RELOCATION ASSISTANCE: No relocation assistance availableCLEARANCE REQUIRED FOR START: YesCLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and secure technological solutions to enable strategic objectives. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we will support yours of expanding your personal network and developing skills, whether you are new to the field or an industry thought leader. At Northrop Grumman, you will have the resources, support, and team to do some of the best work of your career. Northrop Grumman's Chief Information and Digital Office (CIDO) is seeking an innovative and dynamic IT Program Manager. This leader will support the Tactical Fighters (TF) business unit in the Mission Systems Airborne Multifunction Sensors Division and is based in our Linthicum, MD location. Reporting to the MS CIDO Lead for TF, you will lead cross-functional support teams in a matrixed organizational structure. The candidate selected for this position will be required to work on-site, full-time at our Linthicum, MD campus - this is not a remote work opportunity. The ideal candidate will bring a diverse perspective to the team, enhancing the overall organizational experience with proven cross-functional leadership and team-building skills. In this role, you will be an essential member of the CIDO team, acting as a crucial liaison between CIDO and NGMS. Responsibilities will include but not be limited to the following: Ensure the timely and cost-effective delivery of IT and Cybersecurity services, with an emphasis on alignment with enterprise strategy and technology roadmaps. Ensure operations adhere to sound technical processes in IT/Cybersecurity and are in line with company policies, procedures, and quality standards Manage daily activities and priorities, while leading the design, development, integration, and testing of digital solutions. Oversee the technical quality, performance, budget, and schedule for IT/Cybersecurity aspects related to TF-+ programs. Drive the implementation and adoption of standardized, digital solutions, while actively seeking to identify and retire technical debt. Basic Qualifications: Associate's degree with 10 years of relevant experience, or a Bachelor's degree with 8 years of relevant experience, or a Master's degree with 6 years of relevant experience, or a PhD with 4 years of relevant experience; a High School diploma or equivalent with 12 years of relevant experience may be considered in lieu of a completed degree. Applicants must have an active DoD Secret level security clearance (at a minimum), to include a closed investigation date completed within the last 6 years, or must be enrolled in the DoD Continuous Evaluation Program (CEP) in order to be considered; the required security clearance must be maintained as a condition of continued employment. The selected candidate will be required to obtain and maintain a Special Access Program (SAP/SAR) clearance; maintaining the required clearance will be a condition of continued employment. Demonstrated ability to effectively communicate and interact with a wide range of stakeholders ranging from very technical to non-technical, individual contributors, and executive management. Customer satisfaction and continuous improvement (concepts, processes, and tools) experience (e.g. implementation of Service Now for project and service request tracking). 3+ Years of IT project management experience and demonstrated leadership skills, including planning, scheduling, and workload forecasting. The ability to handle a rapidly changing set of projects and priorities while maintaining a strong, professional presence. Customer-focused with proven leadership and excellent communication skills, with an ability to drive cross functional teams to action when working in a matrix organization. Familiarity with Artificial Intelligence (AI). Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or similar STEM related discipline. Project Management Professional (PMP) certification. Experience with Agile based practices or Lean Six Sigma methodologies. Understanding of data analytics/data science principles and practices. Self-starter who works efficiently and effectively, can get up to speed with program processes quickly, and enjoys a fast paced, dynamic environment. Entrepreneurial spirit and an ability to effectively challenge the status quo while providing innovative solutions to complex IT requirements. We offer flexible work arrangements, phenomenal learning opportunities, exposure to a wide variety of projects and customers, and a very friendly team environment. Our Employee Resource Groups (ERGs) offer opportunities to be a friend, be active, be a volunteer, be a leader, be recognized, and to be yourself. At Northrop Grumman, we are on the cutting edge of innovation. Our diverse portfolio of programs means there are endless paths to cultivate your career. We also offer exceptional benefits/healthcare, a 9/80 work schedule, and a great 401k matching program. Come join us! Primary Level Salary Range: $135,800.00 - $203,600.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See Northrop Grumman Terms & Conditions at northropgrumman and Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at
04/05/2026
Full time
RELOCATION ASSISTANCE: No relocation assistance availableCLEARANCE REQUIRED FOR START: YesCLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and secure technological solutions to enable strategic objectives. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we will support yours of expanding your personal network and developing skills, whether you are new to the field or an industry thought leader. At Northrop Grumman, you will have the resources, support, and team to do some of the best work of your career. Northrop Grumman's Chief Information and Digital Office (CIDO) is seeking an innovative and dynamic IT Program Manager. This leader will support the Tactical Fighters (TF) business unit in the Mission Systems Airborne Multifunction Sensors Division and is based in our Linthicum, MD location. Reporting to the MS CIDO Lead for TF, you will lead cross-functional support teams in a matrixed organizational structure. The candidate selected for this position will be required to work on-site, full-time at our Linthicum, MD campus - this is not a remote work opportunity. The ideal candidate will bring a diverse perspective to the team, enhancing the overall organizational experience with proven cross-functional leadership and team-building skills. In this role, you will be an essential member of the CIDO team, acting as a crucial liaison between CIDO and NGMS. Responsibilities will include but not be limited to the following: Ensure the timely and cost-effective delivery of IT and Cybersecurity services, with an emphasis on alignment with enterprise strategy and technology roadmaps. Ensure operations adhere to sound technical processes in IT/Cybersecurity and are in line with company policies, procedures, and quality standards Manage daily activities and priorities, while leading the design, development, integration, and testing of digital solutions. Oversee the technical quality, performance, budget, and schedule for IT/Cybersecurity aspects related to TF-+ programs. Drive the implementation and adoption of standardized, digital solutions, while actively seeking to identify and retire technical debt. Basic Qualifications: Associate's degree with 10 years of relevant experience, or a Bachelor's degree with 8 years of relevant experience, or a Master's degree with 6 years of relevant experience, or a PhD with 4 years of relevant experience; a High School diploma or equivalent with 12 years of relevant experience may be considered in lieu of a completed degree. Applicants must have an active DoD Secret level security clearance (at a minimum), to include a closed investigation date completed within the last 6 years, or must be enrolled in the DoD Continuous Evaluation Program (CEP) in order to be considered; the required security clearance must be maintained as a condition of continued employment. The selected candidate will be required to obtain and maintain a Special Access Program (SAP/SAR) clearance; maintaining the required clearance will be a condition of continued employment. Demonstrated ability to effectively communicate and interact with a wide range of stakeholders ranging from very technical to non-technical, individual contributors, and executive management. Customer satisfaction and continuous improvement (concepts, processes, and tools) experience (e.g. implementation of Service Now for project and service request tracking). 3+ Years of IT project management experience and demonstrated leadership skills, including planning, scheduling, and workload forecasting. The ability to handle a rapidly changing set of projects and priorities while maintaining a strong, professional presence. Customer-focused with proven leadership and excellent communication skills, with an ability to drive cross functional teams to action when working in a matrix organization. Familiarity with Artificial Intelligence (AI). Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or similar STEM related discipline. Project Management Professional (PMP) certification. Experience with Agile based practices or Lean Six Sigma methodologies. Understanding of data analytics/data science principles and practices. Self-starter who works efficiently and effectively, can get up to speed with program processes quickly, and enjoys a fast paced, dynamic environment. Entrepreneurial spirit and an ability to effectively challenge the status quo while providing innovative solutions to complex IT requirements. We offer flexible work arrangements, phenomenal learning opportunities, exposure to a wide variety of projects and customers, and a very friendly team environment. Our Employee Resource Groups (ERGs) offer opportunities to be a friend, be active, be a volunteer, be a leader, be recognized, and to be yourself. At Northrop Grumman, we are on the cutting edge of innovation. Our diverse portfolio of programs means there are endless paths to cultivate your career. We also offer exceptional benefits/healthcare, a 9/80 work schedule, and a great 401k matching program. Come join us! Primary Level Salary Range: $135,800.00 - $203,600.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See Northrop Grumman Terms & Conditions at northropgrumman and Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at
Base pay range $140,000.00/yr - $240,000.00/yr Until is a moonshot company building a "pause button" for biology. Our near term focus is organ scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole body cryopreservation, beginning with rodent models. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. About The Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You'll build high leverage ML systems that help develop new cryoprotectant formulations, engineer biologically inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end to end, including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily. About You Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science, Computational Biology) Excellent foundations in the mathematics that underlies machine learning, including linear algebra, probability, statistics, and calculus. Strong experience in modern machine learning approaches, such as representation learning, generative modeling, active learning, and Bayesian optimization. Track record of developing ML approaches for scientific discovery, as evidenced by a strong publication record, substantial open source contributions, or deployment of a machine learning system in an industry role. Demonstrated ability to write modular, maintainable, and performant code in Python. Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars, Matplotlib/Plotly. Proficient with developer tooling, including Linux command line, Git, and shell scripting. Ability to think from first principles and tackle complex, cross disciplinary problems with other scientists and engineers. Preferred Qualifications 3+ years of relevant professional or research experience, or a PhD in a computational field. Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency. Experience with cloud infrastructure (AWS, GCP) and SQL databases. Benefits Opportunity for outsized impact creating the future as an early team member. Generous medical, dental and vision insurance coverage. Flexible time off and paid holidays. Competitive compensation package, including salary and equity. 401(k) retirement savings plan. FSA and commuter benefits. Subsidized lunch daily. As an equal opportunity employer, Until is committed to providing employment opportunities to all individuals. All applicants for positions at Until will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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. While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range. Please keep in mind that the equity portion of the offer is not included in this estimate.
