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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril's Electronic Warfare (EW) team is seeking an experienced embedded software engineer to support next-generation electronic warfare platforms in production. As a Production Embedded software engineer, you'll develop and maintain EW product software specific to a production environment, collaborate with manufacturing and test automation engineers to improve testability, and collaborate with the wider embedded software organization to ensure a seamless new product introduction. WHAT YOU'LL DO Contribute to design reviews acting as an expert in Built In Test, design for test, and fault isolation and detection. Define Built In Test strategy and requirements for automated testing, supporting fault detection, isolation, and reporting. Develop and maintain production SW builds that enable testing and troubleshooting at board-level and unit-level RF test stations. Develop and regression test high-reliability software for controlling our electronic warfare assets, seamlessly integrated with production test automation. Utilize infrastructure providing deterministic builds and configuration management for production deployment, guaranteeing software traceability and minimizing the maintenance burden of manufacturing. REQUIRED QUALIFICATIONS 7+ years professional experience in software engineering Experience (professional or in the setting of an open source community) working with typed functional programming languages (Haskell or Rust) Experience with Built In Test development Eligible to obtain and maintain an active U.S. Secret security clearance PREFERRED QUALIFICATIONS Experience with software-defined digital radio systems Experience with MATLAB, especially C code generation. Experience with FPGA development (Verilog, VHDL, etc.), especially Xilinx devices and tools. Experience with graphics programming (OpenGL, DirectX, Vulkan, etc.) Experience with Nix/NixOS Experience with Linux boot stages Basic understanding of RF test equipment, such as signal generators, spectrum analyzers US Salary Range $191,000-$253,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to . Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

CSQ427R106 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability for our most complex customers who need guidance to accelerate usage of Databricks workloads they have already selected, helping them maximize the value they get from our platform and their return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with the expectation that you will become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate effectively with an organization at all levels. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritized customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise Create, own, and execute a point of view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams: Main use cases moving from 'win' to production Enablement/user growth plan Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers Programming experience in Python, SQL, or Scala Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related to distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management, including account, stakeholder, and resource management accountability Experience in resolving complex and important escalations with senior customer executives Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing the delivery of complex programs/projects Track record of overachievement against quota, goals, or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Ability to travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $180,000-$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

CSQ427R106 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability for our most complex customers who need guidance to accelerate usage of Databricks workloads they have already selected, helping them maximize the value they get from our platform and their return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with the expectation that you will become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate effectively with an organization at all levels. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritized customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise Create, own, and execute a point of view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams: Main use cases moving from 'win' to production Enablement/user growth plan Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers Programming experience in Python, SQL, or Scala Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related to distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management, including account, stakeholder, and resource management accountability Experience in resolving complex and important escalations with senior customer executives Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing the delivery of complex programs/projects Track record of overachievement against quota, goals, or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Ability to travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $180,000-$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We're changing that. Atoms builds Physical AI- real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don't just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life. If you want to work on hard problems with real-world impact, join us. What you'll do Work on a data intelligence infrastructure team, which is focused on gaining intelligence from the mass amount of data that has been collected over the years serving restaurants across the world. Build and maintain software and tools that enable data scientists, ML engineers, analysts and engineers to extract insights, sell market intelligence to merchants and make data driven decisions for the company Help product teams to build real-time and batch processing pipelines to achieve business requirements Research latest technologies in the open source communities and bring back insights to apply within the team What we're looking for 3+ years of experience as a software engineer, and the ability to work independently in a fast-paced, dynamic environment, taking initiative to drive results. Background in infrastructure or platform development is preferred. Enthusiastic about learning new codebases, and making changes in large complex systems safely and efficiently. Proficiency in Java or GoLang programming languages. We're looking for engineers who are comfortable with either language and have experience building high-performance systems. Familiarity with Azure and GCP cloud environments, and deployment tools such as Docker and Kubernetes Experience in real estate, food technology, or related industries is a bonus, though not required. A passion for solving complex problems in these sectors is key. Why join us At Atoms, you'll work on one of the defining challenges of our time-bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what's known and building what doesn't yet exist. The work is ambitious and often challenging, but it's grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team-so we invest in both, creating an environment where you can do your best work and grow. What else you need to know This role is based in our Austin office. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That's why all of our office-based teams work onsite, five days a week. The base salary range for this role is $158,000 - $210,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others?

Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We're changing that. Atoms builds Physical AI- real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don't just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life. If you want to work on hard problems with real-world impact, join us. What you'll do Work on the Machine Learning and AI Infrastructure team, which is focused on providing infrastructure for data scientists and other engineers to use ML and AI technologies effectively. Build and maintain software and tools for classical ML stack which helps data scientists manage full training lifecycle from data collection, data preparation, training, deployment and model serving. Build and maintain software and tools which enable efficient and effective use of GenAI (LLM) technologies. Do background research on latest innovations in the Machine Learning space and bring back insights to apply within the team. What we're looking for 3+ years of experience as a software engineer, and the ability to work independently in a fast-paced, dynamic environment, taking initiative to drive results. Background in data infrastructure, platform infrastructure or ML infrastructure is preferred. Enthusiastic about learning new codebases, and making changes in large complex systems safely and efficiently. Proficiency in Python and Java programming languages. We're looking for engineers who are comfortable with multiple languages and have experience building scalable high-performance systems Familiarity with Azure and GCP cloud environments, and deployment tools such as Docker and Kubernetes Experience in real estate, food technology, or related industries is a bonus, though not required. A passion for solving complex problems in these sectors is key. Why join us At Atoms, you'll work on one of the defining challenges of our time-bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what's known and building what doesn't yet exist. The work is ambitious and often challenging, but it's grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team-so we invest in both, creating an environment where you can do your best work and grow. What else you need to know This role is based in our San Francisco office location. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week. The base salary range for this role is $176,000 - $230,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others?

