, • Support camera system design and validation processes, including manufacturing and test / calibration, • Perform optical and camera system simulations / tests as required to quantify and validate proposed solutions, • Work with partners to enable manufacturing of designed camera systems, including establishing test and validation processes and criteria, • Work with vendors of cameras and optical devices/components to evaluate their capabilities against our needs and specify our requirements to them, • Create, utilize, and maintain a camera lab for evaluating new vision technologies and to use as part of a larger QA process for maintaining the integrity of our camera designs, • Support troubleshooting of field-deployed systemsWhat we're looking for, • MS or PhD in Engineering, Physics, Computer Science, Imaging Science or equivalent, • 5+ years of industry experience working with imaging systems, • Deep understanding of camera technologies, optical systems, and imaging pipelines, • Practical experience with optics, image sensor and pixel fundamentals, and camera construction and assembly., • Hands on experience with imaging system test and validation systems, including measurement of traditional and product specific image quality metrics., • Production experience with end-to-end imaging processing pipeline, including HDR and image quality modules., • Proven track record of productizing 3A and ISP algorithms and settings tailored to camera use cases, • Familiarity with computer vision and machine learning fundamentals, including algorithm development, modeling and optimization., • Experience performing data analysis and automation to yield actionable insights, • Delivered at least one camera system from concept to mass production, • Experience with at least one relevant modern programming language (Python, etc.), • Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences, • Role is hybrid on-site in Seattle, WAWhile not required, these are a plus: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionWho we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are Metropolis is seeking a Senior Manager to lead software engineering for the Edge Platform: the mission critical backend platform that consumes and organizes event data from our field-deployed hardware and ML systems. We are developing and deploying a broad suite of technologies that enable "AI for the Real World" including cameras, edge compute, sensors, displays, and robotics. In this role, you will lead a team of software engineers to support existing systems and develop the next-generation of the Edge platform. The Edge team integrates real-time hardware events and machine learning outputs into a core mobility identification platform, creating a rich data stream that powers Metropolis applications. As a senior member of the Advanced Technologies organization, you will have the opportunity to shape the future of the platform that not only consumes all of the information from those edge systems, but creates the foundational structures on top of which Metropolis builds remarkable experiences for parking and new verticals. You will work closely with other engineering leaders to ensure your team is balancing a mission critical system with delivering new capabilities that power Metropolis into a future well beyond parking! What you'll do • Lead the Edge team to design and build backend software solutions that enable an expanding edge device ecosystem, • Work closely with cross-functional leaders in Hardware, Machine Learning, and other engineering teams to ensure alignment on edge initiatives, • Organize the team to support existing edge systems, develop new capabilities, and create a strategy for the future, • Guide the team technically, engaging in hands-on troubleshooting, architecture definition and implementation of best practices, • Establish robust and right sized processes and mechanisms to ensure the team is freed up to work on building, • Develop resourcing plans and coordinate across teams to ensure development schedules are aligned and communicated, and drive engineering efforts to completion, • Invest in the career development of team members, develop future leaders, and create a culture of cohesion and teamwork, • BS, MS or PhD in Computer Science or a relevant engineering discipline, • 8+ years of experience with at least 2+ years of experience leading and managing backend software engineering teams, • 2+ years of experience as a hands-on senior, staff or principal engineer before transitioning into managing teams, • Experience as a technical lead or manager designing software systems that have been deployed at scale, • Experience building distributed backend systems using a variety of service oriented and event driven architectures, • Deep understanding of modern software design processes across the entire software development lifecycle, including TDD/BDD, CI/CD and related build/test/deploy processes, • Experience working directly with or adjacent to distributed edge / IoT / hardware / ML systems, • Working knowledge of Scala, Java or other languages that run on the JVM, • Demonstrated project management skills to ensure timely delivery of features, while maintaining high quality products, • Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiencesWhile not required, these are a plus: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia and Trainium chips, deliver industry-leading ML inference and training performance at the lowest cost in the cloud. This is all enabled by edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler and runtime and natively integrates into popular ML frameworks, such as PyTorch, JAX, TensorFlow and MxNet. AWS Neuron is is widely adopted by customers and