04/05/2026
Full time
Base pay range $140,000.00/yr - $240,000.00/yr Until is a moonshot company building a "pause button" for biology. Our near term focus is organ scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole body cryopreservation, beginning with rodent models. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. About The Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You'll build high leverage ML systems that help develop new cryoprotectant formulations, engineer biologically inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end to end, including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily. About You Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science, Computational Biology) Excellent foundations in the mathematics that underlies machine learning, including linear algebra, probability, statistics, and calculus. Strong experience in modern machine learning approaches, such as representation learning, generative modeling, active learning, and Bayesian optimization. Track record of developing ML approaches for scientific discovery, as evidenced by a strong publication record, substantial open source contributions, or deployment of a machine learning system in an industry role. Demonstrated ability to write modular, maintainable, and performant code in Python. Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars, Matplotlib/Plotly. Proficient with developer tooling, including Linux command line, Git, and shell scripting. Ability to think from first principles and tackle complex, cross disciplinary problems with other scientists and engineers. Preferred Qualifications 3+ years of relevant professional or research experience, or a PhD in a computational field. Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency. Experience with cloud infrastructure (AWS, GCP) and SQL databases. Benefits Opportunity for outsized impact creating the future as an early team member. Generous medical, dental and vision insurance coverage. Flexible time off and paid holidays. Competitive compensation package, including salary and equity. 401(k) retirement savings plan. FSA and commuter benefits. Subsidized lunch daily. As an equal opportunity employer, Until is committed to providing employment opportunities to all individuals. All applicants for positions at Until will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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. While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range. Please keep in mind that the equity portion of the offer is not included in this estimate.
STR is hiring a Senior Software Reverse Engineer who has a passion for research and analysis of vulnerabilities in cyber physical systems. Work must be performed onsite. What you'll do: Reverse engineering complex software or firmware targets, ranging from typical Windows/Linux binaries to embedded firmware running non-traditional computer architectures and operating systems Developing and applying automated reverse engineering and binary analysis tools to characterize protocols, interfaces, and functionality of target systems Developing innovative cybersecurity solutions Working in multi discipline teams to tackle challenging problems from a wide variety of technologies to develop innovative cybersecurity solutions Performing vulnerability weaponization, exploit development, payload development, and exploit mitigation on a variety of challenging targets Documenting, demonstrating, and presenting research Solving real world problems that have an impact on national security Who you are: This position requires an Active Top Secret (TS) security clearance, for which U.S. citizenship is needed by the U.S. Government Bachelors Degree in Computer Science, Computer Engineering, Cybersecurity or related field plus a minimum of 5 years relevant experience (MS or PhD with equivalent work experience may also be considered) Experience with binary analysis of software/firmware Experience with disassembly tools, such as IDA Pro, Binary Ninja, or Ghidra Proficiency in one or more programming languages: C/C++, Python, etc. Proficiency in one or more Assembly Languages: x86, ARM, etc. General understanding of reverse engineering fundamentals: memory layout, calling conventions, etc. Nice to haves: Vulnerability research and analysis Knowledge of weaponizing discovered vulnerabilities into exploits Implant or software patch development Familiarity with binary emulation or vulnerability research, including tools such as QEMU or AFL Experience with DSP architectures, such as Texas Instruments, STMicroelectronics, NXP, or Analog Devices. Knowledge of operating system internals including memory/process/thread management Embedded systems or firmware analysis Experience development custom emulation tools to enable dynamic analysis Experience analyzing and reconstructing code/data flow Automated reverse engineering or software analysis tool development Experience debugging software without source code Knowledge of binary file structures and formats Experience analyzing protocols or message structures Knowledge of anti reverse engineering techniques Knowledge of intrusion detection and anti malware systems and techniques Pay Information Full Time Salary Range: $134,000 - $184,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.
04/05/2026
Full time
STR is hiring a Senior Software Reverse Engineer who has a passion for research and analysis of vulnerabilities in cyber physical systems. Work must be performed onsite. What you'll do: Reverse engineering complex software or firmware targets, ranging from typical Windows/Linux binaries to embedded firmware running non-traditional computer architectures and operating systems Developing and applying automated reverse engineering and binary analysis tools to characterize protocols, interfaces, and functionality of target systems Developing innovative cybersecurity solutions Working in multi discipline teams to tackle challenging problems from a wide variety of technologies to develop innovative cybersecurity solutions Performing vulnerability weaponization, exploit development, payload development, and exploit mitigation on a variety of challenging targets Documenting, demonstrating, and presenting research Solving real world problems that have an impact on national security Who you are: This position requires an Active Top Secret (TS) security clearance, for which U.S. citizenship is needed by the U.S. Government Bachelors Degree in Computer Science, Computer Engineering, Cybersecurity or related field plus a minimum of 5 years relevant experience (MS or PhD with equivalent work experience may also be considered) Experience with binary analysis of software/firmware Experience with disassembly tools, such as IDA Pro, Binary Ninja, or Ghidra Proficiency in one or more programming languages: C/C++, Python, etc. Proficiency in one or more Assembly Languages: x86, ARM, etc. General understanding of reverse engineering fundamentals: memory layout, calling conventions, etc. Nice to haves: Vulnerability research and analysis Knowledge of weaponizing discovered vulnerabilities into exploits Implant or software patch development Familiarity with binary emulation or vulnerability research, including tools such as QEMU or AFL Experience with DSP architectures, such as Texas Instruments, STMicroelectronics, NXP, or Analog Devices. Knowledge of operating system internals including memory/process/thread management Embedded systems or firmware analysis Experience development custom emulation tools to enable dynamic analysis Experience analyzing and reconstructing code/data flow Automated reverse engineering or software analysis tool development Experience debugging software without source code Knowledge of binary file structures and formats Experience analyzing protocols or message structures Knowledge of anti reverse engineering techniques Knowledge of intrusion detection and anti malware systems and techniques Pay Information Full Time Salary Range: $134,000 - $184,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.