This position will join the Advizex team, a Myriad360 company. About Advizex Advizex, a Myriad360 company, brings together over 50 years of innovation and client commitment. As part of Myriad360's growing portfolio, Advizex continues to operate with the same trusted expertise and customer-first philosophy-now strengthened by broader resources and reach. For over 50 years, Advizex has done more than simply keep pace with technology-it has helped organizations stay ahead of it. With deep, real-world experience across healthcare, education, government, manufacturing, and retail, Advizex delivers IT solutions that solve meaningful business challenges across infrastructure, cloud, cybersecurity, automation, and AI. This role will join the Advizex team and play a key part in continuing that legacy. Learn more about Advizex here! ROLE OVERVIEW This is an opportunity to join a fast-growing Managed Services Provider. We are seeking a highly skilled and experienced Level 5 Storage & Backup Enterprise Services Architect to join our dynamic IT team. The ideal candidate will possess in-depth knowledge of storage and backup systems and demonstrate strong leadership and problem-solving skills. This is a senior-level position that requires extensive experience in designing, implementing, and maintaining complex storage and backup environments. This position is supported by a 24x7x365 team, but occasional evening and weekend work may be required to handle emergencies or perform system maintenance. Candidates must be based in the United States. KEY RESPONSIBILITIES Architecture & Managed Services Leadership Define and own customer-facing hybrid cloud architectures for Azure-based managed services. Design, standardize, and evolve multi-tenant managed service platforms supporting multiple enterprise customers. Ensure architectures align with contractual SLAs, SLOs, and support models. Establish and enforce architecture, security, and operational standards across customer environments. Hands-On Technical Leadership Maintain hands-on involvement with storage and backup systems in production. Lead troubleshooting and serve as the highest-level escalation point for complex customer issues. Architect resilient platforms with strong monitoring, alerting, backup, and disaster recovery. Customer Engagement & Advisory Act as a technical lead and trusted advisor for enterprise customers. Participate in customer architecture reviews, technical workshops, and QBRs (Quarterly Business Reviews). Translate customer business requirements into secure, supportable cloud architectures. Support presales and solution design, including architecture validation, scoping, and risk assessment. Guide customers through cloud adoption, modernization, and hybrid integration strategies. Operations & Reliability Provide architectural leadership for 24 7 managed service operations, including on-call participation. Lead major incident response efforts, including customer communication and post-incident reviews. Drive reliability, performance, and cost optimization improvements across customer platforms. Ensure operational readiness for new customers and onboardings. Mentorship & Influence Mentor senior engineers and architects within the MSP organization. Influence technical strategy, tooling, and service offerings across the managed services portfolio. Evaluate Azure services and technologies to improve customer outcomes. REQUIRED QUALIFICATIONS Required: Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree preferred. Experience: 15+ years of experience in storage and backup system administration and engineering in enterprise environments. 5+ years designing and operating Microsoft Azure for enterprise or MSP customers. Deep, hands-on storage and backup system administration experience in enterprise production environments. Proven experience managing Dell storage and backup solutions. Deep expertise in the administration of storage and backup systems. Experience with backup and recovery processes. Certifications: Required: One Dell backup/data-protection certification, such as Dell Avamar, Data Domain, or PowerProtect ; and One specialized Dell enterprise storage certification in either: Dell PowerScale (formerly Isilon) ; or Dell PowerMax (formerly VMAX) . Azure Architect Certification (nice to have). Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues. Leadership: Demonstrated leadership abilities, including project management and team mentoring. Communication: Excellent communication skills, both written and verbal, with the ability to convey technical information to non-technical stakeholders. Adaptability: Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and technologies. Preferred: 15+ years of prior Storage and Backup administration experience in complex corporate or enterprise environments. Extensive experience delivering customer-facing managed services in SLA-driven environments. Strong expertise in hybrid cloud architecture, enterprise networking, identity, and security. Strong expertise in Cisco products. Extensive background in 24 7 cloud and infrastructure operations, including incident response. Experience with containers and orchestration at scale (Docker, Kubernetes / AKS). Additional Azure certifications (Azure Security Engineer Associate, Azure DevOps Engineer Expert). Experience working in MSPs or consulting organizations supporting multiple enterprise customers. Familiarity with ITIL, SRE, or service management frameworks. Experience supporting regulated, high-availability, or compliance-driven environments. Exposure to cloud migration and modernization engagements. As an Advizex employee, you will be eligible for the following benefits and perks: Company-subsidized medical benefits Dental and vision coverage offered 17 PTO days Flexible Work Arrangements Retirement Savings Plans Paid Long Term Disability Basic Life Insurance offered Pursuant to the NYC Pay Transparency Law, the base salary range in New York City for this position is $145,000-170,000 base salary, plus opportunities for bonus and/or commission. Compensation in other geographies may vary. Myriad360 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

THE COMPANY Saildrone is a maritime defense company and the global leader in autonomous unmanned surface vehicles (USVs). With more ocean miles and real-world operational experience than any USV manufacturer or operator, Saildrone maintains active, combat-deployed systems supporting national security and force projection around the world, 24/7/365. Saildrone's manufacturing and R&D headquarters are located in Alameda, CA, with business development and sales operations in Washington, DC, and deployment hubs in Europe and the Middle East. By combining proven autonomous operations, edge computing, advanced sensing, renewable power, and the most advanced and robust unmanned surface technology on the planet, Saildrone is shaping how the Navy of the future operates. Join a fast-moving, mission-driven team at the forefront of maritime security and autonomous innovation. THE POSITION Saildrone is seeking a Staff Machine Learning Engineer to join our team. Reporting directly to a Senior Member of the Machine Learning team, you will play a critical role in designing, deploying, and scaling machine learning systems that enable autonomy and real-time intelligence across Saildrone's global fleet. You will expand Saildrone's model portfolio and ensure reliable, high-performance inference on edge hardware in complex maritime environments. We are looking for a technical leader who creates clarity from ambiguity, drives end-to-end execution, and