partners like such as PyTorch, Epic Games, Snap, Airbnb, Autodesk, Alexa, and Rekognition. Amazon Annapurna Labs drives innovation in silicon and software for AWS, blending cloud-scale impact with world-class engineering talent. Our multidisciplinary team spans silicon design, hardware verification, software, and operations. We operate in large, complex domains with small, agile teams, fostering continuous learning and rapid innovation. With no set blueprint, we thrive on experimentation and offer a uniquely dynamic and enriching environment across a wide range of AWS products and services. Learn more about our history: We are seeking an accomplished Software Engineering Manager with strong leadership and mentoring capabilities to join our Deep Learning Compiler team. In this Manager III role, you will lead a team of seasoned compiler and software engineers in the design and development of a machine learning compiler simulator and verifier. The simulator simulates the model execution at different stages of compilation, targeting AWS Inferentia and Trainium chips. The verifier statically checks for correctness and key conditions within the compilation process, enabling early detection and prevention of failures. Together, they play a critical role in enhancing development efficiency, streamlining debugging, and enabling rapid prototyping. You need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron Manager, innovating on behalf of our customers. You will leverage your technical skills as a hands-on partner to AWS ML services teams, involved in pre-silicon design, bringing new products/features to market. Explore the Product: , , A day in the life About this hiring group Inclusive Team Culture Here at Annapurna Labs, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. About the team Inclusive Team Culture Here at Annapurna Labs, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- B.S. or M.S. in Computer Science or related field • 5+ years of engineering team management experience, • Experience partnering with product management, • Strong knowledge of developing and/or managing simulation software, • Experience with and deep learning models and algorithms., • Experience with LLVM, LMIR, • Interactions with open-source communities Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Job Description At Skylight, we thrive on innovation and creativity, building products that bring families closer together. As a Full Stack Engineer within our new AI products team, you'll be at the forefront of developing features that enhance user experiences across our platforms. This is a unique opportunity to work on both the frontend and backend aspects of our applications, contributing to a product loved by millions of users. We're looking for a high-speed, product-minded, entrepreneurial Full Stack Software Engineer (Senior, Staff, or Principal level). In this role, you will work directly with our GM of New Businesses to build out new AI-powered features across our platform. You’ll build primarily in Ruby on Rails and occasionally in Typescript (React and React Native), integrating with LLMs from vendors like OpenAI. You should have deep expertise in both front-end and back-end technologies, with mastery of Ruby on Rails or a similar back end language and at least a working knowledge of (and willingness to learn) Typescript/React Native, and you should have at least some cursory experience building features that leverage Gen AI/LLM APIs. Responsibilities • Design, build, and launch new user-facing features powered by large language models (LLMs), • Own major product initiatives from zero-to-one, in partnership with a small but mighty team, • Collaborate with Product and Design to shape new products and features: bringing your creativity and ingenuity to our roadmap as well challenging assumptions, refining scope, and helping us ship elegant, focused, customer-centric MVPs and iterations., • Integrate with third-party APIs like OpenAI and explore new model capabilities, • Build exciting new features in Ruby on Rails, Typescript, React Native, and whatever other languages/technologies we adopt to best serve the needs of our customers, • Write code that is simple, clean, tested, and pragmatic: fast enough to validate, solid enough not to drag us down later, and scrappy enough that we’re willing to throw it away., • 6+ years experience building software products end-to-end, • Strong product intuition. You know how to dial in on what an MVP should deliver or learn, and craft the simplest path to get there., • Bias toward action and autonomy: you thrive when given trust and ownership., • Exceptional verbal and written communication. You are able to make the technical accessible and inspire confidence regardless of the audience, • Deep experience in Ruby on Rails (or similar backend frameworks) and working knowledge of Typescript/React, • Demonstrated ability to ship zero-to-one products as a solo engineer or team lead, • At least side-project experience working with LLM APIs and enthusiasm for developing Gen AI applications, • Remote startup experience strongly preferred Nice to Haves • Professional experience building features with OpenAI, Anthropic, or similar LLM APIs, • Familiarity with prompt engineering or retrieval-augmented generation (RAG) Our competitive compensation package includes: • Competitive Salary + Equity Package, • 401K matching, • Wellness, learning, and home-office budgets, • Health, Dental & Vision Medical Plans, • Tremendous autonomy to set the direction of your work, • Unlimited PTO, • Company holidays on the first Friday of every month (Except November & December) Equal opportunity employer Skylight is committed to building a diverse and inclusive team. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, protected veteran status, or any other factor protected by applicable federal, state, or local laws. If you’re the best person for the job, we want you on board! We hire across the U.S., but for legal reasons, we have to list NY and CO separately. For Colorado-based candidates, the range being offered for this role is $200-$220K based on experience and for California-based candidates, the range being offered for this role is $$200-$220K based on experience. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment for qualified applicants with criminal histories in a manner consistent with the requirements of this law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Job DescriptionSalary: $125,000 - $145,000 Manager, Solutions Engineering Location: Remote (United States) The Manager, Solutions Engineering plays an important role on the Technical Services team, reporting to the Director of Technical Solutions. In this role, you will lead and support a team of Solutions Engineers who are crafting innovative solutions that maximize the potential of a clients marketing technology. The Manager, Solutions Engineer will ensure day-to-day operational success, effective resourcing, and high-quality technical delivery. This role requires strong people management skills, the ability to balance workload across the team, and a commitment to mentoring and developing technical talent. The Manager will also partner with internal teams and clients to ensure solutions are aligned with business needs and delivered to the highest standard. This is a hands-on role with a 60% utilization requirement, meaning the Manager will contribute as a Solutions Engineer while also managing the team. Responsibilities • Manage and support a team of Solutions Engineers, including scheduling, resourcing, workload balancing, and 1:1 meetings., • Provide coaching, mentoring, and professional development to build technical and consultancy skills., • Contribute directly to solution design, architecture, and delivery (60% utilization)., • Oversee day-to-day operations to ensure projects are staffed, executed on time, and aligned to scope and budget., • Technical Partnership Liaison:, • Cultivate and manage technical partnerships to drive business growth through the development and enhancement of our service offerings., • Collaborate with partner organizations to explore joint business opportunities and develop mutually beneficial relationships., • Business Development and Account Growth:, • Act as a trusted advisor, helping clients understand the strategic and technical implications of different solutions., • Play a key role in expanding client relationships by identifying new business opportunities and collaborating with cross-functional teams to deliver client value., • Partner with internal teams (Strategy, Creative, Customer Success, and Account Management) to align technical delivery with client goals., • Maintain expertise in marketing technology platforms to guide the team and support client needs., • Promote continuous learning, certification, and awareness of industry trends and partner technologies. Requirements • 35 years of experience as a manager of technical teams, or equivalent experience through mentorship or technical leadership., • 7+ years of hands-on experience in a solution-based role, delivering professional services, including implementing and optimizing technical solutions, • Experience with multiple enterprise-level Marketing Automation Platforms, including working knowledge of one of the leaders in this space (Oracle Responsys, Salesforce Marketing Cloud, Iterable, Braze, Cordial, Klaviyo, Bloomreach, etc.), • Demonstrated expertise in designing, optimizing and integrating complex business processes across systems to enhance operational efficiencies and drive innovation, • Proficient in one or more related practices, including Rest APIs, HTML/CSS, JavaScript, SQL, and experience with at least one personalization language (RPL, AMPscript, Handlebars, Liquid, Django, Smarty, etc.), • Certification(s) in two or more areas of marketing technology and/or email marketing or related platform, • Excellent written and verbal communication skills with both internal and client contacts; ability to communicate effectively with both technical and non-technical individuals, • Deep knowledge of email marketing best practices and changes within the MarTech space, lifecycle marketing, and loyalty and retention, • Strong problem-solving skills with a creative approach to challenges, • Ability to adjust to new challenges in technology or project requirements quickly Work Environment / Travel We are a 100% remote company where you will work from your home with company-provided equipment to set you up for success. This role requires semi-frequent travel to professional office settings and other events locally and nationally. Compensation In the spirit of pay transparency, we are excited to share the base salary range for this position is $125,000-$145,000, exclusive of fringe benefits or potential bonuses. If you are hired at Shaw/Scott, your final base salary compensation will be determined based on factors such as geographic location, skills, education, and/or experience. In addition to those factors, we believe in the importance of pay equity and consider internal equity of our current team members as a part of any final offer. Please keep in mind that hiring at the maximum of the range would not be typical in order to allow for future and continued salary growth. We also offer a generous benefits package, including company-paid health insurance, 401K with employer match, 4 weeks PTO per year, parental leave, communication allowance, and more.