About The Team We're hiring software engineers to make the Workload team more productive. The Workload team maintains the core components of OpenAI's training and inference frameworks and helps execute frontier experiments. About The Role We're looking for someone who cares about the developer experience of working in and around OpenAI's core training and inference frameworks. In This Role You Will Be responsible for optimizing the development workflows of the engineers around you Work within various Workload teams to address their specific needs, but collaborate with the centralized teams that own various aspects of development experience Optimize iteration speed, both broadly, and in particular by optimizing specific teams' CI Improve reliability, for instance, by driving testing strategy for particular components Work through the long tail of things that it takes to build libraries and systems that will delight researchers You Might Thrive In This Role If You are motivated by helping people. You believe a thing that separates great teams from good teams are the players willing to do whatever work it takes, without ego. You believe in the power of developer experience. Something magical happens when people can quickly and confidently iterate on a simple codebase, but this magic is fragile and must be fought for. When you see someone trip over something, no matter how small, your first instinct is asking yourself what it would take for that to not happen again. Your second instinct is clicking merge on the PR you've already written to make it so. You are pragmatic. You have the ability to see the world through a perfectionist's eyes, but are not yourself a perfectionist. You know which problems to pick and when to switch to making progress on a different problem. You like going end-to-end on things. You love co-design - that feeling when you were only able to find the right solution because you both deeply understand the users that interact with a system and the system itself. You like working with Python About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $255K - $405K
04/05/2026
Full time
About The Team We're hiring software engineers to make the Workload team more productive. The Workload team maintains the core components of OpenAI's training and inference frameworks and helps execute frontier experiments. About The Role We're looking for someone who cares about the developer experience of working in and around OpenAI's core training and inference frameworks. In This Role You Will Be responsible for optimizing the development workflows of the engineers around you Work within various Workload teams to address their specific needs, but collaborate with the centralized teams that own various aspects of development experience Optimize iteration speed, both broadly, and in particular by optimizing specific teams' CI Improve reliability, for instance, by driving testing strategy for particular components Work through the long tail of things that it takes to build libraries and systems that will delight researchers You Might Thrive In This Role If You are motivated by helping people. You believe a thing that separates great teams from good teams are the players willing to do whatever work it takes, without ego. You believe in the power of developer experience. Something magical happens when people can quickly and confidently iterate on a simple codebase, but this magic is fragile and must be fought for. When you see someone trip over something, no matter how small, your first instinct is asking yourself what it would take for that to not happen again. Your second instinct is clicking merge on the PR you've already written to make it so. You are pragmatic. You have the ability to see the world through a perfectionist's eyes, but are not yourself a perfectionist. You know which problems to pick and when to switch to making progress on a different problem. You like going end-to-end on things. You love co-design - that feeling when you were only able to find the right solution because you both deeply understand the users that interact with a system and the system itself. You like working with Python About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $255K - $405K
Overview We are hiring for one of our ecosystem projects, an innovative AI and Web3 company building an Ethereum Layer 2 solution integrated with advanced AI agents. As the first engineer dedicated to this initiative, you will play a pivotal role in its development, with potential opportunities to build and lead a team in the future. Key Responsibilities Design and implement AI platforms, encompassing both front-end interfaces and back-end services. Collaborate with other developers and AI engineers on data preprocessing, model training, and optimization. Deploy AI models into production environments, ensuring performance, scalability, and reliability. Develop and maintain data processing pipelines to ensure data quality and consistency. Stay updated on AI technology trends, advocating for the integration of new technologies into our products. Contribute to other projects based on the company's product development progress. Requirements Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related field. 5 years of full-stack development experience, proficient in both front-end and back-end technologies. Expertise in front-end and back-end technologies (especially Golang). Eager to explore and could use new technologies related to AI that help improve working efficiency. Strong curiosity and willingness to explore new product directions, identify potential AI applications, and contribute to product innovation. Familiarity with Web3, blockchain, and the crypto industry, with insights into different product models and a personal perspective on industry trends and innovations. Excellent communication skills and a collaborative team spirit, with the ability to independently solve problems and take initiative. Preferred Qualifications Knowledge in data processing and analysis will be a plus, with knowledge of SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB. Experience in deploying and optimizing AI agent. Experience contributing to open-source projects. Build high-performance APIs and microservices to support large-scale Web3 application. Familiarity with large-scale data processing technologies such as Hadoop or Spark.
04/05/2026
Full time
Overview We are hiring for one of our ecosystem projects, an innovative AI and Web3 company building an Ethereum Layer 2 solution integrated with advanced AI agents. As the first engineer dedicated to this initiative, you will play a pivotal role in its development, with potential opportunities to build and lead a team in the future. Key Responsibilities Design and implement AI platforms, encompassing both front-end interfaces and back-end services. Collaborate with other developers and AI engineers on data preprocessing, model training, and optimization. Deploy AI models into production environments, ensuring performance, scalability, and reliability. Develop and maintain data processing pipelines to ensure data quality and consistency. Stay updated on AI technology trends, advocating for the integration of new technologies into our products. Contribute to other projects based on the company's product development progress. Requirements Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related field. 5 years of full-stack development experience, proficient in both front-end and back-end technologies. Expertise in front-end and back-end technologies (especially Golang). Eager to explore and could use new technologies related to AI that help improve working efficiency. Strong curiosity and willingness to explore new product directions, identify potential AI applications, and contribute to product innovation. Familiarity with Web3, blockchain, and the crypto industry, with insights into different product models and a personal perspective on industry trends and innovations. Excellent communication skills and a collaborative team spirit, with the ability to independently solve problems and take initiative. Preferred Qualifications Knowledge in data processing and analysis will be a plus, with knowledge of SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB. Experience in deploying and optimizing AI agent. Experience contributing to open-source projects. Build high-performance APIs and microservices to support large-scale Web3 application. Familiarity with large-scale data processing technologies such as Hadoop or Spark.
Austin, TX; Chicago, IL; Toronto, Canada Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take Two Interactive, our games have been downloaded over 6 billion times-connecting players in 175+ countries through fun, strategy, and a little friendly competition. Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation-and where you can take your career to the next level. Join us and be part of the play! Position Overview: Come join the team at Zynga making an impact across all of the company's games - Mobile Game Technology! We focus on game technology and shared services that drive the underlying gameplay experience. We're looking for exceptional leaders with a passion for technology and the ability to work with a diverse team. As a Senior Product Manager within Mobile Game Technology, you will be responsible for leading the Product function to design, develop, and maintain Zynga's platform portfolio, accelerating game development and streamlining live operations. This role is focused on overseeing product offerings across Identity, Social, and Core Backend. What You'll Do: Responsible for the full product lifecycle, including product vision, competitive analysis, requirements gathering, feature prioritization, spec writing, roadmap management, and partner alignment. Drive the product strategy, product specifications, and collaborate with game teams to achieve product success. Define how to measure product success and effectiveness. Apply qualitative consumer insights and quantitative data to advise product decisions and build business rationale. Build product vision by understanding customer needs, partnering closely with Product and Engineering leaders on game teams to create feedback loops for continued improvements and identify patterns of need across Zynga. Evangelize our offerings by articulating the value of our products and how they help solve the problems faced by our customers while aligning roadmaps to facilitate go to market execution. Identify & deconstruct competitive offerings in the market, formulate insights and use them to drive future roadmap direction. Responsible for a large Mobile Game Technology product area and/or multiple products. Collaborate closely with other technical leaders in Mobile Game Technology and across fields to drive best practices and positive team culture. What You Bring: 3-5 years of product management in digital products, games, or mobile apps. Familiarity with digital user profiles, data privacy or compliance is beneficial but not required. Start up, social networking, or consulting experience is a strong plus. Strong product management expertise and experience building great products that meet customer needs. Sound product judgment, ability to formulate product strategy and present clear measurable objectives that will lead to achieving our business goals. Ability to create wireframes, product specifications, and white papers. Experience using lean, data driven principles to improve a product. Some experience with data analytics and SQL is preferred. Ability to balance player, game, and business interests while considering technical costs and tradeoffs. Strong project management skills and ability to present work to executive staff. Outstanding written/oral, organizational, analytical abilities, and attention to detail. A driven self starter and a great teammate. BA/BS degree, MBA, or Computer Science preferred. What We Offer You: Zynga offers a world class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site. The pay range for this position in Illinois at the start of employment is expected to be between $98,100 and $145,200 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company's discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness related expenses. The pay range for this position in Toronto at the start of employment is expected to be between $96,400 and $142,660 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy. We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic - not an individual's race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at to request any accommodations or for support related to your application for an open position.
04/05/2026
Full time
Austin, TX; Chicago, IL; Toronto, Canada Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take Two Interactive, our games have been downloaded over 6 billion times-connecting players in 175+ countries through fun, strategy, and a little friendly competition. Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation-and where you can take your career to the next level. Join us and be part of the play! Position Overview: Come join the team at Zynga making an impact across all of the company's games - Mobile Game Technology! We focus on game technology and shared services that drive the underlying gameplay experience. We're looking for exceptional leaders with a passion for technology and the ability to work with a diverse team. As a Senior Product Manager within Mobile Game Technology, you will be responsible for leading the Product function to design, develop, and maintain Zynga's platform portfolio, accelerating game development and streamlining live operations. This role is focused on overseeing product offerings across Identity, Social, and Core Backend. What You'll Do: Responsible for the full product lifecycle, including product vision, competitive analysis, requirements gathering, feature prioritization, spec writing, roadmap management, and partner alignment. Drive the product strategy, product specifications, and collaborate with game teams to achieve product success. Define how to measure product success and effectiveness. Apply qualitative consumer insights and quantitative data to advise product decisions and build business rationale. Build product vision by understanding customer needs, partnering closely with Product and Engineering leaders on game teams to create feedback loops for continued improvements and identify patterns of need across Zynga. Evangelize our offerings by articulating the value of our products and how they help solve the problems faced by our customers while aligning roadmaps to facilitate go to market execution. Identify & deconstruct competitive offerings in the market, formulate insights and use them to drive future roadmap direction. Responsible for a large Mobile Game Technology product area and/or multiple products. Collaborate closely with other technical leaders in Mobile Game Technology and across fields to drive best practices and positive team culture. What You Bring: 3-5 years of product management in digital products, games, or mobile apps. Familiarity with digital user profiles, data privacy or compliance is beneficial but not required. Start up, social networking, or consulting experience is a strong plus. Strong product management expertise and experience building great products that meet customer needs. Sound product judgment, ability to formulate product strategy and present clear measurable objectives that will lead to achieving our business goals. Ability to create wireframes, product specifications, and white papers. Experience using lean, data driven principles to improve a product. Some experience with data analytics and SQL is preferred. Ability to balance player, game, and business interests while considering technical costs and tradeoffs. Strong project management skills and ability to present work to executive staff. Outstanding written/oral, organizational, analytical abilities, and attention to detail. A driven self starter and a great teammate. BA/BS degree, MBA, or Computer Science preferred. What We Offer You: Zynga offers a world class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site. The pay range for this position in Illinois at the start of employment is expected to be between $98,100 and $145,200 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company's discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness related expenses. The pay range for this position in Toronto at the start of employment is expected to be between $96,400 and $142,660 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy. We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic - not an individual's race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at to request any accommodations or for support related to your application for an open position.