takes ownership of production ML systems in mission-critical environments. This role is required to be onsite in Alameda, CA in the Bay Area 3 days per week - this is our hybrid model. This is not a remote position. THE TEAM The Machine Learning team is responsible for developing and deploying models that power perception, autonomy, and intelligence across Saildrone's autonomous surface vehicles. We focus on building scalable, high-performance ML systems that transform multimodal sensor data into actionable insights, enabling persistent maritime awareness in national security and defense environments. THE RESPONSIBILITIES Production & Mission Impact: Design and deploy production-grade ML models for real-time perception to detect, classify, and track high-value targets. Your work directly enables USVs to operate 24/7/365 in harsh, remote, and hostile maritime environments. Edge Architecture & Autonomy: Own the full ML lifecycle architecture, ensuring models run reliably on NVIDIA Jetson/AGX platforms. Drive the intelligence that advances autonomous decision-making and behavior for a growing fleet of robotic systems. Multi-Modal Sensor Fusion: Lead the integration of Saildrone's unique sensor suite-including cameras, radar, lidar, hydrophones, and bathymetric sensors-to maintain situational awareness in complex, resource-constrained environments. Dataset & Robustness Engineering: Drive the rapid expansion of proprietary maritime datasets and develop rigorous evaluation frameworks to ensure model performance remains stable across variable sea states and extreme weather. Strategic ML Ops: Architect and scale cloud-based training pipelines and CI/CD workflows. You will resolve technical ambiguity to ensure the "full stack" from data ingestion to edge deployment is performant and maintainable. System-Wide Optimization: Lead technical decisions for onboard compute efficiency using runtime libraries like TensorRT, ensuring that rapid model iterations enhance rather than disrupt the overall software stack stability. Technical Leadership & Vision: Direct large-scale ML projects from concept to completion. Mentor junior and senior engineers while shaping the technical roadmap for the global ML organization. Set engineering standards and influence architectural direction across multiple ML and autonomy teams Cross-Functional Integration: Serve as a technical leader across multiple engineering organizations -from Perception to Frontend-to ensure ML-driven insights are actionable for mission pilots and critical to disrupting illegal maritime activity. THE QUALIFICATIONS BS or MS in Computer Science, Electrical Engineering, or a related technical field, as required for the design of complex autonomous systems. 10+ years of experience in Machine Learning or Software Engineering, performing work related to the full ML lifecycle, from cloud-based training to edge deployment. Serve as a technical authority for edge AI systems operating in mission-critical environments. Track record of leading cross-functional technical initiatives in autonomy, robotics, defense, or large-scale distributed systems Demonstrated proficiency in Python, ML frameworks (PyTorch/TensorFlow), and runtime libraries (TensorRT) required to deploy performant computer vision and sensor fusion models. Experience making system-level architecture and modeling decisions under high ambiguity, balancing performance, reliability, and compute constraints in real-world deployed ML systems Track record of communicating technical vision, project roadmaps, and model performance metrics to peers, senior leadership, and cross-functional partners. Ability to work effectively in remote or hybrid environments, including supporting a fleet that operates 24/7/365 in harsh and hostile maritime conditions. Working knowledge of CI/CD best practices, Linux/Unix environments, and MLOps pipelines relevant to maintaining production-grade software at scale. Demonstrated experience mentoring senior and junior engineers and leading end-to-end technical projects from initial concept to mission-ready fielding. The base salary range for this position is shown below. Actual compensation may vary based on skills, experience, and qualifications. This range reflects the base salary for candidates in states requiring pay transparency disclosure. Salary Range $215,000-$270,000 USD To view Saildrone's candidate privacy policy, please visit: BENEFITS At Saildrone, we're building operational capability that matters-and that requires people who can do their best work over the long term. We invest in our team's well-being, financial security, and professional growth so you can focus on delivering real-world impact with confidence and stability. Our comprehensive benefits package is designed to support you and your family while you contribute to a mission with lasting significance. Generous Time Off: Competitive Paid Time Off (PTO) accrual plus a robust annual holiday schedule and paid sick leave ensure you can rest, reset, and sustain performance over time. Comprehensive Health Coverage: Premium, multi-tier Medical, Dental, and Vision plans with significant company contributions for employees and dependents-providing security and peace of mind. Shared Ownership in the Mission: Equity grants are a core part of our compensation, allowing you to participate in the long-term value you help create through meaningful, operational work. Retirement Savings: Access to a 401(k) retirement plan with flexible pre-tax and Roth payroll contribution options supports long-term financial planning. Investment in Your Growth: We support your continuous learning through an annual professional development reimbursement program, empowering you to sharpen your skills and stay ahead of the curve in a rapidly evolving field. Relocation Support: For eligible roles, we offer relocation assistance to help bring the world's best talent to our mission-critical locations. Saildrone is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

THE COMPANY Saildrone is a maritime defense company and the global leader in autonomous unmanned surface vehicles (USVs). With more ocean miles and real-world operational experience than any USV manufacturer or operator, Saildrone maintains active, combat-deployed systems supporting national security and force projection around the world, 24/7/365. Saildrone's manufacturing and R&D headquarters are located in Alameda, CA, with business development and sales operations in Washington, DC, and deployment hubs in Europe and the Middle East. By combining proven autonomous operations, edge computing, advanced sensing, renewable power, and the most advanced and robust unmanned surface technology on the planet, Saildrone is shaping how the Navy of the future operates. Join a fast-moving, mission-driven team at the forefront of maritime security and autonomous innovation. THE POSITION This engineer is the primary technical owner for internal endpoint and identity systems across device management, identity lifecycle, and workflow automation. You will manage the tools and policies that provision users, secure access, enroll devices, standardize configurations, reduce manual work, and improve reliability across the employee technology environment. THE TEAM The IT team is responsible for supporting all workplace technologies in use to enable and empower the success and productivity of all Saildrone employees. THE RESPONSIBILITIES Design, administer, and continuously improve identity lifecycle services in Okta, including application integrations, MFA, group strategy, SCIM provisioning, and role-based access