Job Description About Us Chips are at the center of today's tech-driven world. But how we design them has not changed in decades, while their complexity and specialization have skyrocketed due to increasing performance demands from applications like AI. We want to change that. Our team is small, technical, and fast-moving. We’ve built and shipped at the intersection of AI, EDA, and systems software, with deep roots at companies like Qualcomm, Nvidia, Google, Meta, and the Allen Institute for AI. We’re backed by top investors including Khosla Ventures, Cerberus, and Clear Ventures, and already deployed with 10+ innovative customers—from Fortune 100s to cutting-edge AI silicon startups. About This Role This role offers a unique opportunity to be part of the founding team at ChipStack, where we are reinventing how modern silicon chips are designed. You will work alongside highly experienced chip designers who have built complex chips, ML scientists who have trained LLMs at scale, and top-notch infrastructure and software engineers. You will get to leverage your experience building ML and data infrastructure and apply it to some of the hardest problems in chip design. About You You want to be at a startup because you love to be at the center of all the dynamism that a startup offers. You are willing to put in the hours and go the extra mile to ensure every customer has an exceptional experience. You are self-motivated with a sense of urgency and can operate independently without much guidance. You are not afraid of difficult problems and enjoy venturing into areas you have not explored before. This Role We’re looking for a strong, experienced ML Infrastructure Engineer to join our founding team. We are seeking someone with experience designing and scaling ML infrastructure and training pipelines. You’ll be responsible for building the core infrastructure that enables training, fine-tuning, evaluation, and deployment of LLMs across cloud and on-premise environments. Your work will directly impact product capabilities and speed of iteration. What's needed * 5+ years of experience in ML infrastructure or adjacent roles * Deep expertise in Python and experience with training frameworks like PyTorch or TensorFlow * Strong systems engineering skills and experience with distributed training, data pipelines, and performance optimization * Experience deploying ML models to production (REST APIs, batch jobs, streaming pipelines) * Proficiency with cloud platforms (e.g., GCP, AWS) and containerized systems (Docker, Kubernetes) * Experience managing GPU/TPU workloads efficiently * Good communication skills and the ability to work directly with engineers and customers * Prior experience training or fine-tuning LLMs * Experience setting up observability, monitoring, and evaluation pipelines for ML models What's good to have * Exposure to chip design fundamentals (via coursework or elsewhere) * Experience at an early-stage startup Our Culture Challenge status quo: We are innovators who can challenge the status quo and push forward our vision of the world. Strong opinions, loosely held: We are low on ego, but high on collaboration. We are okay to be wrong and are always open to learning. Ship fast, ship quality: We ruthlessly prioritize what matters. We build a few things, but at lightning speed with high quality. Proud of our craft: Attention to detail is in our DNA. We take pride in what we build and ensure they exceed the high standards of the semiconductor industry.

