Billable Hours: 80% of worked hours Travel: Minimal The Cybersecurity Engineer to serve as a subject matter expert in many areas of security, able to describe and document in business terms the impact of security policies, standards, and architecture. This person plays a vital dual role in our organization, with time being spent facilitating our Cybersecurity offering as well as focusing on CMMC Compliance. The Cybersecurity Engineer provides security direction to the business and project stakeholders to ensure that security is a key focus for all projects and new business initiatives, as well as technical expertise on assigned clients, tickets, and CMMC Compliance projects. ESSENTIAL FUNCTIONS: Project engagement during the initiation, requirements, and design stages to ensure that security has been considered and is included into the design at the appropriate level based on the risks Security review and design of complex applications and technologies Evaluation and maintenance of security system plans and procedures to safeguard internal information systems Researching and recommendation/implementation of changes to procedures and systems to enhance security aligned with corporate policies Accountable for ensuring that key risks and issues are identified, addressed and resolved in a manner that satisfies the business Perform security risk assessments to determine level of security services to include: Document Customers' Systems Liaison between ComTec and Cybersecurity Vendors Weekly review and analysis of Cybersecurity Reports ADDITIONAL RESPONSIBILITIES: Monitor assigned tickets and tasks and provide service or escalation as necessary. Develop tasks & milestones for security projects. Able to translate business and non-functional requirements to establish security controls so that a proper security design can be architected and to document the security solution for communication and publication. Demonstrated analytical skills - continuously identifies problems, collect or interpret data, establish facts, anticipate obstacles, and develops plans to resolve; strong problem-solving skills while communicating in a clear and succinct manner effectively evaluating information and data to make decisions. Proven understanding of the current vulnerabilities, response, and mitigation strategies used in Cybersecurity. Experience of designing and incorporating technical security controls that align to NIST 800-171, and/or CMMC. Prepared to challenge business and IT colleagues and have the "difficult conversations" where needed in the interests of the company. Demonstrated customer focus - evaluate decisions through the eyes of the customer; build strong customer relationships and create processes from the customer viewpoint. Able to operate as a highly independent worker and as part of a strong team/collaborative approach. Accurately enter and maintain ticket information including notes and resolution. Adhere to departmental policies for reporting and managing requests and change controls. Maintain daily timesheet and expense report entries and submit them accurately and timely. Other duties as required. TECHNICAL SKILLS: Strong background in security architecture including a deep knowledge of IT network security (secure LAN, WAN, vLAN, MPLS, and secure network zoning and restricted network design) and cloud-based technologies. Strong background in Network Engineering including a deep understanding of Windows Server architecture, Windows Virtualization, Networking, Backup Solutions, and Disaster Recovery Strong background in Microsoft security architecture including a deep knowledge of server and workstation security. Ability to troubleshoot server based software issues with: Microsoft Windows Server operating systems On Premise Microsoft Exchange and hosted Microsoft Office 365 Microsoft Remote Desktop Services Microsoft Hyper-V and VMWare Enterprise EDR and MDR solutions Enterprise class backup solutions Knowledgeable of various server/workstation peripherals such as NAS/SAN solutions. In depth knowledge of workstation/server hardware and software troubleshooting abilities Strong understanding of networking equipment such as Switches, Firewalls, and Wireless Access Points SOFT SKILLS & ABILITIES: Strong written and verbal communication skills. Pleasant and professional demeanor in all client and internal communications. Ability to multi task. Independent worker and able to work effectively on daily tasks without direct supervision. Strong organization skills and ability to operate efficiently throughout daily tasks. Work well with clients at all levels, from executive to IT to end user. EDUCATION, EXPERIENCE, & KNOWLEDGE: (5) years working in Information Technology (2) years in Cybersecurity (1) year in CMMC compliance Information Security Qualifications such as CISSP, CISM, CISA, and ISSAP, a plus. Certified CMMC Professional (CCP) Familiarity with NIST SP 800-171, or 800-53 Vulnerability Management ADDITIONAL REQUIREMENTS: Ability to schedule for evening or weekend work occasionally Valid driver's license in your state of residence and reliable personal vehicle WORK ENVIRONMENT/PHYSICAL DEMANDS: Use of computer and office equipment Ability to remain calm in stressful situations Performs all administrative functions expected at this level PIedea33ca061f-1570
08/05/2026
Full time
Billable Hours: 80% of worked hours Travel: Minimal The Cybersecurity Engineer to serve as a subject matter expert in many areas of security, able to describe and document in business terms the impact of security policies, standards, and architecture. This person plays a vital dual role in our organization, with time being spent facilitating our Cybersecurity offering as well as focusing on CMMC Compliance. The Cybersecurity Engineer provides security direction to the business and project stakeholders to ensure that security is a key focus for all projects and new business initiatives, as well as technical expertise on assigned clients, tickets, and CMMC Compliance projects. ESSENTIAL FUNCTIONS: Project engagement during the initiation, requirements, and design stages to ensure that security has been considered and is included into the design at the appropriate level based on the risks Security review and design of complex applications and technologies Evaluation and maintenance of security system plans and procedures to safeguard internal information systems Researching and recommendation/implementation of changes to procedures and systems to enhance security aligned with corporate policies Accountable for ensuring that key risks and issues are identified, addressed and resolved in a manner that satisfies the business Perform security risk assessments to determine level of security services to include: Document Customers' Systems Liaison between ComTec and Cybersecurity Vendors Weekly review and analysis of Cybersecurity Reports ADDITIONAL RESPONSIBILITIES: Monitor assigned tickets and tasks and provide service or escalation as necessary. Develop tasks & milestones for security projects. Able to translate business and non-functional requirements to establish security controls so that a proper security design can be architected and to document the security solution for communication and publication. Demonstrated analytical skills - continuously identifies problems, collect or interpret data, establish facts, anticipate obstacles, and develops plans to resolve; strong problem-solving skills while communicating in a clear and succinct manner effectively evaluating information and data to make decisions. Proven understanding of the current vulnerabilities, response, and mitigation strategies used in Cybersecurity. Experience of designing and incorporating technical security controls that align to NIST 800-171, and/or CMMC. Prepared to challenge business and IT colleagues and have the "difficult conversations" where needed in the interests of the company. Demonstrated customer focus - evaluate decisions through the eyes of the customer; build strong customer relationships and create processes from the customer viewpoint. Able to operate as a highly independent worker and as part of a strong team/collaborative approach. Accurately enter and maintain ticket information including notes and resolution. Adhere to departmental policies for reporting and managing requests and change controls. Maintain daily timesheet and expense report entries and submit them accurately and timely. Other duties as required. TECHNICAL SKILLS: Strong background in security architecture including a deep knowledge of IT network security (secure LAN, WAN, vLAN, MPLS, and secure network zoning and restricted network design) and cloud-based technologies. Strong background in Network Engineering including a deep understanding of Windows Server architecture, Windows Virtualization, Networking, Backup Solutions, and Disaster Recovery Strong background in Microsoft security architecture including a deep knowledge of server and workstation security. Ability to troubleshoot server based software issues with: Microsoft Windows Server operating systems On Premise Microsoft Exchange and hosted Microsoft Office 365 Microsoft Remote Desktop Services Microsoft Hyper-V and VMWare Enterprise EDR and MDR solutions Enterprise class backup solutions Knowledgeable of various server/workstation peripherals such as NAS/SAN solutions. In depth knowledge of workstation/server hardware and software troubleshooting abilities Strong understanding of networking equipment such as Switches, Firewalls, and Wireless Access Points SOFT SKILLS & ABILITIES: Strong written and verbal communication skills. Pleasant and professional demeanor in all client and internal communications. Ability to multi task. Independent worker and able to work effectively on daily tasks without direct supervision. Strong organization skills and ability to operate efficiently throughout daily tasks. Work well with clients at all levels, from executive to IT to end user. EDUCATION, EXPERIENCE, & KNOWLEDGE: (5) years working in Information Technology (2) years in Cybersecurity (1) year in CMMC compliance Information Security Qualifications such as CISSP, CISM, CISA, and ISSAP, a plus. Certified CMMC Professional (CCP) Familiarity with NIST SP 800-171, or 800-53 Vulnerability Management ADDITIONAL REQUIREMENTS: Ability to schedule for evening or weekend work occasionally Valid driver's license in your state of residence and reliable personal vehicle WORK ENVIRONMENT/PHYSICAL DEMANDS: Use of computer and office equipment Ability to remain calm in stressful situations Performs all administrative functions expected at this level PIedea33ca061f-1570
Description: Oak Grove Technologies, LLC, a dynamic and fast-growing federal contractor, is seeking a highly skilled and motivated Red Cyber Operator to support advanced Red Cyber operations through the execution of red team assessments, offensive cyber operations, and penetration testing. Oak Grove Technologies is a Service-Disabled Veteran-Owned Business based in Raleigh, NC, with a Test and Training Center located near Fort Bragg and Camp Mackall. With over 20 years of expertise in training, consulting, technology, and operational support, the company provides services to the military, government, and law enforcement. Committed to excellence, innovation, and national security, Oak Grove Technologies fulfills federal defense contracts and actively supports veterans through sponsorships and events. Driven by its mission-focused approach, the company seeks top talent to develop impactful solutions. Oak Grove Technologies offers a competitive compensation and benefits package. Requirements: What You'll Be Doing: Cyber Red Team Assessments, Penetration Testing, Offensive Cyber Operations. Performing penetration testing / red team operations to help validate the security of our nation's most critical systems. Sharing your expertise and insight to direct the activities of mid-level operators to guide the team in accomplishing their mission objectives. Antivirus evasion, EDR evasion, offensive infrastructure, phishing and social engineering Leveraging your expertise with tools like Cobalt Strike to discover vulnerabilities and exploit them to achieve mission objectives. Quickly crafting new scripts and capabilities on-the-fly during operations to ensure you have the capabilities you need for mission success. Working hand-in-hand with our expert development team to ensure design and development of long-term capabilities to enable your mission success. What Desired Skills You'll Bring: Offensive Cyber experience, DoD Cyber Red Team Experience, or corporate Red Team experience. Expertise in antivirus evasion, EDR evasion, offensive infrastructure, phishing and social engineering campaigns, and/or penetration testing of critical infrastructure, networking, IoT, and wireless devices. Red Team Apprentice Course (RTAC), Red Team Journeyman Course (RTJC), Certified Red Team Operator (CRTO) certification, Rogue Ops- Red Team 1 (ROPS), Offensive Security Certified Professional (OSCP), Global Information Assurance Certification, (GIAC) Exploit Researcher & Advanced Penetration Tester (GXPN), GIAC Penetration Tester (GPEN), and/or GIAC Web Application Penetration Tester (GWAP) or equivalent red team / penetration testing certifications. What Required Skills You'll Bring: U.S. Citizenship and an active Top Secret SCI security clearance is required for this position. Must pass the DCART Operator Aptitude Test using Cobalt Strike before joining DCART as an Operator. Experience as an operator conducting red team assessments, offensive cyber operations, or penetration testing. Mid-Level Operators: 1 year of experience conducting red team assessments, offensive cyber operations, or penetration testing, with 3+ years desired. Senior Level Operators: 3+ years' experience in conducting red team assessments, offensive cyber operations, or penetration testing and ability to direct the activities of mid-level operators, with 5+ years desired. Must hold an IAT Level III certification as defined and described in DoDD 8570.01, 8570.01-M, 8140.01-03, and as amended. Willingness and ability to travel 15% (CONUS/OCONUS). Security Clearance Requirements: U.S. Citizenship and an active Top Secret SCI security clearance is required for this position. Compensation and Benefits: Competitive Salary, PTO, Health Benefits. If you are a highly motivated Red Team Cyber Operator and ready to apply your expertise in a high-impact role, we encourage you to join our mission in supporting national security efforts while working with cutting-edge technologies. Oak Grove Technologies is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class. Oak Grove Technologies, LLC participates in E-Verify to determine an individual's identity and employment eligibility to work in the United States. E-Verify is a service of DHS and SSA. PI7a822f230b5c-1957
08/05/2026
Full time