controls. Leverage Okta Identity Governance to automate approval requests and compliance documentation. Engineer and operate endpoint-management workflows for Windows, macOS, and Linux, including enrollment, provisioning, imaging, patching, software deployment, policy compliance, and device refresh. Own and administer device management platforms (currently JumpCloud). Monitor and remediate endpoint policy adherence (configuration, patch management). Build and maintain automation using scripting, APIs, workflow tools, and infrastructure-as-code where appropriate to reduce repetitive operational work. Evaluate and implement new tools and systems to drive operational automation. Serve as a technical escalation point for endpoint, identity, and SaaS-platform incidents beyond the helpdesk level. Develop and maintain documentation, diagrams, runbooks, operating procedures, and change-management artifacts. Identify opportunities to convert manual processes to automated, policy-driven, scalable solutions. Support adjacent SaaS administration as needed across platforms such as Google Workspace, Microsoft 365, Zoom, Slack, Jira, and Confluence. THE QUALIFICATIONS 4+ years of progressive experience in IT Operations support and automation In-depth experience with Okta administration in a production environment. Strong hands-on experience with at least one major endpoint platform: Jamf Pro, Microsoft Intune, JumpCloud, Kandji, or equivalent. Hands-on experience deploying, automating and managing Windows, MacOS, and Linux (Ubuntu) endpoints. Robust knowledge of scripting and automation in PowerShell, Bash, Python, or similar. Working knowledge of SAML, OIDC, OAuth, SCIM, RBAC, device compliance, and endpoint security controls. Dedication and commitment to documentation PREFERRED EXPERIENCE Okta Workflows or equivalent low-code automation experience. Terraform, Ansible, or other IaC and Git-based configuration practices for internal tooling. Apple Business Manager, Windows Autopilot, Azure Virtual Desktop, or other modern deployment components. Experience in a regulated environment requiring audit evidence, access review discipline, or compliance controls. Relevant certifications such as Okta Certified Professional/Administrator, Microsoft 365 Certified: Endpoint Administrator Associate, JAMF certification, Terraform Associate, ITIL 4 Foundation. The base salary range for this position is shown below. Actual compensation may vary based on skills, experience, and qualifications. This range reflects the base salary for candidates in states requiring pay transparency disclosure. Salary Range $140,000-$165,000 USD To view Saildrone's candidate privacy policy, please visit: BENEFITS At Saildrone, we're building operational capability that matters-and that requires people who can do their best work over the long term. We invest in our team's well-being, financial security, and professional growth so you can focus on delivering real-world impact with confidence and stability. Our comprehensive benefits package is designed to support you and your family while you contribute to a mission with lasting significance. Generous Time Off: Competitive Paid Time Off (PTO) accrual plus a robust annual holiday schedule and paid sick leave ensure you can rest, reset, and sustain performance over time. Comprehensive Health Coverage: Premium, multi-tier Medical, Dental, and Vision plans with significant company contributions for employees and dependents-providing security and peace of mind. Shared Ownership in the Mission: Equity grants are a core part of our compensation, allowing you to participate in the long-term value you help create through meaningful, operational work. Retirement Savings: Access to a 401(k) retirement plan with flexible pre-tax and Roth payroll contribution options supports long-term financial planning. Investment in Your Growth: We support your continuous learning through an annual professional development reimbursement program, empowering you to sharpen your skills and stay ahead of the curve in a rapidly evolving field. Relocation Support: For eligible roles, we offer relocation assistance to help bring the world's best talent to our mission-critical locations. Saildrone is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

Date Posted: 2026-09-21 Country: United States of America Location: US-IA-CEDAR RAPIDS- C Ave NE BLDG 131 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The company will offer immigration sponsorship for this position, if needed. The company will not seek an export authorization for this role. Security Clearance Type: None/Not Required Security Clearance Status: Not Required At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense. Collins Aerospace is looking for a Senior Systems Engineer to support the development and sustainment of communication products. The engineer who fills this position must demonstrate a high level of professional competence and knowledge of the principles and techniques commonly used in systems development, integration, verification, and qualification related to avionics. The selected candidate will perform assignments requiring the use and application of systems engineering principles and techniques for the integration of hardware and software. This role will require hands-on software integration testing on target hardware, troubleshooting across hardware/software interfaces, and supporting both development and fielded product sustainment. The engineer who fills this position must also have strong design, analytical, and problem-solving skills for both hardware and software. This is an onsite position based in Cedar Rapids, Iowa. What you will do: Develop product-level requirements from customer and industry specifications. Further decompose requirements to support both software and hardware development. Perform trade studies to support and optimize the technical solution and requirements. Define integration and verification strategies for avionic functions and products, create test plans, test cases and procedures, execute system verification, and create test reports. Perform hands-on integration of software applications, embedded software, system software, and hardware in a laboratory environment. Execute software integration testing on engineering development units, flight-like hardware, production hardware, and/or hardware-in-the-loop test benches. Troubleshoot and debug integration issues across hardware, software, firmware, operating systems, drivers, and external interfaces. Use lab equipment and engineering tools to support integration, verification, failure investigation, and root-cause analysis. Analyze data gathered and develop solutions or alternative methods of proceeding to optimize performance and increase efficiencies in development activities. Communicate effectively to a host of stakeholders across the technical spectrum, including customers, program management, senior leadership, and functional teams. Provide technical support for fielded avionics systems through troubleshooting, root-cause analysis, engineering changes, and lifecycle sustainment activities. Qualifications you must have: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience Experience with system-level requirements decomposition and analysis, system design and allocation to subsystems/products, system integration planning and execution, and system-level verification and validation. Experience integrating software applications, embedded software, or system software onto target hardware platforms. Experience developing, executing, and troubleshooting system integration test procedures in a