Job Description At Puzzle, we’re not just building accounting software- we’re reimagining it. Our modern platform integrates seamlessly with today’s fintech stack, giving founders and finance teams real-time visibility into their financials with clarity and ease. We are ingesting massive amounts of financial data, transforming it into accurate company insights, and delivering those insights through intuitive, elegant user experiences. What We’re Looking For As a Senior Fullstack Software Engineer, you’ll spend most of your time building complex, user-facing systems and crafting delightful product experiences, while also rolling up your sleeves on backend APIs and services when needed. You’ll work closely with product and design, proactively shaping features that solve real customer problems with both technical rigor and usability in mind. This is your opportunity to join a well-funded startup led by accomplished founders. Join us remotely from anywhere in the US or Canada as we embark on this exciting journey. What You’ll Do * Partner with product and design to deliver intuitive, high-impact features that help users understand and act on their financial data * Architect, build, and maintain complex UI components using React, TypeScript, and Next.js * Contribute to shared frontend libraries, design systems, and performance optimization across the app * Build end-to-end features, including backend integration with REST and GraphQL APIs * Collaborate with backend engineers to design scalable data flows and APIs that power the frontend experience * Own features from concept to production, ensuring reliability, usability, and performance * Provide technical mentorship and peer reviews, raising the bar for code quality and product thinking Who You Are * 5+ years as a software engineer, with experience working across the stack (frontend leaning) * Deep expertise in React, TypeScript, and modern frontend tooling (Next.js experience a plus) * Strong UI/UX sensibilities — you care about creating intuitive, performant, and pixel-perfect experiences * Experience building and integrating with RESTful APIs; GraphQL familiarity a plus * Comfortable writing backend code when needed, particularly for API endpoints or light data transformations * Solid understanding of databases (SQL, NoSQL) and how frontend and backend systems connect * Proactive and self-driven: you take high ownership over projects, from shaping technical direction to delivering a polished user experience * Product-minded: you thrive in cross-functional collaboration and balance user needs with technical trade-offs * Bonus: background in fintech, finance, or accounting systems — or a passion to modernize them What’s in it for you? Join Puzzle Financial at a pivotal growth stage where you'll help redefine and reimagine how companies handle their financials while building your career in a flexible, remote-first environment. You'll have the opportunity to make a significant impact, work with innovative founders, and develop valuable expertise at the intersection of modern accounting and fintech. Here is a preview of some of the amazing benefits here at Puzzle: * Competitive base pay and meaningful equity * 100% paid employee health, dental, and vision plans (U.S. & Canada vary) * 10 observed holidays and a flexible PTO policy so you can recharge * $1000 home office budget to get you set up for success * $2400 co-working budget for face time with your colleagues * $600 learning and development budget * 401K so you can save for your future * And much more Puzzle is an equal opportunity and affirmative action employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristics protected by law. Candidates should be currently residing in the U.S. or Canada to be eligible for this position. If hired, you will be required to present proof of work authorization. This employer is a participant of the E-Verify program. Compensation Range: $173K - $183K

Job Description About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We're looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere. About the roleWe are seeking a highly motivated Data Engineer to join our Data Platform team for our Edge Computing AI Platform. As a Data Engineer in our Data Platform team, you will be responsible for helping us shape the future of data ingestion, processing, and analysis, while maintaining and improving existing data systems. If you are a highly motivated individual with a passion for cutting-edge AI, cloud, edge, and infrastructure technology and are ready to take on the challenge of defining and delivering a new computing and AI platform, we would love to hear from you. Location. This role is office-based at our Bellevue, Washington office. What You'll Do (Key Responsibilities) • Build new tools and services that support other teams' data workflows, ingestion, processing, and distribution., • Design, discuss, propose, and implement to our existing data tooling and services., • Collaborate with a diverse group of people, giving and receiving feedback for growth., • 6+ years of experience in software development., • Experience with data modeling, ETL/ELT processes, streaming data pipelines., • Familiarity with data warehousing technologies like Databricks/Snowflake/BigQuery/Redshift and data processing platforms like Spark; working with data warehousing file formats like Avro and Parquet., • Strong understanding of Storage (Object Stores, Data Virtualization) and Compute (Spark on K8S, Databricks, AWS EMR and the like) architectures used by data stack solutions and platforms., • Experience with scheduler tooling like Airflow., • Experience with version control systems like Git and working using a standardized git flow., • Strong analytical and problem-solving skills, with the ability to work independently and collaboratively in a team environment., • Professional experience developing data-heavy platforms and/or APIs., • A strong understanding of distributed systems and how architectural decisions affect performance and maintainability., • Experience analyzing ML algorithms that could be used to solve a given problem and ranking them by their success probability., • Proficiency with a deep learning framework such as TensorFlow or Keras. For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request). Benefits • Competitive base salary and equity, • Medical, dental, and vision (subsidized cost), • Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA), • Retirement plan options, including 401(k) and Roth 401(k), • Unlimited paid time off (PTO), • 15 paid company holidays per year #LI-AB1 #LI-Onsite Compensation$144,000—$180,000 USD You're a Great Fit if You're • A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge, • A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude, • Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company, • A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time. Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.