Description: Oak Grove Technologies, LLC, a dynamic and fast-growing federal contractor, is seeking a highly skilled and motivated Red Cyber Operator to support advanced Red Cyber operations through the execution of red team assessments, offensive cyber operations, and penetration testing. Oak Grove Technologies is a Service-Disabled Veteran-Owned Business based in Raleigh, NC, with a Test and Training Center located near Fort Bragg and Camp Mackall. With over 20 years of expertise in training, consulting, technology, and operational support, the company provides services to the military, government, and law enforcement. Committed to excellence, innovation, and national security, Oak Grove Technologies fulfills federal defense contracts and actively supports veterans through sponsorships and events. Driven by its mission-focused approach, the company seeks top talent to develop impactful solutions. Oak Grove Technologies offers a competitive compensation and benefits package. Requirements: What You'll Be Doing: Cyber Red Team Assessments, Penetration Testing, Offensive Cyber Operations. Performing penetration testing / red team operations to help validate the security of our nation's most critical systems. Sharing your expertise and insight to direct the activities of mid-level operators to guide the team in accomplishing their mission objectives. Antivirus evasion, EDR evasion, offensive infrastructure, phishing and social engineering Leveraging your expertise with tools like Cobalt Strike to discover vulnerabilities and exploit them to achieve mission objectives. Quickly crafting new scripts and capabilities on-the-fly during operations to ensure you have the capabilities you need for mission success. Working hand-in-hand with our expert development team to ensure design and development of long-term capabilities to enable your mission success. What Desired Skills You'll Bring: Offensive Cyber experience, DoD Cyber Red Team Experience, or corporate Red Team experience. Expertise in antivirus evasion, EDR evasion, offensive infrastructure, phishing and social engineering campaigns, and/or penetration testing of critical infrastructure, networking, IoT, and wireless devices. Red Team Apprentice Course (RTAC), Red Team Journeyman Course (RTJC), Certified Red Team Operator (CRTO) certification, Rogue Ops- Red Team 1 (ROPS), Offensive Security Certified Professional (OSCP), Global Information Assurance Certification, (GIAC) Exploit Researcher & Advanced Penetration Tester (GXPN), GIAC Penetration Tester (GPEN), and/or GIAC Web Application Penetration Tester (GWAP) or equivalent red team / penetration testing certifications. What Required Skills You'll Bring: U.S. Citizenship and an active Top Secret SCI security clearance is required for this position. Must pass the DCART Operator Aptitude Test using Cobalt Strike before joining DCART as an Operator. Experience as an operator conducting red team assessments, offensive cyber operations, or penetration testing. Mid-Level Operators: 1 year of experience conducting red team assessments, offensive cyber operations, or penetration testing, with 3+ years desired. Senior Level Operators: 3+ years' experience in conducting red team assessments, offensive cyber operations, or penetration testing and ability to direct the activities of mid-level operators, with 5+ years desired. Must hold an IAT Level III certification as defined and described in DoDD 8570.01, 8570.01-M, 8140.01-03, and as amended. Willingness and ability to travel 15% (CONUS/OCONUS). Security Clearance Requirements: U.S. Citizenship and an active Top Secret SCI security clearance is required for this position. Compensation and Benefits: Competitive Salary, PTO, Health Benefits. If you are a highly motivated Red Team Cyber Operator and ready to apply your expertise in a high-impact role, we encourage you to join our mission in supporting national security efforts while working with cutting-edge technologies. Oak Grove Technologies is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class. Oak Grove Technologies, LLC participates in E-Verify to determine an individual's identity and employment eligibility to work in the United States. E-Verify is a service of DHS and SSA. PI7a822f230b5c-1957
Midwest Family Mutual Insurance Company
Urbandale, Iowa
Description: Position Summary The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort. The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality. Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment. Application Requirements Cover Letter and Resume: Please include the following in your cover letter A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality Your approach to reducing incorrect or unsupported outputs An example of how you supported other developers or teams in adopting AI capabilities Your physical remote work location state Salary expectations Responsibilities: Platform Architecture & Evolution : Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes. Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production. RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources. Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior. Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns. Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate. Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling. Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production. Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed. Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches. Research & Evaluation: Stay current with new models and tools. Evaluate them in a structured way and recommend adoption where appropriate. Requirements: Education & Certification College degree or Programming Certification (preferred) 5+ years of equivalent work experience Required Experience Experience building or working with AI/LLM-based systems in a production or near-production environment Strong understanding of agent-based patterns (ReAct, tool usage, etc.) Experience with retrieval-based systems (RAG), vector stores, or search pipelines Familiarity with evaluating non-deterministic system outputs Experience improving system quality through testing and iteration Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred Ability to work across technologies and integrate AI solutions into an existing enterprise environment Preferred Experience Experience working with multiple LLM providers Familiarity with emerging tools and frameworks in the agentic AI space Experience integrating with enterprise systems and data sources Experience mentoring or supporting other developers Personal Attributes Strategic thinker with strong analytical and problem-solving skills Technically proficient with broad systems knowledge Excellent interpersonal, written, and verbal communication skills Self-directed, collaborative, and highly organized Customer-oriented and able to navigate high-pressure environments Flexible and adaptable in regards to learning and understanding new technologies. Exceptional organizational skills and ability to keep track of multiple projects at a time. Ability to conduct research into software-related issues and products. Technically proficient. Exceptional attention to detail. Ability to work both independently and in a team-oriented, collaborative environment. Work Conditions Remote work environment following core hours 8AM-5PM Central Time Overtime may be required to meet project deadlines or monitor system processes. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices. Minimal travel will be required for the purpose of off-site software training and team meetings. Physically able to participate in virtual and in-person training sessions, presentations, and meetings. PI6a59fdda4e68-4236
08/05/2026
Full time
Description: Position Summary The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort. The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality. Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment. Application Requirements Cover Letter and Resume: Please include the following in your cover letter A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality Your approach to reducing incorrect or unsupported outputs An example of how you supported other developers or teams in adopting AI capabilities Your physical remote work location state Salary expectations Responsibilities: Platform Architecture & Evolution : Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes. Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production. RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources. Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior. Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns. Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate. Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling. Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production. Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed. Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches. Research & Evaluation: Stay current with new models and tools. Evaluate them in a structured way and recommend adoption where appropriate. Requirements: Education & Certification College degree or Programming Certification (preferred) 5+ years of equivalent work experience Required Experience Experience building or working with AI/LLM-based systems in a production or near-production environment Strong understanding of agent-based patterns (ReAct, tool usage, etc.) Experience with retrieval-based systems (RAG), vector stores, or search pipelines Familiarity with evaluating non-deterministic system outputs Experience improving system quality through testing and iteration Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred Ability to work across technologies and integrate AI solutions into an existing enterprise environment Preferred Experience Experience working with multiple LLM providers Familiarity with emerging tools and frameworks in the agentic AI space Experience integrating with enterprise systems and data sources Experience mentoring or supporting other developers Personal Attributes Strategic thinker with strong analytical and problem-solving skills Technically proficient with broad systems knowledge Excellent interpersonal, written, and verbal communication skills Self-directed, collaborative, and highly organized Customer-oriented and able to navigate high-pressure environments Flexible and adaptable in regards to learning and understanding new technologies. Exceptional organizational skills and ability to keep track of multiple projects at a time. Ability to conduct research into software-related issues and products. Technically proficient. Exceptional attention to detail. Ability to work both independently and in a team-oriented, collaborative environment. Work Conditions Remote work environment following core hours 8AM-5PM Central Time Overtime may be required to meet project deadlines or monitor system processes. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices. Minimal travel will be required for the purpose of off-site software training and team meetings. Physically able to participate in virtual and in-person training sessions, presentations, and meetings. PI6a59fdda4e68-4236
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies is looking for a Technical Product Manager to own the critical bridge between engineering execution and customer-ready software. At Zaden, product direction and delivery discipline are the same job - you'll define and protect MVP scope, drive the roadmap, and own the cadence that ships it. Reporting directly to the CEO, this is an individual contributor role with a clear, direct growth path to Head of Product. We're hiring for the function and the skill, not the title - if you've been doing this work under a different name (Senior PM, Product Lead, Technical Program Manager), we want to hear from you. Note: This position is either hybrid in Huntsville, Alabama or Remote w/ 10-20% travel. Role Responsibilities: Define and hold the MVP cut line for each product - no scope creep, no pre-launch feature drift Own and maintain the product roadmap across the full product portfolio in partnership with engineering Maintain an always-on demo environment; "demo-able in staging" is your definition of done Translate requirements from federal and enterprise customers into prioritized, precise engineering tickets Run structured user research and drive product decisions from evidence, not opinion Hold the honest line between selling the future and demoing the now Coordinate go-to-market timing for each shippable slice with sales and leadership Communicate fluidly in two directions - brief program managers in their language, write precise tickets for developers Required Qualifications: U.S. Citizenship and ability to obtain a security clearance 5+ years of product management or equivalent product delivery experience Demonstrated track record of taking a product from zero to one inside a complex organization with real stakeholders, competing priorities, and constraints Proven experience shipping software to paying customers - you know the difference between "capability exists" and "product is ready to sell" Technical fluency: able to hold scope conversations with engineers, read a pull request, and recognize when "almost done" is actually weeks away Proficiency with roadmap and delivery tools such as Jira, Linear, GitLab, etc Hands-on experience with AI assistants and agentic coding tools (e.g., Claude, Cursor, or Copilot) in daily work Experience in high-stakes, multi-stakeholder, regulated environments (defense, aerospace, government-adjacent, healthcare, finance, or similar) Bachelor's degree in a technical or quantitative field (computer science, software or systems engineering, information systems, electrical or mechanical engineering) or equivalent hands-on product experience Preferred Qualifications: Active security clearance Familiarity with DoD, federal research labs, or federal procurement, or enterprise software sold into government Experience delivering against government contract schedules or SBIR milestones Background in aerospace, defense tech, or engineering automation software Exposure to MBSE, systems engineering, or model-based workflows Familiarity with MBSE/SysML tooling such as Cameo/MagicDraw or SysML v2 Proficiency with product analytics tools such as Amplitude or Mixpanel, plus enough SQL to pull your own answers Experience with design and collaboration tools: Figma, Miro, Confluence, or Notion Cloud platform experience with AWS or Azure (GovCloud a plus) Master's degree in a technical field or MBA with a technology focus Product or agile certification (CSPO, Pragmatic Institute, or SAFe) or cloud certification (AWS or Azure) Expected Compensation: $150,000k-$170,000k/yr Compensation details: 00 Yearly Salary PIdaac27d6-
08/05/2026
Full time
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies is looking for a Technical Product Manager to own the critical bridge between engineering execution and customer-ready software. At Zaden, product direction and delivery discipline are the same job - you'll define and protect MVP scope, drive the roadmap, and own the cadence that ships it. Reporting directly to the CEO, this is an individual contributor role with a clear, direct growth path to Head of Product. We're hiring for the function and the skill, not the title - if you've been doing this work under a different name (Senior PM, Product Lead, Technical Program Manager), we want to hear from you. Note: This position is either hybrid in Huntsville, Alabama or Remote w/ 10-20% travel. Role Responsibilities: Define and hold the MVP cut line for each product - no scope creep, no pre-launch feature drift Own and maintain the product roadmap across the full product portfolio in partnership with engineering Maintain an always-on demo environment; "demo-able in staging" is your definition of done Translate requirements from federal and enterprise customers into prioritized, precise engineering tickets Run structured user research and drive product decisions from evidence, not opinion Hold the honest line between selling the future and demoing the now Coordinate go-to-market timing for each shippable slice with sales and leadership Communicate fluidly in two directions - brief program managers in their language, write precise tickets for developers Required Qualifications: U.S. Citizenship and ability to obtain a security clearance 5+ years of product management or equivalent product delivery experience Demonstrated track record of taking a product from zero to one inside a complex organization with real stakeholders, competing priorities, and constraints Proven experience shipping software to paying customers - you know the difference between "capability exists" and "product is ready to sell" Technical fluency: able to hold scope conversations with engineers, read a pull request, and recognize when "almost done" is actually weeks away Proficiency with roadmap and delivery tools such as Jira, Linear, GitLab, etc Hands-on experience with AI assistants and agentic coding tools (e.g., Claude, Cursor, or Copilot) in daily work Experience in high-stakes, multi-stakeholder, regulated environments (defense, aerospace, government-adjacent, healthcare, finance, or similar) Bachelor's degree in a technical or quantitative field (computer science, software or systems engineering, information systems, electrical or mechanical engineering) or equivalent hands-on product experience Preferred Qualifications: Active security clearance Familiarity with DoD, federal research labs, or federal procurement, or enterprise software sold into government Experience delivering against government contract schedules or SBIR milestones Background in aerospace, defense tech, or engineering automation software Exposure to MBSE, systems engineering, or model-based workflows Familiarity with MBSE/SysML tooling such as Cameo/MagicDraw or SysML v2 Proficiency with product analytics tools such as Amplitude or Mixpanel, plus enough SQL to pull your own answers Experience with design and collaboration tools: Figma, Miro, Confluence, or Notion Cloud platform experience with AWS or Azure (GovCloud a plus) Master's degree in a technical field or MBA with a technology focus Product or agile certification (CSPO, Pragmatic Institute, or SAFe) or cloud certification (AWS or Azure) Expected Compensation: $150,000k-$170,000k/yr Compensation details: 00 Yearly Salary PIdaac27d6-