lab or hardware-in-the-loop environment. Experience debugging integration issues across hardware, software, firmware, operating systems, drivers, and external interfaces. Experience supporting root-cause analysis, failure investigation, defect resolution, and verification closure for complex electronic systems. Ability to read and interpret system architecture diagrams, electrical schematics, interface control documents, software requirements, and test documentation. Experience documenting technical findings, test results, problem reports, and engineering recommendations in a clear and concise manner. Strong analytical and problem-solving skills with the ability to isolate issues in complex hardware/software systems. Qualifications we prefer: Working knowledge of common communication interfaces and protocols for avionics/data interfaces. Experience with avionics communication systems, aircraft data networks, airborne routers, data loaders, wireless systems, or connected aircraft products. Working knowledge of avionics regulations and certification standards including TSO, PMA, STC, DO-160, DO-254, DO-356 and DO-178B/C. Experience with hardware/software integration on embedded Linux, Windows, real-time operating systems, or other embedded computing platforms. Experience with scripting or automation tools to support test execution, data collection, and analysis such as Python, Robot Framework, etc. Experience with networking concepts including TCP/IP, UDP, VLANs, routing, switching, packet capture, Wi-Fi, cellular, or SATCOM-related interfaces. Experience using tools such as Wireshark, Jira, DOORS, Jama, Cameo, Git, Bitbucket, Jenkins, or similar engineering development tools. Experience using test equipment and lab tools such as oscilloscopes, logic analyzers, protocol analyzers, power supplies, network analyzers, or similar equipment to support hardware/software troubleshooting. Experience supporting formal qualification, certification, or production transition activities for aerospace or other regulated products. Experience performing integration testing using engineering development units, flight-like hardware, production hardware, or hardware-in-the-loop test benches. Experience troubleshooting board-level or system-level issues involving power, boot-up, interfaces, timing, thermal behavior, signal integrity, or environmental performance. Experience coordinating with software, hardware, systems, test, manufacturing, quality, suppliers, and program teams to resolve technical issues. Experience supporting fielded product investigations, customer-reported issues, engineering change proposals, and sustainment of released products. Experience working with multidisciplinary teams using both Agile and waterfall development methods. Exhibiting strong team skills working with both domestic and international team members. Effective time management and ability to work independently with minimal direct supervision. Familiarity with model-based systems engineering, MBSE, tools. Familiarity with cybersecurity, secure boot, software loading, configuration management, or data integrity considerations for connected avionics products. Familiarity with aircraft installation, aircraft interfaces, airline operations, or avionics maintenance concepts. What we offer: Medical, dental, and vision insurance Three weeks of vacation for newly hired employees Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option Tuition reimbursement program Student Loan Repayment Program Life insurance and disability coverage Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection Birth, adoption, parental leave benefits Ovia Health, fertility, and family planning Adoption Assistance Autism Benefit Employee Assistance Plan, including up to 10 free counseling sessions Healthy You Incentives, wellness rewards program Doctor on Demand, virtual doctor visits Bright Horizons, child and elder care services Teladoc Medical Experts, second opinion program And more! Learn More & Apply Now! Avionics delivers advanced cockpit displays, vision systems, and comprehensive digital solutions for global government, commercial and business aviation customers. We provide connectivity and managed data services to ensure safety and seamless communication for passengers, crews, and militaries, from aircraft and airports to air traffic management. Join us in creating solutions that connect the world, one flight at a time. Start your application today. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Regardless of your role type . click apply for full job details

What you will do We are seeking a Manufacturing IT Platform Engineer with 8-10 years of traditional software development hands-on experience using AI-assisted development tools (e.g., Claude.ai, ChatGPT, GitHub Copilot). The role focuses on building productized, reusable capabilities for MoM/MES integration, manufacturing data platforms, and edge deployments, using containers and Kubernetes to deploy and support solutions in manufacturing plants. This role is ideal for an engineer who wants to build real systems used on the shop floor, leverage AI tools to accelerate development, and grow into a strong manufacturing platform contributor. How you will do it Design and develop services supporting MoM/MES use cases such as production events, quality data, and traceability. Build manufacturing data pipelines and APIs for real-time and near real time shop-floor data. Develop and maintain edge-deployed applications that interface with plant systems (MES, SCADA, historians, equipment data). Use AI development tools (Claude.ai, Copilot studio) for: Code generation and refactoring Test creation and debugging Documentation and design acceleration Configuration of the MOM/MES Containerize applications using Docker and deploy using Kubernetes (on prem or edge environments). Support plant deployments, validation, and basic production support. Collaborate with senior engineers and architects to improve reliability, scalability, and usability of the platform. What we look for Required 8-10 years of traditional software development experience in Manufacturing. 2-3 years of active experience using AI tools for software development. Strong coding skills in Python, Java, Node.js, or .NET. Experience building and consuming REST APIs and data services. Hands-on experience with Docker containers. Working knowledge of Kubernetes concepts (pods, deployments, services). Basic understanding of manufacturing or industrial systems (MES, shop-floor data, production systems). Preferred Exposure to MoM/MES, SCADA, Historian, or IoT systems. Experience with event-driven or streaming architectures (e.g., MQTT, pub/sub concepts). Any experience deploying applications to edge or on-prem environments. Familiarity with CI/CD pipelines and DevOps practices. Experience with manufacturing and shop-floor systems. Comfortable combining traditional engineering skills with AI-assisted development. Product-oriented mindset-focused on reusable, scalable solutions. Willingness to support plant users and learn from operational feedback. Curious, hands-on, and ownership driven. Meadowbrook - Lithium Ion Our Meadowbrook, Michigan plant produces lithium-ion batteries and runs a research lab. We began operations in 2010 and now employ more than 110 people and operate six days per week. We're mindful of the profound impact we have on our planet and are proud to operate in a LEED Gold Certified facility. Our employees are actively involved in the community and volunteer for a variety of local organizations. What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.