Job Description Job Title: Principal/ Senior Machine Learning Engineer Position Type: FTE Location: San Francisco/ Portland, ME / Boston/ Chicago/ Seattle Salary Range: $200,000 - $270, 000 (USD) Job ID#: 155325 Contact: Job Description: These are high-impact leadership roles focused on designing, deploying, and optimizing fraud detection models for large-scale payment systems. You'll work at the intersection of machine learning, cloud infrastructure, and risk engineering. 1. Serves as the official payment partner of the U.S. federal fleet, 2. Powers 98% of gas station payment transactions nationwide Responsibilities: • Design, implement, train and maintain machine learning algorithms and ML system pipelines., • Work closely with our AI platform team and line of business engineering teams to integrate AI components and models into our systems., • Collaborate with the team to manage version control using GitHub and implement robust CI/CD pipelines for continuous integration and delivery., • Design and implement RESTful APIs to facilitate communication between various components and ensure smooth operation of our applications., • Collaborate effectively with cross-functional teams, participate in code reviews, and communicate solutions to both technical and non-technical stakeholders. Requirements: • 10-20 years working experience, • Minimum 5 years of application development experience using Python., • Minimum 3 years of experience building, training and deploying machine learning models., • Strong ability to use key Python libraries such as Pandas, Numpy and deep learning libraries like PyTorch or Tensorflow., • Bachelor's Degree in Computer Science, Engineering, or related field., • Familiarity with cloud technologies, such as AWS, Azure, or GCP and how to provision those services through IAC frameworks such as Terraform., • Experience applying DevOps principles to software development processes., • Proficiency in version control systems, particularly GitHub., • Excellent problem-solving skills and a proactive approach to addressing challenges., • Experience in the financial industry is a plus. About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at . Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility. Powered by JazzHR QQ7Gf1zTzm

Job DescriptionSenior Software Engineer, Backend Read AI is seeking a Senior Software Engineer to join our Backend team. As a senior contributor, you will play a key role in designing, building, and scaling backend systems that power our AI-driven productivity platform. You'll work in a fast-paced, collaborative environment, shipping code weekly and directly impacting millions of users. Responsibilities • Architect, develop, and maintain scalable backend services and APIs, primarily using Python (FastAPI), SQLAlchemy, and AWS infrastructure., • Design and implement features for data ingestion, third-party integrations (e.g., Slack, HubSpot, Notion), authentication/authorization, and enterprise-grade security and compliance., • Own the full software development lifecycle: requirements gathering, design, implementation, testing, deployment, and monitoring., • Collaborate closely with product managers, frontend engineers, and data scientists to deliver innovative solutions., • Drive technical excellence through code reviews, mentorship, and best practices in software engineering., • Participate in on-call rotations and contribute to operational excellence, reliability, and observability of backend systems., • Continuously improve system performance, scalability, and reliability to support rapid user and data growth., • Contribute to a culture of innovation, ownership, and customer-centricity.Requirements, • 10+ years of professional experience in backend software engineering, with a strong track record of shipping production systems., • Proficiency in Python (or similar languages such as Java, C++, or Node.js); Experience designing and building distributed, cloud-native systems (preferably on AWS)., • Deep understanding of API design, authentication/authorization protocols (OAuth2, JWT), and security best practices., • Familiarity with CI/CD, infrastructure-as-code (Terraform), and modern DevOps practices., • Excellent communication skills; ability to explain complex technical concepts to both technical and non-technical audiences., • Strong sense of ownership, curiosity, and a passion for innovation and continuous learning., • Experience working in a startup or fast-paced environment is highly valued.Nice To Have:, • Innovative: We're set to bring AI to the masses by introducing technology designed to improve every interaction., • Massive Impact: AI's greatest impact will be on the ability to allow people to do more, taking away mundane tasks and allowing them to focus on what matters the most., • Growth Opportunities: Read AI is the fastest growing AI-copilot and meeting notetaker in history, and is on pace to be one of the fastest growing consumer AI companies in the world, adding more than 1MM new customers every month. The company raised Series A and B in 2024, and was noted as a Top Company To Watch in 2025 by Inc Magazine., • Leadership: Learn more about CEO and Co-Founder David Shim in this Fortune Good Life profile from July 2025; CTO and Co-Founder Rob Williams was recently anointed as one of the most disruptive leaders in AI; and Co-Founder and VP Data Science Elliott Waldron goes behind-the-scenes on our patents and models in this tech brief.., • Collaborative Culture: Work in a supportive and collaborative environment with a diverse and talented team.