Company Overview Allbridge is the leading supplier of world class connected technology solutions, services, and support for high density properties. With more than 35 years of continuous growth and industry experience, Allbridge supports technology in over one million rooms, in 8,000 properties, across North America and the Caribbean, including hotels, resorts, senior-living communities, condominiums, multifamily developments, and mixed-use properties. Job Summary We are seeking an experienced Salesforce Administrator to manage and optimize our Salesforce platform, ensuring seamless performance, usability, and integration with business processes. The ideal candidate will be responsible for configuring, maintaining, and enhancing our Salesforce ecosystem while supporting users across various departments. This role requires demonstrated expertise with Sales Cloud and CPQ, including the ability to create and maintain CPQ solutions within Salesforce. The candidate will be part of a small team of System Engineers and Administrators, reporting directly to the Chief Information Officer (CIO). The position demands critical thinking, process optimization, and strong data design skills, with a focus on responsiveness, creativity, and execution. There is an opportunity for future growth within the company through cross-training on Netsuite and other systems. Our technology environment includes Salesforce, Service Cloud, CPQ, Dell Boomi, and NetSuite. While experience in all is ideal, expertise in one or more is acceptable. Essential Job Functions and Responsibilities Collaborate with stakeholders to design and implement Salesforce and NetSuite solutions that address business challenges. Develop, maintain, and optimize CPQ solutions within Salesforce. Assist with data analysis, report generation, and cross-training staff on system functionalities. Build, test, deploy, and support both large-scale system designs and small enhancements. Perform Salesforce administrative tasks, including permissions management, account creation, and batch data imports. Research and recommend related technologies and integrations to improve business efficiency. Participate in quarterly permission audits to ensure security and compliance. Uphold Allbridge's core values by treating all customers, internal and external, with professionalism, honesty, and respect. Take ownership and accountability for role responsibilities, striving to deliver high-quality results. Perform other miscellaneous duties as assigned by management. Required Qualifications Minimum 2 years of Salesforce administration experience. Bachelor's degree in IT, Business, or Information Systems preferred. Strong analytical and data-modeling skills. Demonstrated experience in CPQ implementation and maintenance within Salesforce. Proficiency in Salesforce, Service Cloud, and CPQ is required. Experience with any of the following is a plus: NetSuite, Celigo , Dell Boomi, Tesorio , FloQast , Avalara. Demonstrated experience with AI tools Must be authorized to work in the U.S. without any restrictions. Workplace Benefits We Offer In addition to earnings and other incentives Allbridge offers a comprehensive package of benefits, based on eligibility, typically for regular, full-time positions, some of which includes: Medical and Prescription options, Dental, Orthodontics and Vision Plans Rich HSA company-funded options and Flexible Spending accounts 100% Company paid premiums for Short Term Disability Life and Accidental Death and Dismemberment insurance Plan options Supplemental Insurance Plan options 401(k) Profit-Sharing Retirement plan Flexible Paid Time Off after 60 days of employment Paid Holidays, per Employee Handbook Great workplace culture that embodies our values Equal Opportunity Employer Statement Allbridge is an Equal Opportunity Employer. Allbridge does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. PIbe8cfe4f708f-2970
08/05/2026
Full time
Company Overview Allbridge is the leading supplier of world class connected technology solutions, services, and support for high density properties. With more than 35 years of continuous growth and industry experience, Allbridge supports technology in over one million rooms, in 8,000 properties, across North America and the Caribbean, including hotels, resorts, senior-living communities, condominiums, multifamily developments, and mixed-use properties. Job Summary We are seeking an experienced Salesforce Administrator to manage and optimize our Salesforce platform, ensuring seamless performance, usability, and integration with business processes. The ideal candidate will be responsible for configuring, maintaining, and enhancing our Salesforce ecosystem while supporting users across various departments. This role requires demonstrated expertise with Sales Cloud and CPQ, including the ability to create and maintain CPQ solutions within Salesforce. The candidate will be part of a small team of System Engineers and Administrators, reporting directly to the Chief Information Officer (CIO). The position demands critical thinking, process optimization, and strong data design skills, with a focus on responsiveness, creativity, and execution. There is an opportunity for future growth within the company through cross-training on Netsuite and other systems. Our technology environment includes Salesforce, Service Cloud, CPQ, Dell Boomi, and NetSuite. While experience in all is ideal, expertise in one or more is acceptable. Essential Job Functions and Responsibilities Collaborate with stakeholders to design and implement Salesforce and NetSuite solutions that address business challenges. Develop, maintain, and optimize CPQ solutions within Salesforce. Assist with data analysis, report generation, and cross-training staff on system functionalities. Build, test, deploy, and support both large-scale system designs and small enhancements. Perform Salesforce administrative tasks, including permissions management, account creation, and batch data imports. Research and recommend related technologies and integrations to improve business efficiency. Participate in quarterly permission audits to ensure security and compliance. Uphold Allbridge's core values by treating all customers, internal and external, with professionalism, honesty, and respect. Take ownership and accountability for role responsibilities, striving to deliver high-quality results. Perform other miscellaneous duties as assigned by management. Required Qualifications Minimum 2 years of Salesforce administration experience. Bachelor's degree in IT, Business, or Information Systems preferred. Strong analytical and data-modeling skills. Demonstrated experience in CPQ implementation and maintenance within Salesforce. Proficiency in Salesforce, Service Cloud, and CPQ is required. Experience with any of the following is a plus: NetSuite, Celigo , Dell Boomi, Tesorio , FloQast , Avalara. Demonstrated experience with AI tools Must be authorized to work in the U.S. without any restrictions. Workplace Benefits We Offer In addition to earnings and other incentives Allbridge offers a comprehensive package of benefits, based on eligibility, typically for regular, full-time positions, some of which includes: Medical and Prescription options, Dental, Orthodontics and Vision Plans Rich HSA company-funded options and Flexible Spending accounts 100% Company paid premiums for Short Term Disability Life and Accidental Death and Dismemberment insurance Plan options Supplemental Insurance Plan options 401(k) Profit-Sharing Retirement plan Flexible Paid Time Off after 60 days of employment Paid Holidays, per Employee Handbook Great workplace culture that embodies our values Equal Opportunity Employer Statement Allbridge is an Equal Opportunity Employer. Allbridge does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. PIbe8cfe4f708f-2970
Take your career to new heights. Come join us at MORI Associates and help us support the most exciting projects at NASA. As a Digital Archivist you will be part of a dedicated team of diverse professionals creating and supporting cutting edge solutions for our client's critical missions. MORI is a mid-sized nationwide company founded in 1997 with the ideals that creating an agile organization full of innovative and passionate people will progress science and technology for all life on earth. We focus on offering a complete range of services from strategic consulting to the development of Information Systems and providing advanced engineering solutions. Now, let's see if this opportunity is the right challenge for you. Responsibilities: Perform analog preservation functions including holdings maintenance, fastener removal, rehousing, etc. Support digital preservation functions including processing and transformation of digital objects, capture of metadata, and utilization of the Open Archival Information System (OAIS) model as a standard for digital preservation. Enable search and discovery through the creation of archival descriptions using standards-based archival description systems, metadata capture and normalization, and digitization. Maintain a thorough and up-to-date understanding of digital file formats, digital preservation, and digital persistence practice and theory. Create, document, and follow archival processes, workflows and best practices. Contribute to online outreach content in the form of blogs and social media. Generate routine and/or ad-hoc reports for NASA Office of Communication (OCOMM) management/customers. Directly interface with OCOMM management and/or customers as needed. Respond to queries from internal and external sources for access to archival material and answer questions from both academic researchers and the general public related to archival holdings. Qualifications 10+ years of experience in research and analysis and preservation of documents and materials. Master's degree in library science or library and information science from an ALA-accredited institution with a focus in archival studies. A membership in the Academy of Certified Archivists may be substituted for degree requirements. Digital Archives Specialist (DAS) certification desired. Demonstrated knowledge of and/or experience with digital archives tools, standards, and/or best practices. Familiar with metadata and technical standards relevant to archival collections (e.g., DACS, DublinCore, ISAD(G), etc.). Experience with archival technologies and tools related to appraising, accessioning, processing, preserving, describing, and enabling access to born-digital archives (e.g., Access to Memory (AtoM), Webrecorder, BitCurator, ePADD, Archivematica, ArchivesSpace, command-line tools, spreadsheets, etc.). Must have strong communication skills and be able to work collaboratively. Must be a US citizen. Salary Range is $60K to 65K At MORI Associates, we value our employees and offer a competitive compensation package, including comprehensive benefits (medical/dental/vision care) and matching funds for 401K plan. MORI Associates is an EEO/AA/Disability/Vets Employer and complies with E-Verify. Powered by JazzHR Compensation details: 0 Yearly Salary PI1bc9dbc4e6-
08/05/2026
Full time
Take your career to new heights. Come join us at MORI Associates and help us support the most exciting projects at NASA. As a Digital Archivist you will be part of a dedicated team of diverse professionals creating and supporting cutting edge solutions for our client's critical missions. MORI is a mid-sized nationwide company founded in 1997 with the ideals that creating an agile organization full of innovative and passionate people will progress science and technology for all life on earth. We focus on offering a complete range of services from strategic consulting to the development of Information Systems and providing advanced engineering solutions. Now, let's see if this opportunity is the right challenge for you. Responsibilities: Perform analog preservation functions including holdings maintenance, fastener removal, rehousing, etc. Support digital preservation functions including processing and transformation of digital objects, capture of metadata, and utilization of the Open Archival Information System (OAIS) model as a standard for digital preservation. Enable search and discovery through the creation of archival descriptions using standards-based archival description systems, metadata capture and normalization, and digitization. Maintain a thorough and up-to-date understanding of digital file formats, digital preservation, and digital persistence practice and theory. Create, document, and follow archival processes, workflows and best practices. Contribute to online outreach content in the form of blogs and social media. Generate routine and/or ad-hoc reports for NASA Office of Communication (OCOMM) management/customers. Directly interface with OCOMM management and/or customers as needed. Respond to queries from internal and external sources for access to archival material and answer questions from both academic researchers and the general public related to archival holdings. Qualifications 10+ years of experience in research and analysis and preservation of documents and materials. Master's degree in library science or library and information science from an ALA-accredited institution with a focus in archival studies. A membership in the Academy of Certified Archivists may be substituted for degree requirements. Digital Archives Specialist (DAS) certification desired. Demonstrated knowledge of and/or experience with digital archives tools, standards, and/or best practices. Familiar with metadata and technical standards relevant to archival collections (e.g., DACS, DublinCore, ISAD(G), etc.). Experience with archival technologies and tools related to appraising, accessioning, processing, preserving, describing, and enabling access to born-digital archives (e.g., Access to Memory (AtoM), Webrecorder, BitCurator, ePADD, Archivematica, ArchivesSpace, command-line tools, spreadsheets, etc.). Must have strong communication skills and be able to work collaboratively. Must be a US citizen. Salary Range is $60K to 65K At MORI Associates, we value our employees and offer a competitive compensation package, including comprehensive benefits (medical/dental/vision care) and matching funds for 401K plan. MORI Associates is an EEO/AA/Disability/Vets Employer and complies with E-Verify. Powered by JazzHR Compensation details: 0 Yearly Salary PI1bc9dbc4e6-
This is an on-site role in Cincinnati, OH Curious about a career with NorthPoint ? NorthPoint is a real estate developer that has grown through combining an entrepreneurial spirit and empowerment of its team members. We are looking for a Development Associate - Digital Infrastructure to join our growing data center team. NorthPoint provides an inclusive environment that cultivates collaboration and mentorship. Our core values set the foundation of our culture and guide us in every business decision. "We truly believe, and I'm convinced, we have some pretty incredible assets. But those assets have all come from our people." - Nathaniel Hagedorn CEO. How We Put You First: At NorthPoint Development we ask a lot of our employees, which is why we give so much in return. In addition to your competitive salary, we offer market-leading benefits and perks: A selection of comprehensive medical, dental, and vision plans 401k with 100% match up to 6%, immediately vested upon enrollment Scholarships and paid professional development Wellness Spending Account Cellphone Reimbursement On-site gym Mental Health Reimbursement Childcare Reimbursement $2,000 annual HRA and HSA contribution Free catered lunches + fully stocked kitchen Parental Paid Leave Flexible Spending Account Living Generously program with 100% charitable contribution match What You'll Do Conduct market analysis and compile research to identify and implement a strategy around data center development and other value-add opportunities. Assess feasibility and profitability of new development opportunities through market research, initial underwriting, block planning, and thesis generation. Coordinate with internal and external consultants to assess development viability including, but not limited to, land use, site planning, environmental risk assessment, geotechnical analysis, and entitlement mapping. Create compelling presentations and reports to support development assumptions, reach consensus, and pitch new development opportunities to internal and external stakeholders. Internally track and document all new opportunities, the competitive landscape, market and regional trends, and market activity. Ability to assist the leadership team in advancing strategic initiatives. Conduct ongoing research into the data center industry, including market trends, technologies, and best practices, and synthesize findings into a centralized internal knowledge base to support team-wide learning and informed decision-making. Who You Are Bachelor's degree in Engineering, Business, Real Estate, or related field. Proven experience in data centers, real estate development, sourcing, underwriting, or other related areas is highly preferred. Strong analytical skills in order to identify industry trends, assess financial viability, and identify risk associated with development opportunities. Excellent communication and presentation skills. Must be a self-starter with the ability to work both independently and collaboratively in a fast-paced environment. Proficiency in MS Office and relevant real estate software. Open to travel as needed. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. PIba772a89dc62-6149
08/05/2026
Full time
This is an on-site role in Cincinnati, OH Curious about a career with NorthPoint ? NorthPoint is a real estate developer that has grown through combining an entrepreneurial spirit and empowerment of its team members. We are looking for a Development Associate - Digital Infrastructure to join our growing data center team. NorthPoint provides an inclusive environment that cultivates collaboration and mentorship. Our core values set the foundation of our culture and guide us in every business decision. "We truly believe, and I'm convinced, we have some pretty incredible assets. But those assets have all come from our people." - Nathaniel Hagedorn CEO. How We Put You First: At NorthPoint Development we ask a lot of our employees, which is why we give so much in return. In addition to your competitive salary, we offer market-leading benefits and perks: A selection of comprehensive medical, dental, and vision plans 401k with 100% match up to 6%, immediately vested upon enrollment Scholarships and paid professional development Wellness Spending Account Cellphone Reimbursement On-site gym Mental Health Reimbursement Childcare Reimbursement $2,000 annual HRA and HSA contribution Free catered lunches + fully stocked kitchen Parental Paid Leave Flexible Spending Account Living Generously program with 100% charitable contribution match What You'll Do Conduct market analysis and compile research to identify and implement a strategy around data center development and other value-add opportunities. Assess feasibility and profitability of new development opportunities through market research, initial underwriting, block planning, and thesis generation. Coordinate with internal and external consultants to assess development viability including, but not limited to, land use, site planning, environmental risk assessment, geotechnical analysis, and entitlement mapping. Create compelling presentations and reports to support development assumptions, reach consensus, and pitch new development opportunities to internal and external stakeholders. Internally track and document all new opportunities, the competitive landscape, market and regional trends, and market activity. Ability to assist the leadership team in advancing strategic initiatives. Conduct ongoing research into the data center industry, including market trends, technologies, and best practices, and synthesize findings into a centralized internal knowledge base to support team-wide learning and informed decision-making. Who You Are Bachelor's degree in Engineering, Business, Real Estate, or related field. Proven experience in data centers, real estate development, sourcing, underwriting, or other related areas is highly preferred. Strong analytical skills in order to identify industry trends, assess financial viability, and identify risk associated with development opportunities. Excellent communication and presentation skills. Must be a self-starter with the ability to work both independently and collaboratively in a fast-paced environment. Proficiency in MS Office and relevant real estate software. Open to travel as needed. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. PIba772a89dc62-6149
Job Description Job Description About the Role Join a Series A AI-powered engineering automation startup that is reimagining computer-aided engineering (CAE) for the AI era. As an AI/ML Engineer , you will shape the future of simulation and design automation by building AI that thinks like an engineer. You'll design, train, and deploy models that accelerate simulation, improve accuracy, and unlock new ways of exploring the design space - from adaptive solvers and reduced-order modeling to generative design and real-time validation. You'll work alongside experts in engineering and applied AI to integrate machine learning directly into high-fidelity simulation pipelines, helping customers iterate faster, diagnose failures earlier, and bring better products to market. This is an early, foundational opportunity with real impact at a fast-moving startup. Visa sponsorship is available for this role. What You'll Do Research, design, and develop AI/ML algorithms to tackle complex challenges in computer-aided engineering, simulation, and design automation. Build scalable AI solutions and collaborate with cross-functional teams to integrate models seamlessly into existing CAE workflows and infrastructure. Lead performance improvements - from optimizing model accuracy to analyzing outputs and addressing system-level bottlenecks. Guide AI/ML projects end-to-end, from research and prototyping through to scalable production deployment. Partner with engineering domain experts to develop physics-informed and geometry-aware ML approaches. What We're Looking For Required: 4+ years of experience developing and deploying AI/ML models with a proven track record of delivering impact in applied engineering or scientific domains. 2+ years of technical leadership guiding AI/ML projects from research to production. Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, JAX, TensorFlow). Experience with AI/ML algorithms for sequential, spatial, or physics-informed data (e.g., time series, mesh, or simulation outputs). Familiarity with MLOps practices and building AI/ML systems end-to-end, from prototyping to scalable deployment. Bachelor's or advanced degree in Computer Science, Mechanical Engineering, Electrical Engineering, or a related field. Strong problem-solving skills and attention to detail with demonstrated project success. Ability to work collaboratively with cross-functional teams and communicate technical concepts effectively. Nice to Have: Experience with computer-aided engineering (CAE), computer-aided design (CAD), and/or product lifecycle management (PLM) tools (e.g., ANSYS, SolidWorks, Abaqus, COMSOL, CREO, Autodesk Inventor). Experience in a fast-paced, early-stage startup environment. Familiarity with proficiency in C++ or Java in addition to Python. Understanding of engineering principles in simulation, modeling, and optimization. Compensation & Benefits Salary: $150,000 - $250,000 USD per year, depending on experience. Early-stage equity opportunity. Work alongside a team with backgrounds from leading national labs, research institutions, and top-tier technology companies. Location This role is based on-site in San Francisco, California, USA . The company is headquartered in San Francisco and prefers candidates who can work from the office.
08/05/2026
Full time
Job Description Job Description About the Role Join a Series A AI-powered engineering automation startup that is reimagining computer-aided engineering (CAE) for the AI era. As an AI/ML Engineer , you will shape the future of simulation and design automation by building AI that thinks like an engineer. You'll design, train, and deploy models that accelerate simulation, improve accuracy, and unlock new ways of exploring the design space - from adaptive solvers and reduced-order modeling to generative design and real-time validation. You'll work alongside experts in engineering and applied AI to integrate machine learning directly into high-fidelity simulation pipelines, helping customers iterate faster, diagnose failures earlier, and bring better products to market. This is an early, foundational opportunity with real impact at a fast-moving startup. Visa sponsorship is available for this role. What You'll Do Research, design, and develop AI/ML algorithms to tackle complex challenges in computer-aided engineering, simulation, and design automation. Build scalable AI solutions and collaborate with cross-functional teams to integrate models seamlessly into existing CAE workflows and infrastructure. Lead performance improvements - from optimizing model accuracy to analyzing outputs and addressing system-level bottlenecks. Guide AI/ML projects end-to-end, from research and prototyping through to scalable production deployment. Partner with engineering domain experts to develop physics-informed and geometry-aware ML approaches. What We're Looking For Required: 4+ years of experience developing and deploying AI/ML models with a proven track record of delivering impact in applied engineering or scientific domains. 2+ years of technical leadership guiding AI/ML projects from research to production. Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, JAX, TensorFlow). Experience with AI/ML algorithms for sequential, spatial, or physics-informed data (e.g., time series, mesh, or simulation outputs). Familiarity with MLOps practices and building AI/ML systems end-to-end, from prototyping to scalable deployment. Bachelor's or advanced degree in Computer Science, Mechanical Engineering, Electrical Engineering, or a related field. Strong problem-solving skills and attention to detail with demonstrated project success. Ability to work collaboratively with cross-functional teams and communicate technical concepts effectively. Nice to Have: Experience with computer-aided engineering (CAE), computer-aided design (CAD), and/or product lifecycle management (PLM) tools (e.g., ANSYS, SolidWorks, Abaqus, COMSOL, CREO, Autodesk Inventor). Experience in a fast-paced, early-stage startup environment. Familiarity with proficiency in C++ or Java in addition to Python. Understanding of engineering principles in simulation, modeling, and optimization. Compensation & Benefits Salary: $150,000 - $250,000 USD per year, depending on experience. Early-stage equity opportunity. Work alongside a team with backgrounds from leading national labs, research institutions, and top-tier technology companies. Location This role is based on-site in San Francisco, California, USA . The company is headquartered in San Francisco and prefers candidates who can work from the office.
Date Posted: 2026-06-10 Country: United States of America Location: US-MA-TEWKSBURY-TB3 50 Apple Hill Dr CONCORD BLDG, Tewksbury Tb3 300 Concord Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date 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. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. We are seeking a skilled and detail-oriented Principal Software Development Engineer with a focus on developing complex systems in C/C++ as part of our Patriot Software Team in Tewksbury, Massachusetts. The ideal candidate will have a passion for creating high-performance applications and will be involved in all stages of the software development lifecycle. Patriot is the world's pre-eminent air defense system, and we are currently developing software in support of new system capabilities. In this role, you will work closely with software developers, system architects, and product leads to ensure that the solutions we deliver meet our customers' requirements. You'll have the opportunity to work in a dynamic, fast-paced environment where your contributions will have a direct impact on the success of our products around the world. The position works in a SCIF environment with an optional 9/80 schedule accommodate work/life balance practices. What You Will Do Design, develop, and maintain software applications using C and C++ for complex systems and applications. Collaborate with cross-functional teams to define, design, and implement new features, ensuring system integration and scalability. Troubleshoot, debug, and optimize existing code for performance and efficiency in complex environments. Participate in code reviews and ensure adherence to coding standards and best practices. Light travel and off hours testing (2nd or 3rd shift) may occasionally be required. This position requires exclusive onsite presence. Qualifications You Must Have Typically requires a bachelor's in science, Technology, Engineering, or Mathematics (STEM) and a minimum of 8 years of experience. Experience in developing complex systems and applications using C/C++, Java or other object-oriented programming language. Experience in embedded systems, real-time systems, or large-scale applications. Experience in a Unix/Linux operating system. Ability to obtain Interim Secret U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Active Secret security clearance. Experience with multithreading, memory management, or performance optimization in complex environments. Experience with data structures, algorithms, and software design principles, particularly in high-concurrency and distributed systems. Experience with Network Communication Protocols, Shell Scripting (tcsh, csh, bash), software development tools like Git/Clearcase, software debuggers, and using embedded RTOSs (e.g. VxWorks, Integrity). Experience with with version control systems (e.g., Git). Experience with software development methodologies (Agile, Scrum, etc.). What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - Relocation assistance available. Learn More & Apply Now! As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
08/05/2026
Full time
Date Posted: 2026-06-10 Country: United States of America Location: US-MA-TEWKSBURY-TB3 50 Apple Hill Dr CONCORD BLDG, Tewksbury Tb3 300 Concord Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date 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. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. We are seeking a skilled and detail-oriented Principal Software Development Engineer with a focus on developing complex systems in C/C++ as part of our Patriot Software Team in Tewksbury, Massachusetts. The ideal candidate will have a passion for creating high-performance applications and will be involved in all stages of the software development lifecycle. Patriot is the world's pre-eminent air defense system, and we are currently developing software in support of new system capabilities. In this role, you will work closely with software developers, system architects, and product leads to ensure that the solutions we deliver meet our customers' requirements. You'll have the opportunity to work in a dynamic, fast-paced environment where your contributions will have a direct impact on the success of our products around the world. The position works in a SCIF environment with an optional 9/80 schedule accommodate work/life balance practices. What You Will Do Design, develop, and maintain software applications using C and C++ for complex systems and applications. Collaborate with cross-functional teams to define, design, and implement new features, ensuring system integration and scalability. Troubleshoot, debug, and optimize existing code for performance and efficiency in complex environments. Participate in code reviews and ensure adherence to coding standards and best practices. Light travel and off hours testing (2nd or 3rd shift) may occasionally be required. This position requires exclusive onsite presence. Qualifications You Must Have Typically requires a bachelor's in science, Technology, Engineering, or Mathematics (STEM) and a minimum of 8 years of experience. Experience in developing complex systems and applications using C/C++, Java or other object-oriented programming language. Experience in embedded systems, real-time systems, or large-scale applications. Experience in a Unix/Linux operating system. Ability to obtain Interim Secret U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Active Secret security clearance. Experience with multithreading, memory management, or performance optimization in complex environments. Experience with data structures, algorithms, and software design principles, particularly in high-concurrency and distributed systems. Experience with Network Communication Protocols, Shell Scripting (tcsh, csh, bash), software development tools like Git/Clearcase, software debuggers, and using embedded RTOSs (e.g. VxWorks, Integrity). Experience with with version control systems (e.g., Git). Experience with software development methodologies (Agile, Scrum, etc.). What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - Relocation assistance available. Learn More & Apply Now! As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Job Description Job Description This role requires you to be in our San Francisco office (Atherton near Palo Alto). The Role You'll deliver our AI platform the world's leading semiconductor and consumer electronics companies, and collaborate with them to develop new features. (This is not an exaggeration.) About Voltai Voltai is developing models and agents to evaluate, design, and interact with hardware and electronic systems. The Team We're hackers, researchers, and operators obsessed with building AI for electronic systems and semiconductors. Our team includes former Stanford professors, SAIL researchers, Olympiad medalists, and executives from Synopsys, GlobalFoundries, and Cadence. Despite the name drops, we care far more about execution than titles. We're backed by Stanford, Sequoia, and leadership at Google, AMD, Broadcom and more. In other words, we have deep, deep access to the industry. What You'll Do Own customer deployments at offices across the SF Bay Area, Cupertino, and Santa Clara. Develop features specific to customer workflows and port features from our cloud product to on-prem environments inside some of the most locked-down infrastructure on the planet. Manage cloud deployments across AWS, Azure, GCP, and OpenShift: standing them up, keeping them healthy, debugging them when they're not. Learn about hardware design. Previous experience is not expected, but you should be eager to familiarize yourself with how hardware is developed at a high-level. What We're Seeking For We care about how you think, not how you keyword-match 5+ years in backend engineering, full-stack development, or infrastructure/DevOps: internships and teaching assistantships don't count Familiarity with agent development and RAG Strong systems design and debugging instincts Comfortable with the Docker ecosystem, cloud infrastructure (AWS, Azure, GCP), and IaC tools Willingness to travel, mostly in California Bonus Points For On-prem deployment experience in enterprise or air-gapped environments Prior field engineering, solutions engineering, or customer-facing technical roles Experience in EDA, semiconductor, or hardware-adjacent software environments Our AI Bullshit Meter We are very good at catching people who use AI to exaggerate their abilities whether on paper or during interviews. Please don't waste our time. -
08/05/2026
Full time
Job Description Job Description This role requires you to be in our San Francisco office (Atherton near Palo Alto). The Role You'll deliver our AI platform the world's leading semiconductor and consumer electronics companies, and collaborate with them to develop new features. (This is not an exaggeration.) About Voltai Voltai is developing models and agents to evaluate, design, and interact with hardware and electronic systems. The Team We're hackers, researchers, and operators obsessed with building AI for electronic systems and semiconductors. Our team includes former Stanford professors, SAIL researchers, Olympiad medalists, and executives from Synopsys, GlobalFoundries, and Cadence. Despite the name drops, we care far more about execution than titles. We're backed by Stanford, Sequoia, and leadership at Google, AMD, Broadcom and more. In other words, we have deep, deep access to the industry. What You'll Do Own customer deployments at offices across the SF Bay Area, Cupertino, and Santa Clara. Develop features specific to customer workflows and port features from our cloud product to on-prem environments inside some of the most locked-down infrastructure on the planet. Manage cloud deployments across AWS, Azure, GCP, and OpenShift: standing them up, keeping them healthy, debugging them when they're not. Learn about hardware design. Previous experience is not expected, but you should be eager to familiarize yourself with how hardware is developed at a high-level. What We're Seeking For We care about how you think, not how you keyword-match 5+ years in backend engineering, full-stack development, or infrastructure/DevOps: internships and teaching assistantships don't count Familiarity with agent development and RAG Strong systems design and debugging instincts Comfortable with the Docker ecosystem, cloud infrastructure (AWS, Azure, GCP), and IaC tools Willingness to travel, mostly in California Bonus Points For On-prem deployment experience in enterprise or air-gapped environments Prior field engineering, solutions engineering, or customer-facing technical roles Experience in EDA, semiconductor, or hardware-adjacent software environments Our AI Bullshit Meter We are very good at catching people who use AI to exaggerate their abilities whether on paper or during interviews. Please don't waste our time. -
JOB SUMMARY Specialty Systems, Inc. has an opening for a Computer Scientist / Software Engineer to join our team of technical professionals supporting Government customers and national security mission requirements. In this role, you will support the design, development, testing, and sustainment of software-intensive systems used in military command and control, cryptologic mission activities, and other weapons and intelligence systems. The position involves working within Government-provided environments and adhering to established engineering processes, documentation standards, and development practices. As a member of the Specialty Systems team, you will contribute directly to software solutions that support critical defense and intelligence missions. This position is located at our customer site location at Joint Base MDL. In this position, you will work our customer's Compressed Work Schedule which consists of working four 9hour days (M-Th) and an 8-hour day (F) for the first week of a cycle followed by four 9-hour days (M-Th) and being off on the second Friday for the second week of a cycle. This results in a 3-day weekend every other week! RESPONSIBILITIES Design, develop, modify, debug, and test software applications supporting mission-critical software-intensive systems Develop, modify, debug, and test software applications primarily using C# Support lab and operational site-based system testing Support Agile development practices including sprint planning, tasking, and iterative delivery Create and execute software unit and integration tests and document results in accordance with program standards Support software/hardware and system integration, verification, and validation testing Assist with troubleshooting issues across development, test, and operational environments and provide technical recommendations Produce technical documentation and formal reporting as required Participate in technical meetings, reviews, and Integrated Product Team (IPT) collaboration with Government and contractor personnel Comply with applicable processes and guidance including government security and mission requirements QUALIFICATIONS: Minimum Qualifications include: Active Secret Clearance required at time of start Bachelor's degree in computer science, Information Systems, Mathematics, Operations Research, Statistics, Engineering/Science, or related technical discipline 3-10 years of experience in software development, testing, and support Strongly Preferred Experience developing software using C# Experience developing and executing unit and integration tests Experience working on Agile software development teams Experience preparing software documentation and technical reports Desired Experience with automated software testing frameworks Experience with DevSecOps and CI/CD pipelines Experience with user interface development Experience using Git for source control Specialty Systems, Inc. provides equal employment opportunity (EEO) to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, genetic information, marital status, ancestry, protected veteran status, or any other characteristic protected by applicable federal, state, and local laws and offers equal opportunity for VEVRAA Protected Veterans. Specialty Systems, Inc. will not discriminate against employees and job applicants who inquire about, discuss, or disclose compensation information. Reasonable accommodation that does not cause an undue hardship on the company may be made to enable individuals with disabilities to perform essential functions, as long as that would not hinder or prevent performance of duties or be of a safety concern. PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is required to reach with hands and arms. The employee is frequently required to sit, stand and walk. The employee may be required to move ten pounds and could occasionally lift or move up to twenty-five pounds. Disclaimer: The listed duties are not intended to serve as a comprehensive list of all duties performed by all employees in this classification, only a representative summary of primary duties and responsibilities. Compensation details: 00 Yearly Salary PIf5cc9f1594f5-2211
08/05/2026
Full time
JOB SUMMARY Specialty Systems, Inc. has an opening for a Computer Scientist / Software Engineer to join our team of technical professionals supporting Government customers and national security mission requirements. In this role, you will support the design, development, testing, and sustainment of software-intensive systems used in military command and control, cryptologic mission activities, and other weapons and intelligence systems. The position involves working within Government-provided environments and adhering to established engineering processes, documentation standards, and development practices. As a member of the Specialty Systems team, you will contribute directly to software solutions that support critical defense and intelligence missions. This position is located at our customer site location at Joint Base MDL. In this position, you will work our customer's Compressed Work Schedule which consists of working four 9hour days (M-Th) and an 8-hour day (F) for the first week of a cycle followed by four 9-hour days (M-Th) and being off on the second Friday for the second week of a cycle. This results in a 3-day weekend every other week! RESPONSIBILITIES Design, develop, modify, debug, and test software applications supporting mission-critical software-intensive systems Develop, modify, debug, and test software applications primarily using C# Support lab and operational site-based system testing Support Agile development practices including sprint planning, tasking, and iterative delivery Create and execute software unit and integration tests and document results in accordance with program standards Support software/hardware and system integration, verification, and validation testing Assist with troubleshooting issues across development, test, and operational environments and provide technical recommendations Produce technical documentation and formal reporting as required Participate in technical meetings, reviews, and Integrated Product Team (IPT) collaboration with Government and contractor personnel Comply with applicable processes and guidance including government security and mission requirements QUALIFICATIONS: Minimum Qualifications include: Active Secret Clearance required at time of start Bachelor's degree in computer science, Information Systems, Mathematics, Operations Research, Statistics, Engineering/Science, or related technical discipline 3-10 years of experience in software development, testing, and support Strongly Preferred Experience developing software using C# Experience developing and executing unit and integration tests Experience working on Agile software development teams Experience preparing software documentation and technical reports Desired Experience with automated software testing frameworks Experience with DevSecOps and CI/CD pipelines Experience with user interface development Experience using Git for source control Specialty Systems, Inc. provides equal employment opportunity (EEO) to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, genetic information, marital status, ancestry, protected veteran status, or any other characteristic protected by applicable federal, state, and local laws and offers equal opportunity for VEVRAA Protected Veterans. Specialty Systems, Inc. will not discriminate against employees and job applicants who inquire about, discuss, or disclose compensation information. Reasonable accommodation that does not cause an undue hardship on the company may be made to enable individuals with disabilities to perform essential functions, as long as that would not hinder or prevent performance of duties or be of a safety concern. PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is required to reach with hands and arms. The employee is frequently required to sit, stand and walk. The employee may be required to move ten pounds and could occasionally lift or move up to twenty-five pounds. Disclaimer: The listed duties are not intended to serve as a comprehensive list of all duties performed by all employees in this classification, only a representative summary of primary duties and responsibilities. Compensation details: 00 Yearly Salary PIf5cc9f1594f5-2211
Job Description Job Description This is a 10 week internship available all seasons of the year. What you'll do: Contribute to the research, design, and implementation of predictive statistical and machine learning models across prediction markets and exchange venues Prototype and backtest models, monitor performance, and assist with optimizations. Contribute to key feature development for model efficiency Develop and maintain Python codebases in a Linux environment. Help to design and implement new pricing models and frameworks Support data pipeline and SQL database interactions for real-time models. Assist in improving trading systems and operational tools. Gain exposure to multiple sports, quantitative disciplines, and production engineering. Other duties as assigned. Skills you'll need: Proficiency in Python (experience in R or other languages a plus). Strong interest in statistical modeling, machine learning, or predictive analytics. Familiarity with Linux and SQL databases. Ability to work in a fast-paced environment and manage multiple tasks. Interest in sports and sports analytics / sabermetrics. Strong problem-solving and communication skills. Predictable and reliable availability It's great to see: Coursework in statistics, optimization, computer science, or related fields. Prior internship or project experience in trading, quantitative research, or software engineering. Exposure to object-oriented development, real-time systems, or algorithmic trading models. Experience with sports gambling, fantasy sports, or predictive analytics applied to sports.
08/05/2026
Full time
Job Description Job Description This is a 10 week internship available all seasons of the year. What you'll do: Contribute to the research, design, and implementation of predictive statistical and machine learning models across prediction markets and exchange venues Prototype and backtest models, monitor performance, and assist with optimizations. Contribute to key feature development for model efficiency Develop and maintain Python codebases in a Linux environment. Help to design and implement new pricing models and frameworks Support data pipeline and SQL database interactions for real-time models. Assist in improving trading systems and operational tools. Gain exposure to multiple sports, quantitative disciplines, and production engineering. Other duties as assigned. Skills you'll need: Proficiency in Python (experience in R or other languages a plus). Strong interest in statistical modeling, machine learning, or predictive analytics. Familiarity with Linux and SQL databases. Ability to work in a fast-paced environment and manage multiple tasks. Interest in sports and sports analytics / sabermetrics. Strong problem-solving and communication skills. Predictable and reliable availability It's great to see: Coursework in statistics, optimization, computer science, or related fields. Prior internship or project experience in trading, quantitative research, or software engineering. Exposure to object-oriented development, real-time systems, or algorithmic trading models. Experience with sports gambling, fantasy sports, or predictive analytics applied to sports.