Job Description Job Description The Hardware Technical Lead is the senior portfolio-level technical authority for hardware architecture, common interfaces and standards, lifecycle, and manufacturability across 3dB Labs products. The role establishes a coherent hardware foundation while allowing product-specific approaches when mission or technical requirements justify them. Product Managers own what and why; Product Technical Leads own the integrated solution for assigned products. This role owns portfolio hardware coherence and decisions affecting shared platforms, components, interfaces, or production baselines. It partners with the Software Technical Lead, Engineering, Production, and QA; Engineering leadership retains staffing and personnel management. Key Responsibilities Portfolio Hardware Architecture & Standards Establish common hardware architecture principles and standards for compute, electrical and mechanical design, power, thermal, RF, networking, connectors, and other shared interfaces as applicable. Identify opportunities to standardize components, platforms, and interfaces where reuse improves reliability, cost, supply resilience, production efficiency, or sustainment. Review major hardware and platform decisions that could affect multiple products or baselines and ensure portfolio-level standards and decisions are documented. Product Integration & Design Governance Partner with Product Technical Leads early in requirements and design to ensure hardware approaches and interfaces are technically sound and portfolio-aware. Lead or participate in design reviews and trade studies for significant new hardware, redesigns, and technology refreshes, balancing performance, SWaP, reliability, cost, lead time, manufacturability, and integration risk. Serve as the technical escalation point for cross-product hardware issues and coordinate with the Software Technical Lead on drivers, compute constraints, interfaces, and hardware/software integration. Lifecycle, Obsolescence & Supply Risk Maintain visibility into shared component and platform lifecycle risks, vendor end-of-life events, lead times, and supply constraints across the portfolio. Partner with Product Managers, Product Technical Leads, and Production to plan technology refreshes and transitions before lifecycle risks become delivery or customer disruptions. Support platform and component selection, make/buy and vendor evaluations, backward-compatibility decisions, and transitions between hardware baselines. Manufacturability, Quality & Production Transition Partner with Production and Quality to ensure hardware can be built, tested, inspected, serviced, and sustained repeatably, with appropriate design-for-manufacture and design-for-test practices. Ensure hardware transitions to Production with stable designs and the required build, assembly, test, configuration, and technical data. Use production and field failures, root-cause analysis, and lessons learned to improve common hardware standards and prevent recurring issues across products. Desired Qualifications Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Systems Engineering, or a related technical field; advanced degree is a plus. Significant hardware or systems engineering experience with architecture or technical leadership responsibility for complex, integrated products. Demonstrated experience across electrical, mechanical, compute, RF, power, thermal, networking, or other relevant hardware domains, including design-for-manufacture and design-for-test considerations. Proven ability to lead trade studies and design reviews, assess technical estimates and risks, guide component/platform/vendor decisions, and mentor senior engineers and technical leads. Experience with ruggedized systems, RF/electronics, defense or mission systems, and low-volume/high-complexity manufacturing is highly desirable. Current or past US security clearance is a major plus, ability to obtain a Top Secret clearance required. US citizenship is required for all of our positions. Powered by JazzHR NuS0EufPMf

Job Description Job Description FlowX.AI is an agentic AI platform for large-scale, mission-critical applications. We started in regulated industries - banking and insurance - and have successfully landed major deals in government and defense. We're now expanding into new verticals including logistics, manufacturing, healthcare, and construction. Our platform enables large organizations to deploy, run, and monitor mission-critical AI agents at scale. We provide the governance layers and robustness that AI agents need to operate reliably across the most important business processes. Mission As a Presales Engineer, your role is to contribute to creating and tailoring end-to-end solutions for our customers, using the FlowX product, making sure we are efficient and deliver in the right quality. What you will do on a daily basis Collaborate with the team to understand business requirements and configure solutions accordingly. Test and validate configurations to ensure they meet the business and functional expectations. Design and develop Proof of Concepts (POCs), working closely with senior engineers to validate feasibility and effectiveness. Maintain comprehensive and up-to-date configuration documentation. Stay updated with the latest trends, tools, and technologies. Recommend enhancements or optimizations based on feedback. You're very likely to succeed if you have 3+ year of experience as a Configuration Engineer, QA Engineer, Software Engineer, or in a similar technical role. Bachelor degree in Computer Science, Business Information or a related field. Familiarity with Python. Basic knowledge of HTML, CSS and Angular concepts. Knowledge in any BPMN platforms (e.g. Appian, Camunda, IBM, Pega) is a plus. You believe there is always room for improvement and you want to constantly keep learning. You consider that good cooperation with colleagues is very important. What's in it for you Direct impact on how the company scales and delivers multi-million-dollar enterprise transformation deals. Competitive compensation with an early-stage equity package. Work alongside an ambitious leadership team driving category creation in enterprise AI. Collaborative, fast-paced culture with room to grow and make an impact. Location: New York City Benefits Private Health Insurance Paid Time Off Training & Development