About The Team OpenAI's Applications Engineering organization builds and operates the products that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible - from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale. About The Role You will be a Senior Android engineer on OpenAI's Applied Foundations team, building the core mobile experiences that power how users sign up, manage their account, family features, pay for services, stay safe, and interact with OpenAI's products with confidence. This role is about creating high-quality products as well as reusable Android foundations that product teams across different OpenAI apps depend on to ship quickly while meeting the highest standards for security, reliability, and user trust. You'll own complex client-side systems spanning UI, networking, local state, payment integrations and Apple platform integrations, and work closely with backend, product, and safety partners to shape the architecture that supports OpenAI's mobile ecosystem at global scale. You Might Thrive In This Role If You Have 4+ years of professional software engineering experience. Have a proven track record of building high-quality Android applications in production. Are fluent in Kotlin (and/or Java) and familiar with Android development tools and architecture components. Prioritize performance, security, and user experience in mobile development. Enjoy working cross-functionally to bring ambitious product ideas to life. Care deeply about performance, security, and user experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $255K - $325K
04/05/2026
Full time
About The Team OpenAI's Applications Engineering organization builds and operates the products that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible - from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale. About The Role You will be a Senior Android engineer on OpenAI's Applied Foundations team, building the core mobile experiences that power how users sign up, manage their account, family features, pay for services, stay safe, and interact with OpenAI's products with confidence. This role is about creating high-quality products as well as reusable Android foundations that product teams across different OpenAI apps depend on to ship quickly while meeting the highest standards for security, reliability, and user trust. You'll own complex client-side systems spanning UI, networking, local state, payment integrations and Apple platform integrations, and work closely with backend, product, and safety partners to shape the architecture that supports OpenAI's mobile ecosystem at global scale. You Might Thrive In This Role If You Have 4+ years of professional software engineering experience. Have a proven track record of building high-quality Android applications in production. Are fluent in Kotlin (and/or Java) and familiar with Android development tools and architecture components. Prioritize performance, security, and user experience in mobile development. Enjoy working cross-functionally to bring ambitious product ideas to life. Care deeply about performance, security, and user experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $255K - $325K
Austin, TX; Chicago, IL; Toronto, Canada Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take Two Interactive, our games have been downloaded over 6 billion times-connecting players in 175+ countries through fun, strategy, and a little friendly competition. Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation-and where you can take your career to the next level. Join us and be part of the play! Position Overview: Come join the team at Zynga making an impact across all of the company's games - Mobile Game Technology! We focus on game technology and shared services that drive the underlying gameplay experience. We're looking for exceptional leaders with a passion for technology and the ability to work with a diverse team. As a Senior Product Manager within Mobile Game Technology, you will be responsible for leading the Product function to design, develop, and maintain Zynga's platform portfolio, accelerating game development and streamlining live operations. This role is focused on overseeing product offerings across Identity, Social, and Core Backend. What You'll Do: Responsible for the full product lifecycle, including product vision, competitive analysis, requirements gathering, feature prioritization, spec writing, roadmap management, and partner alignment. Drive the product strategy, product specifications, and collaborate with game teams to achieve product success. Define how to measure product success and effectiveness. Apply qualitative consumer insights and quantitative data to advise product decisions and build business rationale. Build product vision by understanding customer needs, partnering closely with Product and Engineering leaders on game teams to create feedback loops for continued improvements and identify patterns of need across Zynga. Evangelize our offerings by articulating the value of our products and how they help solve the problems faced by our customers while aligning roadmaps to facilitate go to market execution. Identify & deconstruct competitive offerings in the market, formulate insights and use them to drive future roadmap direction. Responsible for a large Mobile Game Technology product area and/or multiple products. Collaborate closely with other technical leaders in Mobile Game Technology and across fields to drive best practices and positive team culture. What You Bring: 3-5 years of product management in digital products, games, or mobile apps. Familiarity with digital user profiles, data privacy or compliance is beneficial but not required. Start up, social networking, or consulting experience is a strong plus. Strong product management expertise and experience building great products that meet customer needs. Sound product judgment, ability to formulate product strategy and present clear measurable objectives that will lead to achieving our business goals. Ability to create wireframes, product specifications, and white papers. Experience using lean, data driven principles to improve a product. Some experience with data analytics and SQL is preferred. Ability to balance player, game, and business interests while considering technical costs and tradeoffs. Strong project management skills and ability to present work to executive staff. Outstanding written/oral, organizational, analytical abilities, and attention to detail. A driven self starter and a great teammate. BA/BS degree, MBA, or Computer Science preferred. What We Offer You: Zynga offers a world class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site. The pay range for this position in Illinois at the start of employment is expected to be between $98,100 and $145,200 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company's discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness related expenses. The pay range for this position in Toronto at the start of employment is expected to be between $96,400 and $142,660 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy. We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic - not an individual's race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at to request any accommodations or for support related to your application for an open position.
04/05/2026
Full time
Austin, TX; Chicago, IL; Toronto, Canada Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take Two Interactive, our games have been downloaded over 6 billion times-connecting players in 175+ countries through fun, strategy, and a little friendly competition. Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation-and where you can take your career to the next level. Join us and be part of the play! Position Overview: Come join the team at Zynga making an impact across all of the company's games - Mobile Game Technology! We focus on game technology and shared services that drive the underlying gameplay experience. We're looking for exceptional leaders with a passion for technology and the ability to work with a diverse team. As a Senior Product Manager within Mobile Game Technology, you will be responsible for leading the Product function to design, develop, and maintain Zynga's platform portfolio, accelerating game development and streamlining live operations. This role is focused on overseeing product offerings across Identity, Social, and Core Backend. What You'll Do: Responsible for the full product lifecycle, including product vision, competitive analysis, requirements gathering, feature prioritization, spec writing, roadmap management, and partner alignment. Drive the product strategy, product specifications, and collaborate with game teams to achieve product success. Define how to measure product success and effectiveness. Apply qualitative consumer insights and quantitative data to advise product decisions and build business rationale. Build product vision by understanding customer needs, partnering closely with Product and Engineering leaders on game teams to create feedback loops for continued improvements and identify patterns of need across Zynga. Evangelize our offerings by articulating the value of our products and how they help solve the problems faced by our customers while aligning roadmaps to facilitate go to market execution. Identify & deconstruct competitive offerings in the market, formulate insights and use them to drive future roadmap direction. Responsible for a large Mobile Game Technology product area and/or multiple products. Collaborate closely with other technical leaders in Mobile Game Technology and across fields to drive best practices and positive team culture. What You Bring: 3-5 years of product management in digital products, games, or mobile apps. Familiarity with digital user profiles, data privacy or compliance is beneficial but not required. Start up, social networking, or consulting experience is a strong plus. Strong product management expertise and experience building great products that meet customer needs. Sound product judgment, ability to formulate product strategy and present clear measurable objectives that will lead to achieving our business goals. Ability to create wireframes, product specifications, and white papers. Experience using lean, data driven principles to improve a product. Some experience with data analytics and SQL is preferred. Ability to balance player, game, and business interests while considering technical costs and tradeoffs. Strong project management skills and ability to present work to executive staff. Outstanding written/oral, organizational, analytical abilities, and attention to detail. A driven self starter and a great teammate. BA/BS degree, MBA, or Computer Science preferred. What We Offer You: Zynga offers a world class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site. The pay range for this position in Illinois at the start of employment is expected to be between $98,100 and $145,200 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company's discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness related expenses. The pay range for this position in Toronto at the start of employment is expected to be between $96,400 and $142,660 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy. We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic - not an individual's race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at to request any accommodations or for support related to your application for an open position.