The Company We are a small, well-funded, and deeply passionate team of builders at the very beginning of our journey. We have a bold vision, a solid foundation, and a massive market opportunity. The one thing we're missing is you. We aren't looking for an employee. We're looking for a partner—a true builder who wants to get in on the ground floor and leave their mark on an entire industry. The Role: More Than an Engineer, a Co-Builder This isn't just another senior engineering role. This is a rare opportunity to join as a foundational member of our technical team, with an impact equivalent to that of a technical co-founder. You will be the gravitational center for our technology, shaping our product, our culture, and our future from day one. You'll be our hands-on expert, writing the critical code that brings our vision to life. You'll be our architect, making the foundational decisions about our multi-cloud infrastructure and AI strategy. And you'll be our leader, helping to build our engineering culture from the ground up and mentoring the first generation of engineers who join our mission. What You'll Build (Your Impact) • Architect Our Foundation from Scratch: You will design and implement our core infrastructure across a multi-cloud environment (AWS, Azure, and GCP). These are not legacy systems; you are setting the cornerstone for everything that follows., • Build the Core Product: You will spend the majority of your time hands-on, writing clean, scalable, and beautiful code that forms the heart of our platform. Your code will be the product., • Weave Intelligence into Our DNA: You will be instrumental in integrating AI and machine learning into our product from the very beginning. You’ll work to build the data pipelines, deploy the models, and create the intelligent features that will set us apart., • Define Our Technical Culture: You won’t just join a culture; you’ll help create it. You will establish the engineering best practices, the standards for quality, and the collaborative, innovative spirit that will define us., • Help Build Your Team: You will be a key voice in recruiting, interviewing, and mentoring the next brilliant engineers who join us on this journey. Who You Are (The Ideal Founder-in-Spirit) You are a builder at heart, driven by a relentless desire to create something new, meaningful, and from the ground up. • An Owner's Mindset: You think like an owner. The success of the product is your success. You feel a deep sense of responsibility and pride in what you build., • Thrives in Ambiguity: You aren't just comfortable with uncertainty; you're energized by it. You see a blank whiteboard as an opportunity, not a problem., • Pragmatic Visionary: You can dream big about what's possible in two years while making ruthlessly pragmatic decisions about what we need to build and ship next week., • Product-Obsessed: You care deeply about the 'why' behind the code. You're passionate about the user and obsessed with creating an experience that solves their problems., • Technical Arsenal:, • 5+ years of experience, but your impact and mindset matter more than your years., • Demonstrated mastery of building and scaling systems on at least one major cloud platform (AWS, Azure, or GCP), with hands-on experience across all three., • Proven experience building systems that support or integrate with AI/ML workloads., • A history of leading complex technical projects and a passion for mentoring others., • You are a master of your chosen tools (e.g., Java, Python, Go, C#) but are always excited to pick up new ones. Why Join Us on This Journey? • Foundational Equity: This is more than a salary. It's a significant and meaningful stake in the company you are helping to build from the ground floor. Your success is our success., • Total Autonomy & Trust: We are hiring you to be the expert. You will define the 'how.' We will give you the freedom and trust to make the right technical decisions, period., • Unmatched Impact: Your fingerprints will be on everything—the product, the technology, the team, the culture. The work you do here will be the most impactful of your career., • The Thrill of the Build: Experience the unparalleled excitement of building something from zero to one with a small, dedicated team chasing a massive vision. If you're tired of maintaining legacy systems and navigating bureaucracy, and you're ready to build something that truly matters, we need to talk. Let's build this together.

AI engineer, machine learning engineer, deep learning, deep reinforcement learning, computer vision, natural language processing, generative AI, large language models, agentic systems, ML infrastructure, ML pipelines, Python, PyTorch, TensorFlow, AWS, GCP, cloud deployment, scalable systems, distrib