Job Description Job Description About Burro Burro is the leading robotics company in the world by number of robots working outdoors in the field with real customers. Our mission is to free people from tedious work and solve the critical labor shortages faced by farmers and others that work outdoors. To accomplish our mission, we need a world-class, diverse team where everyone feels comfortable sharing their ideas. With this in mind, we strive to create a work environment where every employee can be themselves and express their perspective - this enables us to deliver the most creative and innovative solutions to problems our customers face. Headquartered in Philadelphia with an office in central California, and backed by top Agtech and autonomy investors, including S2G, Catalyst, Translink, Cibus, FPrime, Toyota Ventures, FFVC, Xplorer, and Radicle, Burro was created to solve the labor shortages facing farmers using robotics. Burros can be described as Disney's Wall-E for agriculture and work outdoors, in a 1.0 format. They function, today, as computer vision based autonomous ground vehicles for carrying, towing, and scouting, and are designed to lay the base for the fully autonomous future of work outdoors. We have a growing triple digit fleet deployed in paid commercial use within vineyards, nurseries, berries, and beyond, and demand for our product is accelerating, so we are growing our team. About The Role We are looking for a Senior Robotics Platform Engineer to own the full lifecycle of how our robots are built, provisioned, tested, and updated in the field. This is not a cloud DevOps role; this is a systems infrastructure role rooted in scaling bare-metal Linux environments, and the operational complexity of deploying software to a fleet of autonomous machines in demanding conditions. You will take us from a largely manual, labor-intensive provisioning process to a reliable, scalable, automated, and instrumented pipeline. You will own end-of-line testing, system imaging, hardware bring-up, and the tooling that makes our engineering and support teams faster and more confident. The ideal candidate has built and scaled provisioning systems before, whether for robots, medical devices, automotive systems, industrial IoT, or large-scale enterprise hardware deployments. You understand what it means to image thousands of devices reliably, catch failures before they reach the field, and build infrastructure that manufacturing and support teams can actually use. You will design solutions for the correct scale: avoiding the complexity of a solution that scales to millions, opting for the development speed of a solution that scales to thousands. You are comfortable operating in a system that is actively bootstrapping itself; building or avoiding the infrastructure that would already exist at a larger company. Responsibilities: Design and own the end-to-end provisioning pipeline: from bare-metal OS imaging through hardware configuration, software installation, calibration, and pre-shipment validation. Own provisioning for all robot hardware peripherals: depth cameras, LiDAR and GPS sensors, motor drivers, networking, and other embedded subsystems. Develop end-of-line (EOL) test frameworks and reporting infrastructure, including pass/fail logging, failure diagnostics, and traceability per unit. Collaborate with manufacturing to ensure provisioning tooling is robust, repeatable, and operator-friendly. Support our growing fleet of robots working in real-world environments by developing tooling and runbooks to diagnose, repair, and re-provision units in the field with minimal downtime. Work with R&D to commercialize and deploy new hardware and features reliability in production Build monitoring and logging infrastructure for the provisioning pipeline and runtime environments, to be integrated with dashboards and alerting for fleet-level health. Document all systems, processes, and runbooks Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related field required. We strongly weigh practical, demonstrable experience over academic credentials; candidates with equivalent industry experience building and shipping hardware systems at scale are encouraged to apply. 5+ years of hands-on experience designing and operating infrastructure for hardware at scale: robotics, autonomous vehicles, medical devices, industrial IoT, or equivalent. Demonstrated experience building provisioning or imaging pipelines for large numbers of physical devices (hundreds to thousands of units). Strong Linux systems administration: kernel configuration, systemd, networking, storage, package management, hardware interfaces. Proficiency with containerization: Docker and/or Podman, container runtime configuration, and image management at the OS level. Scripting and automation fluency in Bash and Python. Experience building or operating end-of-line or hardware acceptance test systems. Ability to work effectively across engineering, manufacturing, and support, and communicate clearly in each context. Nice-To-Haves: Experience with A/B or partition-based update systems and rollback strategies on embedded or edge Linux devices. Experience with configuration management tools such as Ansible for device fleet configuration and runbook automation in an embedded/edge context. Experience with Balena or similar container-based embedded fleet management and delta update systems. Familiarity with ROS, CAN bus, motor controllers, or other robotics-adjacent hardware and software interfaces. Familiarity with custom Linux images, RT kernel configuration, latency tuning, or other hardened/minimal Linux distributions for embedded deployment and understanding of the tradeoffs involved. Perks Competitive salary and benefits package (medical/dental/vision/life insurance) Equity 401K Plan Unlimited PTO Paid parental leave RECRUITERS : We are not accepting agency resumes for this position. Please do not forward or submit resumes through our website or to any of our employees directly. Burro is not responsible for any fees related to unsolicited resumes from recruitment agencies. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Energy is the binding constraint on human progress. Solar and storage are the lowest cost sources of new generation, but the conventional project delivery model has not changed in 30 years and deployment cannot keep pace with demand. Planted is turning power plants from projects into products. Our software turns raw land into a build-ready power plant in minutes instead of months. Our hardware delivers twice the energy on every acre. Our robots put steel in the ground so output scales with production lines instead of headcount. We're looking for a technical leader to build and scale the software organization at the center of that transition - from the autonomy stack running on our robots to the AI systems that will make deployment even faster. You will own the architecture, roadmap, and team driving Planted's next phase of growth. We don't wait for abundance. We build it. About The Role Software is both the brains of our machines and the connective tissue of Planted operations. You will lead and grow a software organization spanning three domains: autonomous robotic vehicle software, our suite of web-based power plant design, build, and operate tools, and an emerging portfolio of AI agents that automate engineering, estimation, and operations workflows. We are looking for a pragmatic technical leader with a track record of building high-performing, multi-disciplinary software teams. You must be deep enough technically to drive key architectural decisions across the vertically integrated platform, and strategic enough to drive and execute on the product roadmap. You have systems literacy (e.g., how data moves from a robot's camera into an ML pipeline) and prioritize delivery mechanics over heavy-handed project management. Our robots are building projects in the field today and our design software is in front of customers. Your mandate is to scale the product and the team to support our current 10x year over year growth in megawatts deployed. The Team: You will join a group at the intersection of deep tech and massive physical infrastructure. Our engineering core brings robotics and automation DNA from SpaceX and Tesla, working directly alongside veteran energy developers. We are led by repeat founders with a successful prior exit (Cogenra to SunPower). Planted is backed by leading investors in energy and Physical AI, including Breakthrough Energy Ventures, Khosla Ventures, and Piva Capital. The annual salary range for this full-time position is $275,000-$325,000 plus a meaningful equity stake and benefits. Pay within the range is based on candidate experience, job-specific skills, and education. The target experience for the position is 10-15+ years. We work together in person 5 days/week at our HQ in Oakland, CA. KEY RESPONSIBILITIES Organizational Leadership & Talent Development: Build, scale, and mentor a high-performing, multi-level software organization, including direct management of engineering managers, principal engineers, and system architects. Foster a culture of technical excellence, accountability, and continuous growth. Recruit and retain top-tier software talent across cloud, spatial/CAD, embedded, and robotics domains while allowing technical experts to own the architecture. Strategic Execution & Stakeholder Management : Own the software roadmap and drive the predictable, on-time delivery of complex, multi-system software projects across multiple products. Set clear expectations, communicate progress, and align software deliverables. Collaborate seamlessly with the Commercial team, Hardware Engineering, and Project Operations. Make the build-vs-buy, stack, and platform decisions that will hold up at 100x scale. Software Product Suite Ownership: Lead development across our core platforms: Power Planter (automated layout, engineering, and costing), Build View (autonomous fleet management, field deployment, and QA/QC), and Operate View (inspection, operations, and maintenance tools for large-scale solar plants). Autonomous Robotic Vehicle Platforms: Lead the engineering teams deploying the full software stack across our autonomous field machine fleet (fleet logic, behavior trees, and path planning, modern and classical controls, ROS2, etc.). Data Flywheel: We operate our field machines like modern manufacturing lines. You will own the telemetry and data infrastructure that monitors production with statistical process control and turns every installation into training data for better models and improved machine productivity. AI Systems: Build the team and roadmap for AI agents that automate design, estimation, project delivery, and operations workflows, grounded in the data our robots and projects generate. QUALIFICATIONS 10 to 15+ years of software engineering experience, including 5+ years leading engineering teams (senior ICs and managers) shipping production systems. Deep expertise in full stack software development involving hardware and software integration like robotics, IoT, or industrial automation. Track record shipping robotics, autonomous vehicles, or hardtech software into the field at scale-with a strong focus on fleet reliability, continuous testing, and real-time observability. Broad leadership capability across platform/full-stack teams, cloud infrastructure, data systems, or applied AI/ML groups outside your core specialty. Systems architecture judgment with strong understanding of how technologies work together (e.g., middleware, pub/sub architectures, web services, and ML pipelines). You do not need to write the C++ on the robot, but you must understand edge compute, latency, and hardware-in-the-loop testing. PREFERRED QUALIFICATIONS Field robotics : Experience in construction, agriculture, mining, defense, logistics, or autonomous vehicles operating off-pavement (e.g., Waymo, Cruise, Bedrock Automation). DevOps & Delivery: Strong understanding of modern software deployment and containerization (Docker). Experience with CI/CD, release pipelines, and edge deployment strategies, focusing on how code reliably gets to the machine. Agentic and AI-Augmented Software Engineering: Experience building, rebuilding, and managing AI-integrated software development platforms and teams. Robotics & Controls: Familiarity with the complexities of deploying field-robotics software (e.g., ROS2, vehicle navigation, and autonomy stacks). You understand the unique delivery challenges of robotics compared to traditional software. Perception & Sensing: Experience with LiDAR, stereoscopic/IR cameras, object detection, spatial mapping, and SLAM in dynamic outdoor environments. Strong understanding of middleware, pub/sub architectures alongside web services, backend technologies, and ML pipelines. Spatial / CAD Expertise: Deep understanding of software platforms working with geospatial data (GIS, CAD engines, 3D modeling, or automated parametric design). Industrial Operations: Exposure to automated manufacturing execution systems (MES) managing statistical process control, telemetry monitoring, or fleet analytics in hardtech, renewable energy environments, or advanced manufacturing. What We Offer 11 paid company holidays and flexible Paid Time Off (PTO) Company-paid in-office lunches Stock options Medical, vision, dental, and other benefits Pre-tax commuter benefits 401(k) A chance to have an empowered, meaningful, and early role in climate How This Is A Fit You want to solve challenging problems You are biased towards action and focus on the vital work that drives the most impact You prioritize the physical and psychological safety of yourself and those around you You are humble, embrace change, and deliver and receive candid feedback You are optimistic about the future and can make tough decisions to help get there You have high expectations and coach, develop, and make time to help others Planted is an equal opportunity employer committed to growing inclusively, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, medical condition, age, or veteran status. However you identify, or whatever background you bring with you, please apply. We look forward to hearing from you.