Date Posted: 2026-02-10 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 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 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. Raytheon engineers develop the next generation of defense technologies that support our military and protect our nation and allies. We are the world's leader in developing cutting edge defense technologies through simulation-driven virtual environments. Our software products empower the next generation of innovative weapons systems and advanced AI/ML solutions. We're looking for Systems Engineer II - RF Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Systems Engineer II - RF Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in a DoD Space. You will develop key technologies in the RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You will Do You will champion novel solutions for advanced modeling techniques You will develop new C++ models in an extensible and maintainable fashion You will deploy Radio Frequency (RF) phenomenology and advanced physics concepts in software implementation You will enable our customer's success through adoption and utilization of modeling solutions You will work efficiently inside an established software product, across programming languages, and technical environments You will research and develop novel RF modeling solutions You will coordinate with multiple development teams to prioritize and solve complex software and physics problems You will mentor and share RF expertise with your team Qualifications You Must Have Typically requires a Bachelor's degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 2 years of relevant prior experience Experience applying object-oriented software design and programming in C or C++ Experience using Python or MATLAB for evaluation of data sets Experience with UNIX / Linux or Apple OS or Windows DOS command line Experience in radar processing, Imaging RF systems, energy transport, radar physics, signal processing, and/or discrimination algorithms Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make / CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) Advanced Degree in Engineering, Science, Mathematics, or related STEM degree 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 for this position Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: ,-az-location 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 68,900 USD - 131,100 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
04/05/2026
Full time
Date Posted: 2026-02-10 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 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 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. Raytheon engineers develop the next generation of defense technologies that support our military and protect our nation and allies. We are the world's leader in developing cutting edge defense technologies through simulation-driven virtual environments. Our software products empower the next generation of innovative weapons systems and advanced AI/ML solutions. We're looking for Systems Engineer II - RF Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Systems Engineer II - RF Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in a DoD Space. You will develop key technologies in the RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You will Do You will champion novel solutions for advanced modeling techniques You will develop new C++ models in an extensible and maintainable fashion You will deploy Radio Frequency (RF) phenomenology and advanced physics concepts in software implementation You will enable our customer's success through adoption and utilization of modeling solutions You will work efficiently inside an established software product, across programming languages, and technical environments You will research and develop novel RF modeling solutions You will coordinate with multiple development teams to prioritize and solve complex software and physics problems You will mentor and share RF expertise with your team Qualifications You Must Have Typically requires a Bachelor's degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 2 years of relevant prior experience Experience applying object-oriented software design and programming in C or C++ Experience using Python or MATLAB for evaluation of data sets Experience with UNIX / Linux or Apple OS or Windows DOS command line Experience in radar processing, Imaging RF systems, energy transport, radar physics, signal processing, and/or discrimination algorithms Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make / CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) Advanced Degree in Engineering, Science, Mathematics, or related STEM degree 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 for this position Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: ,-az-location 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 68,900 USD - 131,100 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
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/05/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/05/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/05/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/05/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
About The Team OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About The Role We are seeking a highly skilled cross-stack engineer with deep expertise in making ML systems reliable at scale. This hands-on individual contributor will sit within our hardware team and work closely with chip design, platform design, hardware health, and the broader industry ecosystem to architect, implement, and deploy reliable next-generation AI accelerator systems. This engineer will evaluate system and chip architecture holistically, identify high-ROI opportunities to improve reliability and availability across the stack, and translate those opportunities into strategy and silicon features. In This Role, You Will Oversee DFX architecture, implementation, and execution in silicon from concept to high-volume deployment, and propose high-ROI features to enhance reliability and fault tolerance. DFX includes design for testability, reliability, availability, and serviceability of high-performance AI hardware. Build system-level reliability models grounded in empirical data to guide organization-wide DFX and reliability strategy. This requires a detailed understanding of chip and system architecture, design, implementation, and component-level reliability. Collaborate with chip and platform architecture/design teams to explore and implement DFX features, including the specification and implementation of digital/mixed-signal IP, firmware/system software, and DFX methodology (in partnership with engineering teams). Partner with hardware health and platform design teams to continuously improve reliability and fault tolerance in NPI and HVM. This includes optimizing operating conditions, designing experiments, and performing data analysis to drive continuous, data-driven improvements across the stack. Serve as the DFX/reliability champion and evangelist to align the broader industry ecosystem with OpenAI's requirements and roadmap. Qualifications BS with 15+ years, MS with 10+ years, or PhD with 3+ years of relevant industry experience focused on reliability across the chip/platform stack. Hands-on experience with RTL design and DFT is required; physical implementation and/or silicon ATE experience is preferred. Detailed understanding of ML chip and platform architecture and ML workload characteristics is required. Strong fundamentals in reliability modeling, with hands-on skills in empirical data analysis. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. OpenAI is committed to providing reasonable accommodations to applicants with disabilities; requests can be made via this link. Compensation Range: $285K - $460K
04/05/2026
Full time
About The Team OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About The Role We are seeking a highly skilled cross-stack engineer with deep expertise in making ML systems reliable at scale. This hands-on individual contributor will sit within our hardware team and work closely with chip design, platform design, hardware health, and the broader industry ecosystem to architect, implement, and deploy reliable next-generation AI accelerator systems. This engineer will evaluate system and chip architecture holistically, identify high-ROI opportunities to improve reliability and availability across the stack, and translate those opportunities into strategy and silicon features. In This Role, You Will Oversee DFX architecture, implementation, and execution in silicon from concept to high-volume deployment, and propose high-ROI features to enhance reliability and fault tolerance. DFX includes design for testability, reliability, availability, and serviceability of high-performance AI hardware. Build system-level reliability models grounded in empirical data to guide organization-wide DFX and reliability strategy. This requires a detailed understanding of chip and system architecture, design, implementation, and component-level reliability. Collaborate with chip and platform architecture/design teams to explore and implement DFX features, including the specification and implementation of digital/mixed-signal IP, firmware/system software, and DFX methodology (in partnership with engineering teams). Partner with hardware health and platform design teams to continuously improve reliability and fault tolerance in NPI and HVM. This includes optimizing operating conditions, designing experiments, and performing data analysis to drive continuous, data-driven improvements across the stack. Serve as the DFX/reliability champion and evangelist to align the broader industry ecosystem with OpenAI's requirements and roadmap. Qualifications BS with 15+ years, MS with 10+ years, or PhD with 3+ years of relevant industry experience focused on reliability across the chip/platform stack. Hands-on experience with RTL design and DFT is required; physical implementation and/or silicon ATE experience is preferred. Detailed understanding of ML chip and platform architecture and ML workload characteristics is required. Strong fundamentals in reliability modeling, with hands-on skills in empirical data analysis. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. OpenAI is committed to providing reasonable accommodations to applicants with disabilities; requests can be made via this link. Compensation Range: $285K - $460K
Overview Join to apply for the Software Engineer, Machine Learning role at Meta. This range is provided by Meta. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $70.67/yr - $208,000.00/yr Responsibilities Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences Implement custom user interfaces using latest programming techniques and technologies Develop reusable software components for interfacing with back-end platforms Analyze and optimize code for quality, efficiency, and performance Lead complex technical or product efforts and provide technical guidance to peers Architect efficient and scalable systems that drive complex applications Identify and resolve performance and scalability issues Work on a variety of coding languages and technologies Establish ownership of components, features, or systems with expert end-to-end understanding Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 6+ years of programming experience in a relevant language or 3+ years of experience + PhD Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships Experience building maintainable and testable code bases, including API design and unit testing techniques Preferred Qualifications 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field Experience with developing machine learning models at scale from inception to business impact Knowledge developing and debugging in C/C++ and Java Experience building and shipping high quality work and achieving high reliability Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes Exposure to architectural patterns of large scale software applications Experience with scripting languages such as PyTorch, TensorFlow, Python, JavaScript or Hack About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at . Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Industries: Technology, Information and Internet
04/05/2026
Full time
Overview Join to apply for the Software Engineer, Machine Learning role at Meta. This range is provided by Meta. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $70.67/yr - $208,000.00/yr Responsibilities Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences Implement custom user interfaces using latest programming techniques and technologies Develop reusable software components for interfacing with back-end platforms Analyze and optimize code for quality, efficiency, and performance Lead complex technical or product efforts and provide technical guidance to peers Architect efficient and scalable systems that drive complex applications Identify and resolve performance and scalability issues Work on a variety of coding languages and technologies Establish ownership of components, features, or systems with expert end-to-end understanding Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 6+ years of programming experience in a relevant language or 3+ years of experience + PhD Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships Experience building maintainable and testable code bases, including API design and unit testing techniques Preferred Qualifications 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field Experience with developing machine learning models at scale from inception to business impact Knowledge developing and debugging in C/C++ and Java Experience building and shipping high quality work and achieving high reliability Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes Exposure to architectural patterns of large scale software applications Experience with scripting languages such as PyTorch, TensorFlow, Python, JavaScript or Hack About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at . Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Industries: Technology, Information and Internet
Amazon Development Center U.S., Inc.