Job Description Job Description Position Overview We are seeking an experienced developer with a strong understanding of options theory and derivatives pricing who can translate quantitative research into production trading systems. The ideal candidate understands both the underlying theory and the engineering required to build reliable, low-latency software. Working closely with traders and quantitative researchers, the candidate will transform theoretical pricing models into practical, production-ready implementations, making sound engineering decisions where theory and real-world constraints diverge. This role provides significant ownership over the architecture, design, and implementation of the firm's core pricing technology. Key Responsibilities Design and implement real-time theoretical pricing models for options Design and implement numerical methods that balance theoretical accuracy with production performance Improve pricing accuracy, computational efficiency, and performance under high-throughput market conditions Work with traders and quantitative researchers to implement and refine theoretical pricing models Participate in architecture design decisions related to scalability, latency, resiliency, and data integrity Collaborate with engineering and trading teams to define technical requirements and deliver production-quality software Required Qualifications Strong understanding of options pricing theory and derivatives markets Experience implementing quantitative pricing models in production software Strong background in numerical methods, optimization, and computational mathematics Extensive experience developing production trading systems in C++ Experience working with APIs, multithreaded systems, and low-latency applications Strong analytical and problem-solving skills with the ability to understand complex software systems and quantitative models Ability to work independently in a fast-moving development environment Ability to balance quantitative rigor with practical engineering constraints when implementing production trading systems
08/05/2026
Full time
Job Description Job Description Position Overview We are seeking an experienced developer with a strong understanding of options theory and derivatives pricing who can translate quantitative research into production trading systems. The ideal candidate understands both the underlying theory and the engineering required to build reliable, low-latency software. Working closely with traders and quantitative researchers, the candidate will transform theoretical pricing models into practical, production-ready implementations, making sound engineering decisions where theory and real-world constraints diverge. This role provides significant ownership over the architecture, design, and implementation of the firm's core pricing technology. Key Responsibilities Design and implement real-time theoretical pricing models for options Design and implement numerical methods that balance theoretical accuracy with production performance Improve pricing accuracy, computational efficiency, and performance under high-throughput market conditions Work with traders and quantitative researchers to implement and refine theoretical pricing models Participate in architecture design decisions related to scalability, latency, resiliency, and data integrity Collaborate with engineering and trading teams to define technical requirements and deliver production-quality software Required Qualifications Strong understanding of options pricing theory and derivatives markets Experience implementing quantitative pricing models in production software Strong background in numerical methods, optimization, and computational mathematics Extensive experience developing production trading systems in C++ Experience working with APIs, multithreaded systems, and low-latency applications Strong analytical and problem-solving skills with the ability to understand complex software systems and quantitative models Ability to work independently in a fast-moving development environment Ability to balance quantitative rigor with practical engineering constraints when implementing production trading systems
Job Description Job Description What you'll do: Contribute to the research, design, and implementation of predictive statistical and machine learning models across prediction markets and exchange venues Prototype and backtest models, monitor performance, and assist with optimizations. Contribute to key feature development for model efficiency Develop and maintain Python codebases in a Linux environment. Help to design and implement new pricing models and frameworks Support data pipeline and SQL database interactions for real-time models. Assist in improving trading systems and operational tools. Gain exposure to multiple sports, quantitative disciplines, and production engineering. Other duties as assigned. Skills you'll need: Proficiency in Python (experience in R or other languages a plus). Strong interest in statistical modeling, machine learning, or predictive analytics. Familiarity with Linux and SQL databases. Ability to work in a fast-paced environment and manage multiple tasks. Interest in sports and sports analytics / sabermetrics. Strong problem-solving and communication skills. Predictable and reliable availability It's great to see: Coursework in statistics, optimization, computer science, or related fields. Prior internship or project experience in trading, quantitative research, or software engineering. Exposure to object-oriented development, real-time systems, or algorithmic trading models. Experience with sports gambling, fantasy sports, or predictive analytics applied to sports.
08/05/2026
Full time
Job Description Job Description What you'll do: Contribute to the research, design, and implementation of predictive statistical and machine learning models across prediction markets and exchange venues Prototype and backtest models, monitor performance, and assist with optimizations. Contribute to key feature development for model efficiency Develop and maintain Python codebases in a Linux environment. Help to design and implement new pricing models and frameworks Support data pipeline and SQL database interactions for real-time models. Assist in improving trading systems and operational tools. Gain exposure to multiple sports, quantitative disciplines, and production engineering. Other duties as assigned. Skills you'll need: Proficiency in Python (experience in R or other languages a plus). Strong interest in statistical modeling, machine learning, or predictive analytics. Familiarity with Linux and SQL databases. Ability to work in a fast-paced environment and manage multiple tasks. Interest in sports and sports analytics / sabermetrics. Strong problem-solving and communication skills. Predictable and reliable availability It's great to see: Coursework in statistics, optimization, computer science, or related fields. Prior internship or project experience in trading, quantitative research, or software engineering. Exposure to object-oriented development, real-time systems, or algorithmic trading models. Experience with sports gambling, fantasy sports, or predictive analytics applied to sports.
Job Description Job Description Samsung SDS America AI Team is researching the next generation of intelligent robotic systems that operate in the real world. Working with multiple robot hardware partners, we use their platforms to develop complete embodied AI systems, spanning data collection through teleoperation, policy training, and deployment on physical robots in real-world environments. We are looking for a Senior Physical AI Engineer to join the team developing this end-to-end pipeline. You will work hands-on with humanoid robots, collecting demonstration data through teleoperation, training learning-based policies, deploying them on the physical platform, and iterating through live test runs in real environments, not just simulation. You will also research dexterous manipulation, advancing the hand and grasping capabilities that enable robots to handle complex tasks. This role sits at the intersection of robotics, embodied AI, machine learning, and production software engineering. You will connect high-level AI models to physical robot behavior, enabling robots to perceive, learn, adapt, and act safely in dynamic environments. What sets our lab apart is the shared ownership and the path to impact. You will work alongside a small team that takes real ownership of what we develop here, helping shape research directions, building systems directly, and seeing your work move quickly from ideas to robot experiments on real hardware. Samsung SDS builds and operates systems that support manufacturing at scale across thousands of factory lines worldwide. The Physical AI capabilities we research here are aimed at that production environment, with a path that extends from a single robot today toward coordinated multi-robot systems on the factory floor. This is a hands-on research and engineering role spanning teleoperation, policy training, real-world deployment, low-latency control systems, simulation, and scalable AI training pipelines. If you enjoy working with robots that move, learn, and interact with the physical world, this role is for you. Responsibilities Design and develop intelligent robotic systems powered by modern AI and machine learning techniques Build scalable training pipelines for embodied AI and robot learning applications Develop production-grade robotics software in Python and related frameworks Train and deploy learning-based robotic policies using reinforcement learning and imitation learning approaches Integrate AI models with physical robot actuators, camera systems, and sensor pipelines Implement robotics control algorithms, kinematics, dynamics, and sensor fusion systems Work with simulation and synthetic data generation environments including Isaac Sim, MuJoCo, Sapien, or similar platforms Optimize low-latency inference and control systems for real-world robotic deployment Collaborate across robotics, AI, systems, and hardware teams to bring intelligent robotic platforms into production Contribute to the architecture of next-generation embodied AI systems Requirements 5+ years of industry experience in robotics, embodied AI, physical AI, or autonomous systems Bachelor's degree in Computer Science, Artificial Intelligence or relevant field Strong Python programming skills with experience building scalable production systems Hands-on experience building, training, and deploying machine learning systems for robotics applications Deep familiarity with reinforcement learning, imitation learning, and modern ML frameworks such as PyTorch Strong understanding of robotics fundamentals, including: - robot control systems - kinematics and dynamics - perception and sensor fusion - camera and tactile sensor integration Experience with robotics middleware such as ROS or ROS2 Experience working with simulation environments such as NVIDIA Isaac Sim, MuJoCo, Sapien, or equivalent platforms Strong debugging and systems engineering skills across software and hardware boundaries Experience deploying robotics systems into real-world physical environments Preferred Qualifications Experience with humanoid robotics or manipulation systems Background in autonomous systems or embodied foundation models Experience with GPU acceleration and distributed training systems Familiarity with synthetic data generation and sim-to-real transfer techniques Experience optimizing robotics systems for edge or embedded deployment Benefits Why Join US Get hands-on with a real humanoid robot. Train it, test it, and iterate on real hardware, not just in simulation. Research dexterous manipulation, pushing the frontier of robotic hands and grasping for complex real-world tasks. Build Physical AI that deploys at scale, into real manufacturing environments running across many thousands of factory lines worldwide. Work on frontier Physical AI and robotics technologies that bridge advanced AI with real-world robotic behavior. Collaborate with a highly technical, fast-moving research/engineering team. Help shape a new robotics effort from its earliest stage. Samsung SDSA offers a competitive salary, and a comprehensive suite of programs to support our employees: Top-notch medical, dental, vision and prescription fully covered for You and Your family Wellness program Parental leave 401K match and savings plan Flexible spending accounts Life insurance Paid Holidays Paid Time off Additional perks The base salary range for this Mountain View, CA role is $200,000 to $270,000. Individual pay is determined by multiple factors, including job-related skills, experience, relevant training, and specific geographic location. Your recruiter can share more about the total compensation package-which may include performance bonuses, and comprehensive benefits-during the hiring process. Samsung SDS America, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, status as a protected veteran, marital status, genetic information, medical condition, or any other characteristic protected by law. We are committed to providing reasonable accommodations to participate in the job application or interview process for candidates with disabilities. If you need assistance and/or a reasonable accommodation, please send your request the recruiter.
08/05/2026
Full time
Job Description Job Description Samsung SDS America AI Team is researching the next generation of intelligent robotic systems that operate in the real world. Working with multiple robot hardware partners, we use their platforms to develop complete embodied AI systems, spanning data collection through teleoperation, policy training, and deployment on physical robots in real-world environments. We are looking for a Senior Physical AI Engineer to join the team developing this end-to-end pipeline. You will work hands-on with humanoid robots, collecting demonstration data through teleoperation, training learning-based policies, deploying them on the physical platform, and iterating through live test runs in real environments, not just simulation. You will also research dexterous manipulation, advancing the hand and grasping capabilities that enable robots to handle complex tasks. This role sits at the intersection of robotics, embodied AI, machine learning, and production software engineering. You will connect high-level AI models to physical robot behavior, enabling robots to perceive, learn, adapt, and act safely in dynamic environments. What sets our lab apart is the shared ownership and the path to impact. You will work alongside a small team that takes real ownership of what we develop here, helping shape research directions, building systems directly, and seeing your work move quickly from ideas to robot experiments on real hardware. Samsung SDS builds and operates systems that support manufacturing at scale across thousands of factory lines worldwide. The Physical AI capabilities we research here are aimed at that production environment, with a path that extends from a single robot today toward coordinated multi-robot systems on the factory floor. This is a hands-on research and engineering role spanning teleoperation, policy training, real-world deployment, low-latency control systems, simulation, and scalable AI training pipelines. If you enjoy working with robots that move, learn, and interact with the physical world, this role is for you. Responsibilities Design and develop intelligent robotic systems powered by modern AI and machine learning techniques Build scalable training pipelines for embodied AI and robot learning applications Develop production-grade robotics software in Python and related frameworks Train and deploy learning-based robotic policies using reinforcement learning and imitation learning approaches Integrate AI models with physical robot actuators, camera systems, and sensor pipelines Implement robotics control algorithms, kinematics, dynamics, and sensor fusion systems Work with simulation and synthetic data generation environments including Isaac Sim, MuJoCo, Sapien, or similar platforms Optimize low-latency inference and control systems for real-world robotic deployment Collaborate across robotics, AI, systems, and hardware teams to bring intelligent robotic platforms into production Contribute to the architecture of next-generation embodied AI systems Requirements 5+ years of industry experience in robotics, embodied AI, physical AI, or autonomous systems Bachelor's degree in Computer Science, Artificial Intelligence or relevant field Strong Python programming skills with experience building scalable production systems Hands-on experience building, training, and deploying machine learning systems for robotics applications Deep familiarity with reinforcement learning, imitation learning, and modern ML frameworks such as PyTorch Strong understanding of robotics fundamentals, including: - robot control systems - kinematics and dynamics - perception and sensor fusion - camera and tactile sensor integration Experience with robotics middleware such as ROS or ROS2 Experience working with simulation environments such as NVIDIA Isaac Sim, MuJoCo, Sapien, or equivalent platforms Strong debugging and systems engineering skills across software and hardware boundaries Experience deploying robotics systems into real-world physical environments Preferred Qualifications Experience with humanoid robotics or manipulation systems Background in autonomous systems or embodied foundation models Experience with GPU acceleration and distributed training systems Familiarity with synthetic data generation and sim-to-real transfer techniques Experience optimizing robotics systems for edge or embedded deployment Benefits Why Join US Get hands-on with a real humanoid robot. Train it, test it, and iterate on real hardware, not just in simulation. Research dexterous manipulation, pushing the frontier of robotic hands and grasping for complex real-world tasks. Build Physical AI that deploys at scale, into real manufacturing environments running across many thousands of factory lines worldwide. Work on frontier Physical AI and robotics technologies that bridge advanced AI with real-world robotic behavior. Collaborate with a highly technical, fast-moving research/engineering team. Help shape a new robotics effort from its earliest stage. Samsung SDSA offers a competitive salary, and a comprehensive suite of programs to support our employees: Top-notch medical, dental, vision and prescription fully covered for You and Your family Wellness program Parental leave 401K match and savings plan Flexible spending accounts Life insurance Paid Holidays Paid Time off Additional perks The base salary range for this Mountain View, CA role is $200,000 to $270,000. Individual pay is determined by multiple factors, including job-related skills, experience, relevant training, and specific geographic location. Your recruiter can share more about the total compensation package-which may include performance bonuses, and comprehensive benefits-during the hiring process. Samsung SDS America, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, status as a protected veteran, marital status, genetic information, medical condition, or any other characteristic protected by law. We are committed to providing reasonable accommodations to participate in the job application or interview process for candidates with disabilities. If you need assistance and/or a reasonable accommodation, please send your request the recruiter.
Job Description Job Description We are looking for a senior ML infrastructure engineer to build and evolve the systems that support model training, deployment, and production usage. This role sits at the intersection of software engineering, infrastructure, ML workflows, and developer experience. The work focuses on production-quality ML systems: reliability, scalability, observability, and usability for the team. You will work on training infrastructure, deployment workflows, model serving, platform tooling, automation, and production reliability. Training deployment is a core focus, and experience with inference deployment is a strong plus. We care about engineering judgment, technical depth, communication, and the ability to turn messy ML workflows into stable platform capabilities. What You Will Own Design, build, and evolve infrastructure for ML training workflows, training deployment, experiment execution, and production handoff. Build and maintain deployment paths for models, jobs, services, and supporting infrastructure across development and production environments. Improve reliability, scalability, observability, and developer experience for ML workflows and platform tools. Define interfaces, automation, metadata, artifacts, configuration, environment management, and lifecycle boundaries for ML systems. Collaborate with research, product, data, and engineering partners to translate incomplete ML workflow needs into maintainable systems. Support production usage by building clear operational tooling, debugging paths, and safe rollout mechanisms. What We Look For Strong software engineering and infrastructure fundamentals, with experience owning production or near-production systems. Practical experience with PyTorch and ML training workflows, including job orchestration, compute environments, artifact management, and deployment automation. Solid understanding of heterogeneous computing and high-performance computing, especially for ML training or serving workloads. Good understanding of model lifecycle concerns: data, configs, checkpoints, artifacts, reproducibility, rollout, rollback, and observability. Ability to build reliable platform abstractions without hiding the important details ML practitioners need to control. Clear technical and product sense: you can prioritize platform work that unlocks real training or deployment velocity. High standards for engineering quality, including tests, documentation, debugging tools, and maintainable system design. Tech Stack You May Work With Python PyTorch Heterogeneous computing and high-performance computing ML training pipelines, job orchestration, compute scheduling, containers, and deployment automation Model artifacts, metadata, storage, experiment tracking, and configuration systems Model serving, inference deployment, APIs, queues, and observability tools Docker, CI/CD, cloud infrastructure, GPUs, and internal platform tooling Bonus Points Experience building training deployment systems, model release workflows, or ML platform tooling for research and production teams. Experience with inference deployment, model serving, online/offline evaluation, performance tuning, or rollout safety. Experience with distributed training, GPU infrastructure, workload scheduling, artifact/version management, or reproducibility tooling. Understanding of CUDA, GPU architecture, or low-level performance optimization. Experience with open-source inference and serving frameworks such as vLLM, TensorRT, Triton, or similar systems. Experience migrating ad hoc notebooks, scripts, or manual ML processes into reliable platform workflows. This Role May Not Be a Fit If You mainly want to train models personally and do not enjoy building infrastructure for others to use. You are comfortable with manual ML workflows and do not care about reproducibility, deployment, or operational quality. You prefer narrow implementation tasks and do not want to reason about system boundaries, platform UX, or long-term maintenance. You over-abstract ML workflows without understanding where researchers and engineers need control and visibility. Why This Role Matters ML teams move faster when training, deployment, and production usage are supported by reliable infrastructure instead of scattered scripts and manual processes. This role will directly shape how models move from experimentation to production, how safely they are deployed, and how efficiently the team can iterate. For the right person, it is a high-ownership platform role with deep impact on both engineering quality and ML velocity. What We Would Like to See When You Apply ML infrastructure, training platforms, deployment systems, or model serving systems you have owned. Examples of how you improved training reliability, deployment velocity, reproducibility, observability, or operational safety. Cases where you turned messy ML workflows into maintainable tools, services, or platform abstractions. Examples that show your technical judgment, communication, and ability to work across research and engineering needs.
08/05/2026
Full time
Job Description Job Description We are looking for a senior ML infrastructure engineer to build and evolve the systems that support model training, deployment, and production usage. This role sits at the intersection of software engineering, infrastructure, ML workflows, and developer experience. The work focuses on production-quality ML systems: reliability, scalability, observability, and usability for the team. You will work on training infrastructure, deployment workflows, model serving, platform tooling, automation, and production reliability. Training deployment is a core focus, and experience with inference deployment is a strong plus. We care about engineering judgment, technical depth, communication, and the ability to turn messy ML workflows into stable platform capabilities. What You Will Own Design, build, and evolve infrastructure for ML training workflows, training deployment, experiment execution, and production handoff. Build and maintain deployment paths for models, jobs, services, and supporting infrastructure across development and production environments. Improve reliability, scalability, observability, and developer experience for ML workflows and platform tools. Define interfaces, automation, metadata, artifacts, configuration, environment management, and lifecycle boundaries for ML systems. Collaborate with research, product, data, and engineering partners to translate incomplete ML workflow needs into maintainable systems. Support production usage by building clear operational tooling, debugging paths, and safe rollout mechanisms. What We Look For Strong software engineering and infrastructure fundamentals, with experience owning production or near-production systems. Practical experience with PyTorch and ML training workflows, including job orchestration, compute environments, artifact management, and deployment automation. Solid understanding of heterogeneous computing and high-performance computing, especially for ML training or serving workloads. Good understanding of model lifecycle concerns: data, configs, checkpoints, artifacts, reproducibility, rollout, rollback, and observability. Ability to build reliable platform abstractions without hiding the important details ML practitioners need to control. Clear technical and product sense: you can prioritize platform work that unlocks real training or deployment velocity. High standards for engineering quality, including tests, documentation, debugging tools, and maintainable system design. Tech Stack You May Work With Python PyTorch Heterogeneous computing and high-performance computing ML training pipelines, job orchestration, compute scheduling, containers, and deployment automation Model artifacts, metadata, storage, experiment tracking, and configuration systems Model serving, inference deployment, APIs, queues, and observability tools Docker, CI/CD, cloud infrastructure, GPUs, and internal platform tooling Bonus Points Experience building training deployment systems, model release workflows, or ML platform tooling for research and production teams. Experience with inference deployment, model serving, online/offline evaluation, performance tuning, or rollout safety. Experience with distributed training, GPU infrastructure, workload scheduling, artifact/version management, or reproducibility tooling. Understanding of CUDA, GPU architecture, or low-level performance optimization. Experience with open-source inference and serving frameworks such as vLLM, TensorRT, Triton, or similar systems. Experience migrating ad hoc notebooks, scripts, or manual ML processes into reliable platform workflows. This Role May Not Be a Fit If You mainly want to train models personally and do not enjoy building infrastructure for others to use. You are comfortable with manual ML workflows and do not care about reproducibility, deployment, or operational quality. You prefer narrow implementation tasks and do not want to reason about system boundaries, platform UX, or long-term maintenance. You over-abstract ML workflows without understanding where researchers and engineers need control and visibility. Why This Role Matters ML teams move faster when training, deployment, and production usage are supported by reliable infrastructure instead of scattered scripts and manual processes. This role will directly shape how models move from experimentation to production, how safely they are deployed, and how efficiently the team can iterate. For the right person, it is a high-ownership platform role with deep impact on both engineering quality and ML velocity. What We Would Like to See When You Apply ML infrastructure, training platforms, deployment systems, or model serving systems you have owned. Examples of how you improved training reliability, deployment velocity, reproducibility, observability, or operational safety. Cases where you turned messy ML workflows into maintainable tools, services, or platform abstractions. Examples that show your technical judgment, communication, and ability to work across research and engineering needs.
Job Description Job Description Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver , our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Our robotics team is growing and we are looking for a Software Engineer to join our Sensor Data and Calibration team. We are searching for an engineer with robotics and machine learning expertise to develop synthetic sensor simulation models and algorithms. The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data (photorealistic images, realistic lidar and/or radar, etc.). About the Work Research, develop, and implement state-of-the-art synthetic sensor simulation methods Analyze and characterize the realism and utility of synthetic sensor data Answer critical questions about sensor data and autonomy performance Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements Role is scoped as a Senior/Staff IC with the flexibility to grow into a Tech Lead/TLM. About You One of PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience Masters and 4+ years of industry experience 5+ years of industry experience Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax Bonus Points Deep understanding of 3D geometry and state estimation fundamentals Proficiency in systems coding Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc), including noise modeling Experience in modern ML graphics techniques, e.g., NeRF, Gaussian Splatting, and/or generative models. Experience in building ML pipelines and optimizing/productizing ML models Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA) At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,930 and $291,150 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.
08/05/2026
Full time
Job Description Job Description Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver , our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Our robotics team is growing and we are looking for a Software Engineer to join our Sensor Data and Calibration team. We are searching for an engineer with robotics and machine learning expertise to develop synthetic sensor simulation models and algorithms. The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data (photorealistic images, realistic lidar and/or radar, etc.). About the Work Research, develop, and implement state-of-the-art synthetic sensor simulation methods Analyze and characterize the realism and utility of synthetic sensor data Answer critical questions about sensor data and autonomy performance Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements Role is scoped as a Senior/Staff IC with the flexibility to grow into a Tech Lead/TLM. About You One of PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience Masters and 4+ years of industry experience 5+ years of industry experience Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax Bonus Points Deep understanding of 3D geometry and state estimation fundamentals Proficiency in systems coding Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc), including noise modeling Experience in modern ML graphics techniques, e.g., NeRF, Gaussian Splatting, and/or generative models. Experience in building ML pipelines and optimizing/productizing ML models Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA) At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,930 and $291,150 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.
Job Description Job Description About Zoox Zoox is an autonomous ride-hailing company building the world's first purpose-built robotaxi - fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Part-Time Student Worker Program Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Responsibilities Execute and coordinate validation cycles for Zoox's Manufacturing test infrastructure with a focus on driving test infra stability Act as on-call support for the factory, representing the HWSI-FW team as you document, triage, characterize and report stability issues in order to unblock factory operations Program Requirements Currently enrolled in a B.S. or M.S. in Automotive Engineering, Robotics, Systems Engineering, Mechatronics, or a relevant technical field Available to commit to a minimum three-month assignment Able to commit to a minimum of 20 hours per week Able to work on-site at one of our office locations Must adhere with Zoox confidentiality requirements, including refraining from using or sharing proprietary company information outside of Zoox, such as in academic research, theses, publications, or presentations Qualifications Ability to understand and navigate complex technical systems Ability to grapple with ambiguity and collaborate with cross-functional teams Experience with Linux, Git, and Jira Bonus Qualifications Experience with autonomous vehicles, robotics, or other safety-critical systems Experience with simulation environments and hardware-in-the-loop (HIL) testing We want to be transparent: this is not an internship. The Part-Time Student Worker Program is designed to complement your academic experience by providing meaningful, ongoing work alongside your studies. Rather than participating in a cohort-based program, you'll join a team directly and contribute to real projects with real impact. While the program does not include structured intern programming or a pathway to full-time employment, it offers valuable opportunities to learn, develop new skills, and gain hands-on experience in a professional environment. Compensation for this role is $30/hour. This is a contract position; employment will be through a vendor contracted with Zoox. The hourly rate is as posted, and benefits eligibility is determined by the vendor. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. 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.
08/05/2026
Full time
Job Description Job Description About Zoox Zoox is an autonomous ride-hailing company building the world's first purpose-built robotaxi - fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Part-Time Student Worker Program Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Responsibilities Execute and coordinate validation cycles for Zoox's Manufacturing test infrastructure with a focus on driving test infra stability Act as on-call support for the factory, representing the HWSI-FW team as you document, triage, characterize and report stability issues in order to unblock factory operations Program Requirements Currently enrolled in a B.S. or M.S. in Automotive Engineering, Robotics, Systems Engineering, Mechatronics, or a relevant technical field Available to commit to a minimum three-month assignment Able to commit to a minimum of 20 hours per week Able to work on-site at one of our office locations Must adhere with Zoox confidentiality requirements, including refraining from using or sharing proprietary company information outside of Zoox, such as in academic research, theses, publications, or presentations Qualifications Ability to understand and navigate complex technical systems Ability to grapple with ambiguity and collaborate with cross-functional teams Experience with Linux, Git, and Jira Bonus Qualifications Experience with autonomous vehicles, robotics, or other safety-critical systems Experience with simulation environments and hardware-in-the-loop (HIL) testing We want to be transparent: this is not an internship. The Part-Time Student Worker Program is designed to complement your academic experience by providing meaningful, ongoing work alongside your studies. Rather than participating in a cohort-based program, you'll join a team directly and contribute to real projects with real impact. While the program does not include structured intern programming or a pathway to full-time employment, it offers valuable opportunities to learn, develop new skills, and gain hands-on experience in a professional environment. Compensation for this role is $30/hour. This is a contract position; employment will be through a vendor contracted with Zoox. The hourly rate is as posted, and benefits eligibility is determined by the vendor. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. 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.
Job Description Job Description About the Role Teserac is building neuron , a unified AI-native platform for data center observability, intelligence, and workflow automation. neuron processes real-time telemetry from thousands of sensors, meters, and control systems across heterogeneous environments - giving infrastructure owners the visibility to monitor, analyze, automate, and proactively manage power operations with full situational awareness. An embedded AI teammate serves as every operator's always-on co-pilot: detecting anomalies, correlating events, and surfacing recommendations 24/7. We are seeking an AI/ML Engineer who is excited to build intelligent systems at the intersection of applied AI and critical infrastructure. You will work across the full AI development lifecycle - from data pipelines and model integration to agentic orchestration, evaluation, and production support - collaborating closely with a small, fast-moving engineering team. This is not a research-only role, but research thinking matters here. You will be expected to read papers, stay ahead of the field, and bring ideas to the table - then build them into production systems. Who We Are Looking For We care more about how you think than how many years are on your resume. This role is open to both junior and senior candidates. What matters is: You are genuinely excited about AI and infrastructure - not just one of them You learn fast, go deep, and can hold your own in a technical debate You have the engineering fundamentals to ship reliable systems You are proactive, curious, and comfortable with a steep learning curve You want to work on something technically hard that actually matters in the physical world If you are early in your career but have strong fundamentals, a track record of self-directed learning, and a portfolio that shows you build things - we want to hear from you. What You Will Work On Multi-agent orchestration and LLM-driven triage workflows Time-series modeling for anomaly detection, failure prediction, and health forecasting on multivariate telemetry Retrieval-augmented knowledge systems for operations teams Data and ML pipelines - ingestion, ETL, and dataset construction Fine-tuning and post-training of language models for operational use cases AI observability, evaluation frameworks, and production performance benchmarking Responsibilities Design, develop, and maintain AI-powered applications and automation workflows Integrate and optimize LLM APIs for production use cases Build and refine retrieval and knowledge-augmentation pipelines Develop evaluation frameworks to benchmark AI system performance Implement monitoring, tracing, and debugging capabilities for AI systems Read and synthesize relevant research; bring ideas forward and debate them with the team Contribute to AI architecture decisions and production hardening Stay current with the rapidly evolving AI/ML landscape Requirements Required Degree in Computer Science, Machine Learning, Mathematics, or a related field - or equivalent demonstrated experience Strong proficiency in Python Solid software engineering fundamentals: testing, version control, CI/CD Experience working with LLM APIs in applied contexts Familiarity with agentic system concepts - tool/function-calling, agent frameworks Daily use of AI-assisted coding tools (Cursor, Copilot, Claude Code, etc.) Ability to read ML research papers and translate ideas into practical experiments Strong analytical thinking and clear communication - you can argue a position and update it when wrong Preferred Professional AI/ML engineering experience (any level) Experience building agentic systems using frameworks such as LangGraph or LangChain; MCP a plus Time-series modeling - forecasting and anomaly/failure prediction on multivariate data Experience fine-tuning or post-training language models PyTorch and/or model serving frameworks (e.g., vLLM) Experience building data and ML pipelines - ingestion, ETL, dataset construction Familiarity with cloud ML platforms, particularly GCP (Vertex AI) LLM evaluation and benchmarking: harness design and eval loop development Domain experience with data center or industrial telemetry, BMS/OT protocols (Niagara, BACnet/Modbus) Background in DevOps, distributed systems, or observability tooling Benefits Health Care Plan (Medical, Dental & Vision) Paid Time Off (Vacation, Sick & Public Holidays) Free Food & Snacks Stock Option Plan 401(k)
08/05/2026
Full time
Job Description Job Description About the Role Teserac is building neuron , a unified AI-native platform for data center observability, intelligence, and workflow automation. neuron processes real-time telemetry from thousands of sensors, meters, and control systems across heterogeneous environments - giving infrastructure owners the visibility to monitor, analyze, automate, and proactively manage power operations with full situational awareness. An embedded AI teammate serves as every operator's always-on co-pilot: detecting anomalies, correlating events, and surfacing recommendations 24/7. We are seeking an AI/ML Engineer who is excited to build intelligent systems at the intersection of applied AI and critical infrastructure. You will work across the full AI development lifecycle - from data pipelines and model integration to agentic orchestration, evaluation, and production support - collaborating closely with a small, fast-moving engineering team. This is not a research-only role, but research thinking matters here. You will be expected to read papers, stay ahead of the field, and bring ideas to the table - then build them into production systems. Who We Are Looking For We care more about how you think than how many years are on your resume. This role is open to both junior and senior candidates. What matters is: You are genuinely excited about AI and infrastructure - not just one of them You learn fast, go deep, and can hold your own in a technical debate You have the engineering fundamentals to ship reliable systems You are proactive, curious, and comfortable with a steep learning curve You want to work on something technically hard that actually matters in the physical world If you are early in your career but have strong fundamentals, a track record of self-directed learning, and a portfolio that shows you build things - we want to hear from you. What You Will Work On Multi-agent orchestration and LLM-driven triage workflows Time-series modeling for anomaly detection, failure prediction, and health forecasting on multivariate telemetry Retrieval-augmented knowledge systems for operations teams Data and ML pipelines - ingestion, ETL, and dataset construction Fine-tuning and post-training of language models for operational use cases AI observability, evaluation frameworks, and production performance benchmarking Responsibilities Design, develop, and maintain AI-powered applications and automation workflows Integrate and optimize LLM APIs for production use cases Build and refine retrieval and knowledge-augmentation pipelines Develop evaluation frameworks to benchmark AI system performance Implement monitoring, tracing, and debugging capabilities for AI systems Read and synthesize relevant research; bring ideas forward and debate them with the team Contribute to AI architecture decisions and production hardening Stay current with the rapidly evolving AI/ML landscape Requirements Required Degree in Computer Science, Machine Learning, Mathematics, or a related field - or equivalent demonstrated experience Strong proficiency in Python Solid software engineering fundamentals: testing, version control, CI/CD Experience working with LLM APIs in applied contexts Familiarity with agentic system concepts - tool/function-calling, agent frameworks Daily use of AI-assisted coding tools (Cursor, Copilot, Claude Code, etc.) Ability to read ML research papers and translate ideas into practical experiments Strong analytical thinking and clear communication - you can argue a position and update it when wrong Preferred Professional AI/ML engineering experience (any level) Experience building agentic systems using frameworks such as LangGraph or LangChain; MCP a plus Time-series modeling - forecasting and anomaly/failure prediction on multivariate data Experience fine-tuning or post-training language models PyTorch and/or model serving frameworks (e.g., vLLM) Experience building data and ML pipelines - ingestion, ETL, dataset construction Familiarity with cloud ML platforms, particularly GCP (Vertex AI) LLM evaluation and benchmarking: harness design and eval loop development Domain experience with data center or industrial telemetry, BMS/OT protocols (Niagara, BACnet/Modbus) Background in DevOps, distributed systems, or observability tooling Benefits Health Care Plan (Medical, Dental & Vision) Paid Time Off (Vacation, Sick & Public Holidays) Free Food & Snacks Stock Option Plan 401(k)
Job Description Job Description At Ouster, we build sensors and tools for engineers, roboticists, and researchers, so they can make the world safer and more efficient. We've transformed LIDAR from an analog device with thousands of components to an elegant digital device powered by one chip-scale laser array and one CMOS sensor. The result is a full range of high-resolution LIDAR sensors that deliver superior imaging at a dramatically lower price. Our advanced sensor hardware and vision algorithms are used in autonomous cars, robotics, industrial, and smart infrastructure applications (among many others). If you're motivated by solving big problems, we're hiring key roles across the company and need your help! We are looking for a highly technical Machine Learning Engineer to lead our efforts in Object Detection and Tracking. You will not simply be "importing" pre-made models; you will be architecting deep neural networks, translating state-of-the-art research papers into code, and optimizing these systems for real-time, on-device performance. This role requires a deep knowledge of neural network architectures. You should be confident ripping apart a model to modify layers, loss functions, and data flows to fit our specific constraints. Key Responsibilities Architect Unified Models: Design and train DNN models that perform Object Detection and Tracking simultaneously, leveraging temporal information to improve consistency. Research to Production: Evaluate state-of-the-art research papers and prototype these concepts (turning papers into code) and adapt them into robust, production-grade solutions. Deep Model Customization: Go beyond standard libraries by implementing custom loss functions, modifying internal model architectures, and designing specific data augmentation strategies to squeeze out maximum performance. Edge Optimization: Ensure high accuracy is matched by high efficiency. Optimize models for real-time inference and on-device deployment. Data Strategy: Develop training recipes for data-constrained environments and effective post-training strategies. Required Qualifications Core Stack: 5+ years proficiency in Python and PyTorch. 3+ years proficiency in C++ for production deployment and optimization. Detection & Tracking: Deep theoretical and practical understanding of modern object detectors (e.g., Transformers, YOLO variants, R-CNNs) and tracking algorithms (e.g., DeepSORT, Kalman Filters, Optical Flow). Architecture Internals: Proven experience not being dependent on "out-of-the-box" APIs. You have a track record of modifying model architectures via extensive experimentation to meet specific requirements. Low-Data Regimes: Experience improving model generalization with limited data using Transfer Learning, Domain Adaptation, or Few-Shot Learning. Mathematical Foundation: Strong grasp of linear algebra and probability as it applies to custom loss function design and geometric 3D vision. Preferred Qualifications 3D / LiDAR Experience: Hands-on experience with 3D Point Cloud data (LiDAR) is a massive plus. Deployment Tools: Experience with TensorRT, ONNX Runtime, or edge-specific hardware (NVIDIA Jetson, etc.). The base pay will be dependent on your skills, work experience, location, and qualifications. This role may also be eligible for equity & benefits. ($180,000-220,000) We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role. Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know. Powered by JazzHR POaf4TokKv
08/05/2026
Full time
Job Description Job Description At Ouster, we build sensors and tools for engineers, roboticists, and researchers, so they can make the world safer and more efficient. We've transformed LIDAR from an analog device with thousands of components to an elegant digital device powered by one chip-scale laser array and one CMOS sensor. The result is a full range of high-resolution LIDAR sensors that deliver superior imaging at a dramatically lower price. Our advanced sensor hardware and vision algorithms are used in autonomous cars, robotics, industrial, and smart infrastructure applications (among many others). If you're motivated by solving big problems, we're hiring key roles across the company and need your help! We are looking for a highly technical Machine Learning Engineer to lead our efforts in Object Detection and Tracking. You will not simply be "importing" pre-made models; you will be architecting deep neural networks, translating state-of-the-art research papers into code, and optimizing these systems for real-time, on-device performance. This role requires a deep knowledge of neural network architectures. You should be confident ripping apart a model to modify layers, loss functions, and data flows to fit our specific constraints. Key Responsibilities Architect Unified Models: Design and train DNN models that perform Object Detection and Tracking simultaneously, leveraging temporal information to improve consistency. Research to Production: Evaluate state-of-the-art research papers and prototype these concepts (turning papers into code) and adapt them into robust, production-grade solutions. Deep Model Customization: Go beyond standard libraries by implementing custom loss functions, modifying internal model architectures, and designing specific data augmentation strategies to squeeze out maximum performance. Edge Optimization: Ensure high accuracy is matched by high efficiency. Optimize models for real-time inference and on-device deployment. Data Strategy: Develop training recipes for data-constrained environments and effective post-training strategies. Required Qualifications Core Stack: 5+ years proficiency in Python and PyTorch. 3+ years proficiency in C++ for production deployment and optimization. Detection & Tracking: Deep theoretical and practical understanding of modern object detectors (e.g., Transformers, YOLO variants, R-CNNs) and tracking algorithms (e.g., DeepSORT, Kalman Filters, Optical Flow). Architecture Internals: Proven experience not being dependent on "out-of-the-box" APIs. You have a track record of modifying model architectures via extensive experimentation to meet specific requirements. Low-Data Regimes: Experience improving model generalization with limited data using Transfer Learning, Domain Adaptation, or Few-Shot Learning. Mathematical Foundation: Strong grasp of linear algebra and probability as it applies to custom loss function design and geometric 3D vision. Preferred Qualifications 3D / LiDAR Experience: Hands-on experience with 3D Point Cloud data (LiDAR) is a massive plus. Deployment Tools: Experience with TensorRT, ONNX Runtime, or edge-specific hardware (NVIDIA Jetson, etc.). The base pay will be dependent on your skills, work experience, location, and qualifications. This role may also be eligible for equity & benefits. ($180,000-220,000) We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role. Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know. Powered by JazzHR POaf4TokKv