Boston, Massachusetts
Do you want to join a team of talented software engineers who are helping to revolutionize mobility to the cloud for their customers? AWS is seeking an exceptional developer to work on the challenging problem of accelerating our customer's journey from on-premises computing to running their businesses on AWS. As a software developer, you will be part of a team that designs and builds an agentic solution that helps large enterprise companies migrate their computing to AWS. Delivering a reliable and high-performance service at AWS scale requires engineers with extraordinary technical expertise and boundless creativity. At Amazon, we also expect engineers like you to interact with customers, to understand our business goals, and to innovate rapidly, delivering high-quality and ground-breaking functionality. What does it take to thrive as a developer at AWS? You need to be creative, curious, responsible, and able to work with others to rapidly turn an idea into working code. You're excited about writing code, implementing big ideas, and helping to coach those around you to raise the team's bar for code quality. You want the opportunity to grow your technical and professional skills while helping AWS grow. You relish the opportunity to dig into complex operational issues and to help customers build the next generation of web applications. You're someone who knows how to work hard and deliver results but is also able to have fun while they are doing it. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. EEO/Accommodations Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MA, Boston - 168 400.00 USD annually
04/04/2026
Full time
Do you want to join a team of talented software engineers who are helping to revolutionize mobility to the cloud for their customers? AWS is seeking an exceptional developer to work on the challenging problem of accelerating our customer's journey from on-premises computing to running their businesses on AWS. As a software developer, you will be part of a team that designs and builds an agentic solution that helps large enterprise companies migrate their computing to AWS. Delivering a reliable and high-performance service at AWS scale requires engineers with extraordinary technical expertise and boundless creativity. At Amazon, we also expect engineers like you to interact with customers, to understand our business goals, and to innovate rapidly, delivering high-quality and ground-breaking functionality. What does it take to thrive as a developer at AWS? You need to be creative, curious, responsible, and able to work with others to rapidly turn an idea into working code. You're excited about writing code, implementing big ideas, and helping to coach those around you to raise the team's bar for code quality. You want the opportunity to grow your technical and professional skills while helping AWS grow. You relish the opportunity to dig into complex operational issues and to help customers build the next generation of web applications. You're someone who knows how to work hard and deliver results but is also able to have fun while they are doing it. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. EEO/Accommodations Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MA, Boston - 168 400.00 USD annually
San Mateo, California, United States - Full-time Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond . About the team: Our team is responsible for large portions of the software engineering stack, working on a wide variety of subsystems. We write bare metal and RTOS microcontroller code (stm32 product line), integrate and write code for embedded linux and android platforms (Qualcomm and Nvidia SOCs), maintain the associated linux kernels, and help design and bring up all new electronics. We work closely with both the hardware team and the rest of the software organization, creating the foundation for the rest of the Skydio software team to build upon. About the role: Reliable embedded firmware acts as the brain stem of our autonomous drones and the foundation for the growing accessory product line bridging the gap between the algorithms and the sensors/mechanical hardware. As a senior Skydio embedded software engineer, you will have the opportunity to architect, build out and lead the development of both current and future products in a fast paced environment. How you'll make an impact: Provide technical direction and architecture of complex systems Design and implement the embedded software that runs on the vehicle Characterize, integrate, and validate key subsystems (e.g. next gen camera, radio) Bring up and debug new hardware Write interfaces and drivers for sensors and other devices What makes you a good fit: Ability to write modern C++ in a real time embedded environment Ability to write clean code with appropriate abstraction boundaries SOC development (Qualcomm devices a plus), embedded microcontrollers, camera drivers Practical experience writing firmware/embedded code for a physical device Embedded linux userspace and kernel development Fundamental knowledge of low level firmware Hands on hardware bring up, system debugging and code optimization Knowledge of debugging systems at ARM assembly code level Embedded security and cryptographic firmware development Compensation: At Skydio, our compensation packages for regular, full time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $170,000 - 277,500 . Fundamentally, we believe that equity is the key to long term financial growth, and we ensure all regular, full time employees have the opportunity to significantly benefit from the company's success. Regular, full time employees are eligible to enroll in the Company's group health insurance plans. Regular, full time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria. Compensation for certain positions may vary based on the position's location. At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit
04/04/2026
Full time
San Mateo, California, United States - Full-time Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond . About the team: Our team is responsible for large portions of the software engineering stack, working on a wide variety of subsystems. We write bare metal and RTOS microcontroller code (stm32 product line), integrate and write code for embedded linux and android platforms (Qualcomm and Nvidia SOCs), maintain the associated linux kernels, and help design and bring up all new electronics. We work closely with both the hardware team and the rest of the software organization, creating the foundation for the rest of the Skydio software team to build upon. About the role: Reliable embedded firmware acts as the brain stem of our autonomous drones and the foundation for the growing accessory product line bridging the gap between the algorithms and the sensors/mechanical hardware. As a senior Skydio embedded software engineer, you will have the opportunity to architect, build out and lead the development of both current and future products in a fast paced environment. How you'll make an impact: Provide technical direction and architecture of complex systems Design and implement the embedded software that runs on the vehicle Characterize, integrate, and validate key subsystems (e.g. next gen camera, radio) Bring up and debug new hardware Write interfaces and drivers for sensors and other devices What makes you a good fit: Ability to write modern C++ in a real time embedded environment Ability to write clean code with appropriate abstraction boundaries SOC development (Qualcomm devices a plus), embedded microcontrollers, camera drivers Practical experience writing firmware/embedded code for a physical device Embedded linux userspace and kernel development Fundamental knowledge of low level firmware Hands on hardware bring up, system debugging and code optimization Knowledge of debugging systems at ARM assembly code level Embedded security and cryptographic firmware development Compensation: At Skydio, our compensation packages for regular, full time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $170,000 - 277,500 . Fundamentally, we believe that equity is the key to long term financial growth, and we ensure all regular, full time employees have the opportunity to significantly benefit from the company's success. Regular, full time employees are eligible to enroll in the Company's group health insurance plans. Regular, full time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria. Compensation for certain positions may vary based on the position's location. At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit
Overview Sunnyvale,CA We're looking forward to you joining us to collaborate, contribute, and revolutionize AI silicon and system. We're seeking a world-class Machine Learning System Software Architect to join our SoC team at Baidu's Sunnyvale office. The successful candidate will be a motivated self-starter who will thrive in this highly technical environment. Your job responsibilities will help the team to architect and create high-performance machine learning system software and build the distributed AI training system by connecting thousands of Kunlun Accelerators and servers. Responsibilities Create differentiated architectural innovations for Baidu's Kunlun AI SoC roadmap. Architect, simulate, and design machine learning solutions for our AI products. Develop system-level ML architectures that push performance, power, and latency boundaries; collaborate with teammates to optimize hardware and software for maximum performance. Monitor industrial and academic trends in artificial intelligence and determine intersections with roadmaps. Drive partnerships for access to advanced AI technologies. Evaluate the power, performance, and cost of prospective architecture and subsystems. Build scalable tools for modeling and performance evaluation. Engage with system and application software engineers to optimize the entire hardware/software stack. Work with SoC design, verification, and validation engineers to execute the architecture. Qualifications Knowledge of Machine Learning market, technological and business trends, software ecosystem, and emerging applications. Proven track record of 5+ years architecting software solutions for Machine Learning, acceleration and optimization, especially in large distributed training systems and HPC. Experience with deep learning frameworks: TensorFlow/PyTorch/PaddlePaddle, etc. Strong track record of outreach to ML researchers and application developers. Experience with CPUs, GPUs, memory systems, and accelerators. Experience with performance simulation and modeling in C++. MS or PhD in Electrical or Computer Engineering. Excellent communication skills in both English and Chinese. Culture Fit Mission alignment: We provide the best possible platform to accomplish this great mission. Self-directed: We work best with people who are driven, motivated, and aspire to greatness. Hungry to learn: We are eager to see you learn new skills and grow. Team orientation: We work in small, fast-moving teams and pursue big goals together. LI-DNI Apply for this job Interested in building your career at Baidu USA? Please apply through Baidu USA careers channels.
04/04/2026
Full time
Overview Sunnyvale,CA We're looking forward to you joining us to collaborate, contribute, and revolutionize AI silicon and system. We're seeking a world-class Machine Learning System Software Architect to join our SoC team at Baidu's Sunnyvale office. The successful candidate will be a motivated self-starter who will thrive in this highly technical environment. Your job responsibilities will help the team to architect and create high-performance machine learning system software and build the distributed AI training system by connecting thousands of Kunlun Accelerators and servers. Responsibilities Create differentiated architectural innovations for Baidu's Kunlun AI SoC roadmap. Architect, simulate, and design machine learning solutions for our AI products. Develop system-level ML architectures that push performance, power, and latency boundaries; collaborate with teammates to optimize hardware and software for maximum performance. Monitor industrial and academic trends in artificial intelligence and determine intersections with roadmaps. Drive partnerships for access to advanced AI technologies. Evaluate the power, performance, and cost of prospective architecture and subsystems. Build scalable tools for modeling and performance evaluation. Engage with system and application software engineers to optimize the entire hardware/software stack. Work with SoC design, verification, and validation engineers to execute the architecture. Qualifications Knowledge of Machine Learning market, technological and business trends, software ecosystem, and emerging applications. Proven track record of 5+ years architecting software solutions for Machine Learning, acceleration and optimization, especially in large distributed training systems and HPC. Experience with deep learning frameworks: TensorFlow/PyTorch/PaddlePaddle, etc. Strong track record of outreach to ML researchers and application developers. Experience with CPUs, GPUs, memory systems, and accelerators. Experience with performance simulation and modeling in C++. MS or PhD in Electrical or Computer Engineering. Excellent communication skills in both English and Chinese. Culture Fit Mission alignment: We provide the best possible platform to accomplish this great mission. Self-directed: We work best with people who are driven, motivated, and aspire to greatness. Hungry to learn: We are eager to see you learn new skills and grow. Team orientation: We work in small, fast-moving teams and pursue big goals together. LI-DNI Apply for this job Interested in building your career at Baidu USA? Please apply through Baidu USA careers channels.
San Mateo, California, United States - Full-time Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best in class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond . About the role: We are looking for a foundational member of the Data Team to enable Skydio to make data driven decisions and build data centric products. You'll build the systems that collect, transform, and store data from tens of thousands of autonomous drones, powering insights that make our vehicles smarter, safer, and more capable. You'll have the opportunity to define our data architecture, champion modern tooling in Databricks and Palantir Foundry, and bring AI assisted analytics to every corner of the company. This is not a back office data role - you'll be working on problems at the intersection of autonomy, AI, and massive scale telemetry, helping Skydio turn raw flight data into intelligence that drives real world impact! Examples of what you'll help build: Predictive models that forecast hardware issues - like propeller or battery failures - before they happen, and automatically trigger the right mitigation steps. 3D maps of cellular and radio connectivity across the operational airspace, helping customers understand where their drones can safely and reliably fly. The company wide data lakehouse that powers analytics, dashboards, and machine learning - built to be secure, scalable, and lightning fast. AI driven data tools that let anyone at Skydio explore data, uncover insights, and build pipelines for their use cases - all in a truly self serve way. How you'll make an impact: Design and scale the data infrastructure that ingests live telemetry from tens of thousands of autonomous drones - reliably, efficiently, and with the scale to support the next generation of flight intelligence. Build and evolve our Databricks and Palantir Foundry environments to empower every Skydian to query data, define jobs, and build dashboards - turning raw telemetry into accessible, actionable insights. Develop data systems that make our products truly data driven - from predictive analytics that anticipate hardware failures, to 3D connectivity mapping, to in depth flight telemetry analysis that sharpens drone performance. Create and integrate AI powered tools for data analysis, transformation, and pipeline generation - lowering the technical barrier and democratizing how teams access and build with data. Champion a data driven culture by defining and enforcing best practices for data quality, lineage, and governance, keeping Skydio's data lakehouse secure, performant, and cost effective at scale. Collaborate with autonomy, manufacturing, and operations teams to unify how data flows across the company - enabling faster, smarter decision making and unlocking AI driven insights end to end. Lead and mentor data engineers, analysts, and stakeholders across Skydio - guiding teams toward better architecture, more reliable data models, and a shared culture of excellence. Ensure platform reliability by implementing robust monitoring, observability, and contributing to the on call rotation for critical data systems. What would make you a good fit: 5+ years of professional experience, including 2+ years in software engineering and 2+ years in data engineering with a bias towards getting your hands dirty. Deep experience with Databricks building pipelines, managing datasets, and developing dashboards or analytical applications. Proven track record of operating scalable data platforms, defining company wide patterns that ensure reliability, performance, and cost effectiveness. Proficiency in SQL and at least one modern programming language (we use Python), and comfort working across the full data stack - from ingestion and transformation to orchestration and visualization. Strong communication skills, with the ability to collaborate effectively across all levels and functions - from engineers and analysts to senior leadership - and to translate data into clear narratives and decisions. Demonstrated ability to lead technical direction, mentor teammates, and promote engineering excellence and best practices across the organization. Familiarity with AI assisted data workflows, including tools that accelerate data transformations or enable natural language interfaces for analytics. Bonus: Experience in robotics, IoT, or autonomous systems, or building data systems that integrate with real world hardware. Why Join Us? At Skydio, you'll help shape the future of autonomous flight technology. You'll work alongside world class engineers and domain experts, and you'll be given ownership and autonomy to grow into a leadership role. We offer competitive compensation, excellent benefits, and an opportunity to make a tangible impact in an industry poised for massive growth. Compensation: At Skydio, our compensation packages for regular, full time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $180,000-240,000 . Fundamentally, we believe that equity is the key to long term financial growth, and we ensure all regular, full time employees have the opportunity to significantly benefit from the company's success. Regular, full time employees are eligible to enroll in the Company's group health insurance plans. Regular, full time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria. Compensation for certain positions may vary based on the position's location. At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit
04/04/2026
Full time
San Mateo, California, United States - Full-time Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best in class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond . About the role: We are looking for a foundational member of the Data Team to enable Skydio to make data driven decisions and build data centric products. You'll build the systems that collect, transform, and store data from tens of thousands of autonomous drones, powering insights that make our vehicles smarter, safer, and more capable. You'll have the opportunity to define our data architecture, champion modern tooling in Databricks and Palantir Foundry, and bring AI assisted analytics to every corner of the company. This is not a back office data role - you'll be working on problems at the intersection of autonomy, AI, and massive scale telemetry, helping Skydio turn raw flight data into intelligence that drives real world impact! Examples of what you'll help build: Predictive models that forecast hardware issues - like propeller or battery failures - before they happen, and automatically trigger the right mitigation steps. 3D maps of cellular and radio connectivity across the operational airspace, helping customers understand where their drones can safely and reliably fly. The company wide data lakehouse that powers analytics, dashboards, and machine learning - built to be secure, scalable, and lightning fast. AI driven data tools that let anyone at Skydio explore data, uncover insights, and build pipelines for their use cases - all in a truly self serve way. How you'll make an impact: Design and scale the data infrastructure that ingests live telemetry from tens of thousands of autonomous drones - reliably, efficiently, and with the scale to support the next generation of flight intelligence. Build and evolve our Databricks and Palantir Foundry environments to empower every Skydian to query data, define jobs, and build dashboards - turning raw telemetry into accessible, actionable insights. Develop data systems that make our products truly data driven - from predictive analytics that anticipate hardware failures, to 3D connectivity mapping, to in depth flight telemetry analysis that sharpens drone performance. Create and integrate AI powered tools for data analysis, transformation, and pipeline generation - lowering the technical barrier and democratizing how teams access and build with data. Champion a data driven culture by defining and enforcing best practices for data quality, lineage, and governance, keeping Skydio's data lakehouse secure, performant, and cost effective at scale. Collaborate with autonomy, manufacturing, and operations teams to unify how data flows across the company - enabling faster, smarter decision making and unlocking AI driven insights end to end. Lead and mentor data engineers, analysts, and stakeholders across Skydio - guiding teams toward better architecture, more reliable data models, and a shared culture of excellence. Ensure platform reliability by implementing robust monitoring, observability, and contributing to the on call rotation for critical data systems. What would make you a good fit: 5+ years of professional experience, including 2+ years in software engineering and 2+ years in data engineering with a bias towards getting your hands dirty. Deep experience with Databricks building pipelines, managing datasets, and developing dashboards or analytical applications. Proven track record of operating scalable data platforms, defining company wide patterns that ensure reliability, performance, and cost effectiveness. Proficiency in SQL and at least one modern programming language (we use Python), and comfort working across the full data stack - from ingestion and transformation to orchestration and visualization. Strong communication skills, with the ability to collaborate effectively across all levels and functions - from engineers and analysts to senior leadership - and to translate data into clear narratives and decisions. Demonstrated ability to lead technical direction, mentor teammates, and promote engineering excellence and best practices across the organization. Familiarity with AI assisted data workflows, including tools that accelerate data transformations or enable natural language interfaces for analytics. Bonus: Experience in robotics, IoT, or autonomous systems, or building data systems that integrate with real world hardware. Why Join Us? At Skydio, you'll help shape the future of autonomous flight technology. You'll work alongside world class engineers and domain experts, and you'll be given ownership and autonomy to grow into a leadership role. We offer competitive compensation, excellent benefits, and an opportunity to make a tangible impact in an industry poised for massive growth. Compensation: At Skydio, our compensation packages for regular, full time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $180,000-240,000 . Fundamentally, we believe that equity is the key to long term financial growth, and we ensure all regular, full time employees have the opportunity to significantly benefit from the company's success. Regular, full time employees are eligible to enroll in the Company's group health insurance plans. Regular, full time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria. Compensation for certain positions may vary based on the position's location. At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit
San Mateo, California, United States - Full-time Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond . About the role We are looking for a foundational member of the Data Team to enable Skydio to make data-driven decisions and build data-centric products. Examples of what you'll help build Predictive models that forecast hardware issues - like propeller or battery failures - before they happen, and automatically trigger the right mitigation steps. 3D maps of cellular and radio connectivity across the operational airspace, helping customers understand where their drones can safely and reliably fly. The company-wide data lakehouse that powers analytics, dashboards, and machine learning - built to be secure, scalable, and lightning-fast. AI-driven data tools that let anyone at Skydio explore data, uncover insights, and build pipelines for their use cases - all in a truly self-serve way. How you'll make an impact Design and scale the data infrastructure that ingests live telemetry from tens of thousands of autonomous drones - reliably, efficiently, and with the scale to support the next generation of flight intelligence. Build and evolve our Databricks and Palantir Foundry environments to empower every Skydian to query data, define jobs, and build dashboards - turning raw telemetry into accessible, actionable insights. Develop data systems that make our products truly data-driven - from predictive analytics that anticipate hardware failures, to 3D connectivity mapping, to in-depth flight telemetry analysis that sharpens drone performance. Create and integrate AI-powered tools for data analysis, transformation, and pipeline generation - lowering the technical barrier and democratizing how teams access and build with data. Champion a data-driven culture by defining and enforcing best practices for data quality, lineage, and governance, keeping Skydio's data lakehouse secure, performant, and cost-effective at scale. Collaborate with autonomy, manufacturing, and operations teams to unify how data flows across the company - enabling faster, smarter decision-making and unlocking AI-driven insights end-to-end. Lead and mentor data engineers, analysts, and stakeholders across Skydio - guiding teams toward better architecture, more reliable data models, and a shared culture of excellence. Ensure platform reliability by implementing robust monitoring, observability, and contributing to the on-call rotation for critical data systems. What would make you a good fit 5+ years of professional experience, including 2+ years in software engineering and 2+ years in data engineering with a bias towards getting your hands dirty. Deep experience with Databricks building pipelines, managing datasets, and developing dashboards or analytical applications. Proven track record of operating scalable data platforms, defining company-wide patterns that ensure reliability, performance, and cost effectiveness. Proficiency in SQL and at least one modern programming language (we use Python), and comfort working across the full data stack - from ingestion and transformation to orchestration and visualization. Strong communication skills, with the ability to collaborate effectively across all levels and functions - from engineers and analysts to senior leadership - and to translate data into clear narratives and decisions. Demonstrated ability to lead technical direction, mentor teammates, and promote engineering excellence and best practices across the organization. Familiarity with AI-assisted data workflows, including tools that accelerate data transformations or enable natural-language interfaces for analytics. Bonus: Experience in robotics, IoT, or autonomous systems, or building data systems that integrate with real-world hardware. Why Join Us At Skydio, you'll help shape the future of autonomous flight technology. You'll work alongside world-class engineers and domain experts, and you'll be given ownership and autonomy to grow into a leadership role. We offer competitive compensation, excellent benefits, and an opportunity to make a tangible impact in an industry poised for massive growth. Compensation At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $180,000-240,000 . Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company's group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria. Compensation for certain positions may vary based on the position's location. EEO Statement At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit
04/04/2026
Full time
San Mateo, California, United States - Full-time Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond . About the role We are looking for a foundational member of the Data Team to enable Skydio to make data-driven decisions and build data-centric products. Examples of what you'll help build Predictive models that forecast hardware issues - like propeller or battery failures - before they happen, and automatically trigger the right mitigation steps. 3D maps of cellular and radio connectivity across the operational airspace, helping customers understand where their drones can safely and reliably fly. The company-wide data lakehouse that powers analytics, dashboards, and machine learning - built to be secure, scalable, and lightning-fast. AI-driven data tools that let anyone at Skydio explore data, uncover insights, and build pipelines for their use cases - all in a truly self-serve way. How you'll make an impact Design and scale the data infrastructure that ingests live telemetry from tens of thousands of autonomous drones - reliably, efficiently, and with the scale to support the next generation of flight intelligence. Build and evolve our Databricks and Palantir Foundry environments to empower every Skydian to query data, define jobs, and build dashboards - turning raw telemetry into accessible, actionable insights. Develop data systems that make our products truly data-driven - from predictive analytics that anticipate hardware failures, to 3D connectivity mapping, to in-depth flight telemetry analysis that sharpens drone performance. Create and integrate AI-powered tools for data analysis, transformation, and pipeline generation - lowering the technical barrier and democratizing how teams access and build with data. Champion a data-driven culture by defining and enforcing best practices for data quality, lineage, and governance, keeping Skydio's data lakehouse secure, performant, and cost-effective at scale. Collaborate with autonomy, manufacturing, and operations teams to unify how data flows across the company - enabling faster, smarter decision-making and unlocking AI-driven insights end-to-end. Lead and mentor data engineers, analysts, and stakeholders across Skydio - guiding teams toward better architecture, more reliable data models, and a shared culture of excellence. Ensure platform reliability by implementing robust monitoring, observability, and contributing to the on-call rotation for critical data systems. What would make you a good fit 5+ years of professional experience, including 2+ years in software engineering and 2+ years in data engineering with a bias towards getting your hands dirty. Deep experience with Databricks building pipelines, managing datasets, and developing dashboards or analytical applications. Proven track record of operating scalable data platforms, defining company-wide patterns that ensure reliability, performance, and cost effectiveness. Proficiency in SQL and at least one modern programming language (we use Python), and comfort working across the full data stack - from ingestion and transformation to orchestration and visualization. Strong communication skills, with the ability to collaborate effectively across all levels and functions - from engineers and analysts to senior leadership - and to translate data into clear narratives and decisions. Demonstrated ability to lead technical direction, mentor teammates, and promote engineering excellence and best practices across the organization. Familiarity with AI-assisted data workflows, including tools that accelerate data transformations or enable natural-language interfaces for analytics. Bonus: Experience in robotics, IoT, or autonomous systems, or building data systems that integrate with real-world hardware. Why Join Us At Skydio, you'll help shape the future of autonomous flight technology. You'll work alongside world-class engineers and domain experts, and you'll be given ownership and autonomy to grow into a leadership role. We offer competitive compensation, excellent benefits, and an opportunity to make a tangible impact in an industry poised for massive growth. Compensation At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $180,000-240,000 . Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company's group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria. Compensation for certain positions may vary based on the position's location. EEO Statement At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit
