L3 Data Center Technician Location: Twinsburg, OH Duration: 2 Months(Temp to Perm) Hours: Shift (11pm-7am) Description: Datacenter technicians shall review the DCRM (Data Center Request Management) tool and acknowledge the work request by providing a date for completion within 24 hours. Technicians must complete the installation date within three (3) days of the request hitting the HSS queue. Installation priorities are to be coordinated with the onsite lead. New Installations (onsite DC): Rack / cabinet installations Install power strips within cabinets Power up cabinets, label rack, update DCTracks Plug in IT equipment using best practices for loading a cabinet and power strips. Space provision IT devices in DCTracks Unboxing of hardware and disposal of packing material Rack and stack of IT devices Configure ILO / IDRAC on servers / network gear Install all patch cords as required. Install trunks and patch panels as required to support additional capacity Ping tests of all ILO connections. Attend planning meetings with customers, network, SAN teams Customer communications for DCRM details and closure Provide access for vendors and complete any required paperwork to telco Meet me rooms Perform all IT audits, annual DCtrack and Tape audits Parts ordering (quote gathering) and submissions for purchase ordering Vendor access approval for break fix activity and facility repairs. Provide on-call support as required Provide Emergency onsite coverage (maybe extended time frame) Provide support to facilities teams during any power work being performed within the facility where pre and post IT power checks must be performed. Break / Fix repairs (onsite DC): In addition to work order tickets and MIM bridge, the Supplier may get called by infra teams to go and check cabling and /or hardware issues. Break / Fix repairs will include the following tasks: Troubleshooting, isolating and repairing all cables (SM, MM and copper) Removal and installation of parts from inside of IT hardware to include but not limited to: NIC's SFP's Memory Hard Drives Decom / Cabling (onsite DC): Every decom request will be in a change record. Supplier needs to confirm it is in a scheduled status before proceeding with the work. Decom / cabling tasks will include the following: The removal of all patch cords from end to end of the cable path, to include both ends of patch panel connections. Remove old hardware from equipment racks and prepare for disposal per the decommissioning process. Remove all patch cords per above requirements. Removable media (disk) disposal tracking and destruction (Blancco wipe process procedures & Shredding) ADR/ERI tracking and coordination Hardware Dispatch Operations (HDO) function is an offshore 7x24x365 support team responsible for Infrastructure Hardware repairs in the Verizon IT Data Centers. HDO team works closely with key stakeholders, including external hardware vendors, SES, SIDM, Hardware Engineering, Change Management, MIM and Application Teams. Centralized point of contact between technical support groups and hardware vendors Manage and coordinate hardware repairs for IT Data Centers Work closely with key stakeholders, including external hardware vendors, SES, SIDM, HW Engineering, Change Management, MIM, and the application teams Manage scheduling of hardware repairs for IT and Non-IT server and storage devices in the Data Center Evaluate each dispatch request (VDT) to determine the applicable maintenance coverage, and the most cost-effective way to schedule the repair Authorize Service Uplifts, T&M repairs, warranty repairs, installations and upgrades Create incident requests (IR) to gather log files from technical support groups Open Hardware Vendor service requests with diagnostic logs for the vendor Participate in MIM bridge calls during hardware related outages, to gather the information needed to initiate the hardware repair Create AYS change request (CHG) for the respective activities with complete implementation plans, and accurate contact information for all parties involved in the implementation, and follow data center work rules Create C-Task to engage the support groups Use approved change activity records to ensure that all tasks are performed without causing interruption of service availability Ensure quick repair with optimum utilization of maintenance contracts with hardware vendors meeting the SLA's Verify that the problem is resolved, and update / close associated CHG, IR and Dispatch records Entries into Hardware Receiving System (HRS) (onsite DC): The Supplier shall log all equipment arrivals and removals from parts closets and warehouses for audit and tracking purposes. Supplier must complete updating of any removal before the end of the shift. Entries into Hardware Receiving System tasks will include the following: Package pickup and delivery to include large shipments on the loading docks or mailrooms. Coordinate / prepare for shipment and transfer of equipment to other locations Move hardware to the appropriate storage locations after HRS updated. RMA all parts as required including tracking of those parts using HRS tool. Email validation of part receipt and availability, track in HRS tool. HRS receiving / tracking of all IT devices, and parts Large assets are tracked in both HRS and DCTracks
04/04/2026
Full time
L3 Data Center Technician Location: Twinsburg, OH Duration: 2 Months(Temp to Perm) Hours: Shift (11pm-7am) Description: Datacenter technicians shall review the DCRM (Data Center Request Management) tool and acknowledge the work request by providing a date for completion within 24 hours. Technicians must complete the installation date within three (3) days of the request hitting the HSS queue. Installation priorities are to be coordinated with the onsite lead. New Installations (onsite DC): Rack / cabinet installations Install power strips within cabinets Power up cabinets, label rack, update DCTracks Plug in IT equipment using best practices for loading a cabinet and power strips. Space provision IT devices in DCTracks Unboxing of hardware and disposal of packing material Rack and stack of IT devices Configure ILO / IDRAC on servers / network gear Install all patch cords as required. Install trunks and patch panels as required to support additional capacity Ping tests of all ILO connections. Attend planning meetings with customers, network, SAN teams Customer communications for DCRM details and closure Provide access for vendors and complete any required paperwork to telco Meet me rooms Perform all IT audits, annual DCtrack and Tape audits Parts ordering (quote gathering) and submissions for purchase ordering Vendor access approval for break fix activity and facility repairs. Provide on-call support as required Provide Emergency onsite coverage (maybe extended time frame) Provide support to facilities teams during any power work being performed within the facility where pre and post IT power checks must be performed. Break / Fix repairs (onsite DC): In addition to work order tickets and MIM bridge, the Supplier may get called by infra teams to go and check cabling and /or hardware issues. Break / Fix repairs will include the following tasks: Troubleshooting, isolating and repairing all cables (SM, MM and copper) Removal and installation of parts from inside of IT hardware to include but not limited to: NIC's SFP's Memory Hard Drives Decom / Cabling (onsite DC): Every decom request will be in a change record. Supplier needs to confirm it is in a scheduled status before proceeding with the work. Decom / cabling tasks will include the following: The removal of all patch cords from end to end of the cable path, to include both ends of patch panel connections. Remove old hardware from equipment racks and prepare for disposal per the decommissioning process. Remove all patch cords per above requirements. Removable media (disk) disposal tracking and destruction (Blancco wipe process procedures & Shredding) ADR/ERI tracking and coordination Hardware Dispatch Operations (HDO) function is an offshore 7x24x365 support team responsible for Infrastructure Hardware repairs in the Verizon IT Data Centers. HDO team works closely with key stakeholders, including external hardware vendors, SES, SIDM, Hardware Engineering, Change Management, MIM and Application Teams. Centralized point of contact between technical support groups and hardware vendors Manage and coordinate hardware repairs for IT Data Centers Work closely with key stakeholders, including external hardware vendors, SES, SIDM, HW Engineering, Change Management, MIM, and the application teams Manage scheduling of hardware repairs for IT and Non-IT server and storage devices in the Data Center Evaluate each dispatch request (VDT) to determine the applicable maintenance coverage, and the most cost-effective way to schedule the repair Authorize Service Uplifts, T&M repairs, warranty repairs, installations and upgrades Create incident requests (IR) to gather log files from technical support groups Open Hardware Vendor service requests with diagnostic logs for the vendor Participate in MIM bridge calls during hardware related outages, to gather the information needed to initiate the hardware repair Create AYS change request (CHG) for the respective activities with complete implementation plans, and accurate contact information for all parties involved in the implementation, and follow data center work rules Create C-Task to engage the support groups Use approved change activity records to ensure that all tasks are performed without causing interruption of service availability Ensure quick repair with optimum utilization of maintenance contracts with hardware vendors meeting the SLA's Verify that the problem is resolved, and update / close associated CHG, IR and Dispatch records Entries into Hardware Receiving System (HRS) (onsite DC): The Supplier shall log all equipment arrivals and removals from parts closets and warehouses for audit and tracking purposes. Supplier must complete updating of any removal before the end of the shift. Entries into Hardware Receiving System tasks will include the following: Package pickup and delivery to include large shipments on the loading docks or mailrooms. Coordinate / prepare for shipment and transfer of equipment to other locations Move hardware to the appropriate storage locations after HRS updated. RMA all parts as required including tracking of those parts using HRS tool. Email validation of part receipt and availability, track in HRS tool. HRS receiving / tracking of all IT devices, and parts Large assets are tracked in both HRS and DCTracks
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
We are looking for software engineers, preferably proficient in TypeScript. We prefer people who are comfortable in a full-stack role and have superhero strengths in building scalable backends. We play with a lot of hardware and spend a lot of time thinking about developer UX. We like written communications. We prefer to keep things simple and don't overthink first implementations. You should generally be curious, comfortable with the unknown, love experimentation, and be able to move fast. Overview Our high-level goal is to build a device/manufacturer agnostic integration layer that connects to various devices and exposes their functionality through a simple API. This task involves integrating dozens of different IoT brands and their protocols (Z-Wave, Zigbee, BACnet, OEM API, etc.) and neatly organizing them amongst common functionality. We spend a lot of time building this part of our stack. Client Libraries & APIs Our customers tend to be quite technical, and some of them even contribute code to our SDKs. We spend a lot of time creating tools and client libraries to make interfacing applications with devices easier. We strive to standardize device functions across brands and hide all the nasty complexity away. Qualifications 4+ years of full-stack development experience with expertise in TypeScript. Strong in SQL, particularly with PostgreSQL, including schema design, query optimization, and performance tuning. Familiarity with SRE principles, including incident management, monitoring, and system reliability. Experience in designing and maintaining scalable backend APIs and client libraries, with a focus on performance, reliability, and developer experience. You maintain a healthy balance between perfectionism and actually getting stuff done. Preferred Qualifications Prior experience working with both high growth stage private startups and larger scale companies. Previous experience or interest in IoT, hardware integration, or related fields is a bonus. About Seam Seam is an API for controlling a wide range of IoT devices. Today we primarily focus on door lock and access systems. Our customers span industries, such as hospitality, real estate, or even last-mile delivery, and range in size from startups-in-garage to public companies. Across the board, their goal is the same: use code to control hardware devices, and orchestrate the physical world. About You We generally seek "sharp minds with kind souls." We prefer generalists over specialists; we move quickly, with purpose; we enjoy working with each other and aim to be the best. Benefits 100% employer-paid health care insurance including medical, dental, vision + 75% dependent coverage Paid Time Off and Company paid holidays Base Pay Range: $130k - $200k per year + Equity Voluntary Self-Identification Seam participates in voluntary self-identification of disability for OFCCP compliance. Participation is voluntary and confidential, and will not affect your employment opportunities. If you choose to participate, the information will be used solely for equal employment opportunity reporting purposes.
04/04/2026
Full time
We are looking for software engineers, preferably proficient in TypeScript. We prefer people who are comfortable in a full-stack role and have superhero strengths in building scalable backends. We play with a lot of hardware and spend a lot of time thinking about developer UX. We like written communications. We prefer to keep things simple and don't overthink first implementations. You should generally be curious, comfortable with the unknown, love experimentation, and be able to move fast. Overview Our high-level goal is to build a device/manufacturer agnostic integration layer that connects to various devices and exposes their functionality through a simple API. This task involves integrating dozens of different IoT brands and their protocols (Z-Wave, Zigbee, BACnet, OEM API, etc.) and neatly organizing them amongst common functionality. We spend a lot of time building this part of our stack. Client Libraries & APIs Our customers tend to be quite technical, and some of them even contribute code to our SDKs. We spend a lot of time creating tools and client libraries to make interfacing applications with devices easier. We strive to standardize device functions across brands and hide all the nasty complexity away. Qualifications 4+ years of full-stack development experience with expertise in TypeScript. Strong in SQL, particularly with PostgreSQL, including schema design, query optimization, and performance tuning. Familiarity with SRE principles, including incident management, monitoring, and system reliability. Experience in designing and maintaining scalable backend APIs and client libraries, with a focus on performance, reliability, and developer experience. You maintain a healthy balance between perfectionism and actually getting stuff done. Preferred Qualifications Prior experience working with both high growth stage private startups and larger scale companies. Previous experience or interest in IoT, hardware integration, or related fields is a bonus. About Seam Seam is an API for controlling a wide range of IoT devices. Today we primarily focus on door lock and access systems. Our customers span industries, such as hospitality, real estate, or even last-mile delivery, and range in size from startups-in-garage to public companies. Across the board, their goal is the same: use code to control hardware devices, and orchestrate the physical world. About You We generally seek "sharp minds with kind souls." We prefer generalists over specialists; we move quickly, with purpose; we enjoy working with each other and aim to be the best. Benefits 100% employer-paid health care insurance including medical, dental, vision + 75% dependent coverage Paid Time Off and Company paid holidays Base Pay Range: $130k - $200k per year + Equity Voluntary Self-Identification Seam participates in voluntary self-identification of disability for OFCCP compliance. Participation is voluntary and confidential, and will not affect your employment opportunities. If you choose to participate, the information will be used solely for equal employment opportunity reporting purposes.
An innovative company is seeking a Full Stack Product Engineer to join their dynamic team in San Francisco. This exciting role involves developing both back-end and front-end web applications, focusing on AI/LLM powered features that enhance user experiences for Airbnb hosts. You will work alongside a talented team of engineers and data scientists, contributing to a product that aims to lead the market. If you are a driven engineer with a passion for creating impactful solutions and enjoy working in a collaborative environment, this opportunity is perfect for you.
04/04/2026
Full time
An innovative company is seeking a Full Stack Product Engineer to join their dynamic team in San Francisco. This exciting role involves developing both back-end and front-end web applications, focusing on AI/LLM powered features that enhance user experiences for Airbnb hosts. You will work alongside a talented team of engineers and data scientists, contributing to a product that aims to lead the market. If you are a driven engineer with a passion for creating impactful solutions and enjoy working in a collaborative environment, this opportunity is perfect for you.
Overview At FurtherAI, we're creating vertical AI agents, to automate tasks traditionally done by humans. We recently raised a seed round from top investors (announcement soon), growing rapidly, and are looking for superstars to join us on our journey. As the software engineer, you'll play a pivotal role in building the core product while also spearheading efforts to ensure scalability, optimize performance, and continuously improve the product to meet evolving needs and challenges. This is a remote role but requires atleast 4 hrs of overlap with PST (9AM - 9PM PST). Responsibilities Build the core product and play a pivotal role in its development Spearhead efforts to ensure scalability and optimize performance Continuously improve the product to meet evolving needs and challenges Qualifications 3+ years of experience in building products in the 0 to 1 stage Experience building high-performant backend systems in Python Ability to communicate well, both in person and on paper Previous work at a B2B SaaS company is a bonus Insane drive and ownership - If you are world-class here, other requirements are optional What we value At FurtherAI, we take immense pride in our work, operate with a strong sense of ownership, and are relentless in our pursuit of excellence. Every member of our team works extremely hard, driven by the common goal of building something transformative. If you're not ready to bring this level of commitment and ownership to the table, this role may not be the right fit for you. Perfect opportunity if you want to Build a new generation product that use AI agents as centerpiece Own a significant part of the backend stack Be one of the first employees in a fast-paced startup Shape our culture Start your own company in future!
04/04/2026
Full time
Overview At FurtherAI, we're creating vertical AI agents, to automate tasks traditionally done by humans. We recently raised a seed round from top investors (announcement soon), growing rapidly, and are looking for superstars to join us on our journey. As the software engineer, you'll play a pivotal role in building the core product while also spearheading efforts to ensure scalability, optimize performance, and continuously improve the product to meet evolving needs and challenges. This is a remote role but requires atleast 4 hrs of overlap with PST (9AM - 9PM PST). Responsibilities Build the core product and play a pivotal role in its development Spearhead efforts to ensure scalability and optimize performance Continuously improve the product to meet evolving needs and challenges Qualifications 3+ years of experience in building products in the 0 to 1 stage Experience building high-performant backend systems in Python Ability to communicate well, both in person and on paper Previous work at a B2B SaaS company is a bonus Insane drive and ownership - If you are world-class here, other requirements are optional What we value At FurtherAI, we take immense pride in our work, operate with a strong sense of ownership, and are relentless in our pursuit of excellence. Every member of our team works extremely hard, driven by the common goal of building something transformative. If you're not ready to bring this level of commitment and ownership to the table, this role may not be the right fit for you. Perfect opportunity if you want to Build a new generation product that use AI agents as centerpiece Own a significant part of the backend stack Be one of the first employees in a fast-paced startup Shape our culture Start your own company in future!
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.
Get AI-powered advice on this job and more exclusive features. This range is provided by Prime Team Partners. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $150,000.00/yr - $175,000.00/yr Senior Software Engineer Location: Hybrid (1-2x a week onsite) in Bellevue, WA Position Type: Full-Time Compensation: $150K-175K, DOE We are seeking a skilled Senior Software Engineer to lead the modernization of legacy systems while driving innovation in new solutions. This role emphasizes hands-on development, system optimization, and collaboration with cross-functional teams. This company is experiencing rapid growth with a unique product and innovative solutions for their customers. Work on meaningful, mission-driven projects in a collaborative environment with opportunities for autonomy, growth, and leadership. Responsibilities: Modernize and refactor legacy systems for scalability and performance. Design and implement new features and integrations. Work across the stack, focusing on .NET and diverse modern technologies. Solve complex technical challenges and ensure high code quality. Collaborate with stakeholders to align solutions with business goals. Qualifications: Experience with cloud platforms (AWS, Azure, or GCP), containerization, and database optimization. Strong problem-solving and system design skills. Prime Team Partners is an equal opportunity employer. Prime Team Partners does not discriminate on the basis of race, color, religion, national origin, pregnancy status, gender, age, marital status, disability, medical condition, sexual orientation, or any other characteristics protected by applicable state or federal civil rights laws. For contract positions, hired candidates will be employed by Prime Team for the duration of the contract period and be eligible for our company benefits. Benefits include medical, dental and vision. Employees are covered at 75%. We offer a 401K after 6 months, we do not provide paid holidays or PTO, sick time is offered in accordance with local laws. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionInformation Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Prime Team Partners by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Software Engineer" roles. Seattle, WA $99,000.00-$124,200.00 3 days ago Seattle, WA $99,500.00-$200,000.00 1 day ago Redmond, WA $84,200.00-$180,400.00 6 days ago Seattle, WA $99,500.00-$200,000.00 1 day ago Front End Software Engineering II, Slack Seattle, WA $157,600.00-$236,500.00 2 days ago Seattle, WA $100,000.00-$720,000.00 4 days ago Seattle, WA $117,760.00-$147,200.00 1 week ago Seattle, WA $140,000.00-$180,000.00 1 month ago Seattle, WA $110,400.00-$138,000.00 2 days ago Seattle, WA $90,000.00-$170,000.00 3 days ago Software Engineer, Research Infrastructure (University Grad) Seattle, WA $140,000.00-$180,000.00 1 month ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Seattle, WA $99,500.00-$200,000.00 2 weeks ago Software Development Engineer - 2025 (US) Seattle, WA $99,500.00-$200,000.00 1 week ago Redmond, WA $99,500.00-$200,000.00 3 days ago Seattle, WA $150,000.00-$158,000.00 7 hours ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Seattle, WA $150,500.00-$269,200.00 2 weeks ago Seattle, WA $90,000.00-$180,000.00 1 week ago Seattle, WA $98,900.00-$228,700.00 1 week ago Seattle, WA $150,000.00-$175,000.00 2 months ago Bellevue, WA $157,000.00-$230,000. hours ago Seattle, WA $91,158.00-$139,222.66 1 week ago Seattle, WA $140,000.00-$180,000.00 1 month ago Redmond, WA $100,600.00-$215,400.00 2 days ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/04/2026
Full time
Get AI-powered advice on this job and more exclusive features. This range is provided by Prime Team Partners. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $150,000.00/yr - $175,000.00/yr Senior Software Engineer Location: Hybrid (1-2x a week onsite) in Bellevue, WA Position Type: Full-Time Compensation: $150K-175K, DOE We are seeking a skilled Senior Software Engineer to lead the modernization of legacy systems while driving innovation in new solutions. This role emphasizes hands-on development, system optimization, and collaboration with cross-functional teams. This company is experiencing rapid growth with a unique product and innovative solutions for their customers. Work on meaningful, mission-driven projects in a collaborative environment with opportunities for autonomy, growth, and leadership. Responsibilities: Modernize and refactor legacy systems for scalability and performance. Design and implement new features and integrations. Work across the stack, focusing on .NET and diverse modern technologies. Solve complex technical challenges and ensure high code quality. Collaborate with stakeholders to align solutions with business goals. Qualifications: Experience with cloud platforms (AWS, Azure, or GCP), containerization, and database optimization. Strong problem-solving and system design skills. Prime Team Partners is an equal opportunity employer. Prime Team Partners does not discriminate on the basis of race, color, religion, national origin, pregnancy status, gender, age, marital status, disability, medical condition, sexual orientation, or any other characteristics protected by applicable state or federal civil rights laws. For contract positions, hired candidates will be employed by Prime Team for the duration of the contract period and be eligible for our company benefits. Benefits include medical, dental and vision. Employees are covered at 75%. We offer a 401K after 6 months, we do not provide paid holidays or PTO, sick time is offered in accordance with local laws. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionInformation Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Prime Team Partners by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Software Engineer" roles. Seattle, WA $99,000.00-$124,200.00 3 days ago Seattle, WA $99,500.00-$200,000.00 1 day ago Redmond, WA $84,200.00-$180,400.00 6 days ago Seattle, WA $99,500.00-$200,000.00 1 day ago Front End Software Engineering II, Slack Seattle, WA $157,600.00-$236,500.00 2 days ago Seattle, WA $100,000.00-$720,000.00 4 days ago Seattle, WA $117,760.00-$147,200.00 1 week ago Seattle, WA $140,000.00-$180,000.00 1 month ago Seattle, WA $110,400.00-$138,000.00 2 days ago Seattle, WA $90,000.00-$170,000.00 3 days ago Software Engineer, Research Infrastructure (University Grad) Seattle, WA $140,000.00-$180,000.00 1 month ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Seattle, WA $99,500.00-$200,000.00 2 weeks ago Software Development Engineer - 2025 (US) Seattle, WA $99,500.00-$200,000.00 1 week ago Redmond, WA $99,500.00-$200,000.00 3 days ago Seattle, WA $150,000.00-$158,000.00 7 hours ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Seattle, WA $150,500.00-$269,200.00 2 weeks ago Seattle, WA $90,000.00-$180,000.00 1 week ago Seattle, WA $98,900.00-$228,700.00 1 week ago Seattle, WA $150,000.00-$175,000.00 2 months ago Bellevue, WA $157,000.00-$230,000. hours ago Seattle, WA $91,158.00-$139,222.66 1 week ago Seattle, WA $140,000.00-$180,000.00 1 month ago Redmond, WA $100,600.00-$215,400.00 2 days ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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 agents. 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.
04/04/2026
Full time
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 agents. 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.
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
Join to apply for the Staff Software Engineer role at Xometry 1 day ago Be among the first 25 applicants Join to apply for the Staff Software Engineer role at Xometry Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a Staff Software Engineer to join our Xometry Partner Experience Technology Organization. In this role as a senior individual contributor, you will guide software implementation across several engineering teams and influence decisions across our technology organization. You will bring deep expertise and technical leadership to help us build fast, reliable, and intuitive solutions that empower our partners - enabling them to more easily manage jobs, streamline operations, and maximize their growth potential within our manufacturing marketplace. Responsibilities: Hands-On Technical Leadership: Your primary role is writing and reviewing architectural plans for new projects, and then participating in implementation with the team. Guide Innovation: Champion the adoption of a good mix of traditional and cutting-edge technologies and methods. You have the experience to guide us out of "our way" of doing things when needed, and to double down on our existing tech and methods where appropriate. Teaching & Mentorship: You will serve as a mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills. Code Review: You will do code review and mentor others within the organization to perform good code reviews. Operational Excellence: Guarantee the delivery of superior software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines. Collaborative Strategy: Forge strong partnerships with product managers, designers, and company leadership to promote a culture of open communication, good collaboration, and high standards. Qualifications: 7+ years of professional software development experience in a fast-paced, product-driven environment. Marketplace product experience is highly desirable, with an understanding of scaling multi-sided platforms. Strong technical expertise in full-stack development, including: Backend development with Python (services, APIs, data-driven systems). Backend microservices and REST API design using Node.js. Frontend development with React and TypeScript, with a focus on scalable UI design and usability. Experience with AWS is required, including deploying, monitoring, and scaling production workloads. Proven leadership skills, with the ability to set technical direction, mentor engineers across levels, and influence product and business decisions. Excellent communication and collaboration abilities, comfortable engaging with both technical and non-technical stakeholders, from junior ICs to executives. Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Xometry by 2x Get notified about new Staff Software Engineer jobs in Boston, MA . Cambridge, MA $170,000.00-$240,000.00 2 weeks ago Senior Software Engineer, Mission System (Maritime) Quincy, MA $168,000.00-$252,000.00 1 week ago Senior Software Engineer - React NextJS FrontendSenior Software Engineer, Mission System (Maritime) Boston, MA $168,000.00-$252,000.00 2 weeks ago Marlborough, MA $112,800.00-$146,600.00 3 months ago Senior Technical Sourcer - Software Engineering (Contract)Ada Developer - Principal Software Engineer Tewksbury, MA $101,000.00-$203,000.00 1 week ago Senior Systems Engineer - Ethernet Switches and Software Wilmington, MA $125,250.00-$187,875.00 1 day ago Senior Flight Software Engineer, Maritime Division Boston, MA $168,000.00-$252,000.00 2 weeks ago Senior Flight Software Engineer, Maritime Division Quincy, MA $168,000.00-$252,000.00 2 weeks ago Boston, MA $174,000.00-$247,000.00 2 months ago Senior Frontend Software Engineer - Checkout Boston, MA $125,000.00-$165,000.00 6 months ago Somerville, MA $138,000.00-$159,000.00 4 months ago Greater Boston $230,000.00-$260,000.00 2 weeks ago Newton, MA $119,000.00-$165,000.00 2 days ago Boston, MA $170,000.00-$200,000.00 5 months ago Boston, MA $140,000.00-$190,000.00 8 months ago Boston, MA $100,000.00-$200,000.00 6 months ago Boston, MA $130,000.00-$300,000.00 2 weeks ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/04/2026
Full time
Join to apply for the Staff Software Engineer role at Xometry 1 day ago Be among the first 25 applicants Join to apply for the Staff Software Engineer role at Xometry Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a Staff Software Engineer to join our Xometry Partner Experience Technology Organization. In this role as a senior individual contributor, you will guide software implementation across several engineering teams and influence decisions across our technology organization. You will bring deep expertise and technical leadership to help us build fast, reliable, and intuitive solutions that empower our partners - enabling them to more easily manage jobs, streamline operations, and maximize their growth potential within our manufacturing marketplace. Responsibilities: Hands-On Technical Leadership: Your primary role is writing and reviewing architectural plans for new projects, and then participating in implementation with the team. Guide Innovation: Champion the adoption of a good mix of traditional and cutting-edge technologies and methods. You have the experience to guide us out of "our way" of doing things when needed, and to double down on our existing tech and methods where appropriate. Teaching & Mentorship: You will serve as a mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills. Code Review: You will do code review and mentor others within the organization to perform good code reviews. Operational Excellence: Guarantee the delivery of superior software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines. Collaborative Strategy: Forge strong partnerships with product managers, designers, and company leadership to promote a culture of open communication, good collaboration, and high standards. Qualifications: 7+ years of professional software development experience in a fast-paced, product-driven environment. Marketplace product experience is highly desirable, with an understanding of scaling multi-sided platforms. Strong technical expertise in full-stack development, including: Backend development with Python (services, APIs, data-driven systems). Backend microservices and REST API design using Node.js. Frontend development with React and TypeScript, with a focus on scalable UI design and usability. Experience with AWS is required, including deploying, monitoring, and scaling production workloads. Proven leadership skills, with the ability to set technical direction, mentor engineers across levels, and influence product and business decisions. Excellent communication and collaboration abilities, comfortable engaging with both technical and non-technical stakeholders, from junior ICs to executives. Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Xometry by 2x Get notified about new Staff Software Engineer jobs in Boston, MA . Cambridge, MA $170,000.00-$240,000.00 2 weeks ago Senior Software Engineer, Mission System (Maritime) Quincy, MA $168,000.00-$252,000.00 1 week ago Senior Software Engineer - React NextJS FrontendSenior Software Engineer, Mission System (Maritime) Boston, MA $168,000.00-$252,000.00 2 weeks ago Marlborough, MA $112,800.00-$146,600.00 3 months ago Senior Technical Sourcer - Software Engineering (Contract)Ada Developer - Principal Software Engineer Tewksbury, MA $101,000.00-$203,000.00 1 week ago Senior Systems Engineer - Ethernet Switches and Software Wilmington, MA $125,250.00-$187,875.00 1 day ago Senior Flight Software Engineer, Maritime Division Boston, MA $168,000.00-$252,000.00 2 weeks ago Senior Flight Software Engineer, Maritime Division Quincy, MA $168,000.00-$252,000.00 2 weeks ago Boston, MA $174,000.00-$247,000.00 2 months ago Senior Frontend Software Engineer - Checkout Boston, MA $125,000.00-$165,000.00 6 months ago Somerville, MA $138,000.00-$159,000.00 4 months ago Greater Boston $230,000.00-$260,000.00 2 weeks ago Newton, MA $119,000.00-$165,000.00 2 days ago Boston, MA $170,000.00-$200,000.00 5 months ago Boston, MA $140,000.00-$190,000.00 8 months ago Boston, MA $100,000.00-$200,000.00 6 months ago Boston, MA $130,000.00-$300,000.00 2 weeks ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
People.ai is an AI-powered foundational data platform that helps customers unlock go-to-market success & growth by providing teams with solutions built specifically for their needs. Providing enhanced pipeline visibility, more actionable insights, and a single source of truth for all sales activities. People.ai's unique dataset, consisting of trillions of sales activities, millions of deals, 160 million business contacts, and 69 approved patents related to AI-based business insights, sets the company apart. Companies such as Verizon, Red Hat, and Palo Alto Networks rely on their enterprise-ready, patented AI technology. At People.ai, we believe that people enrich the world around them in countless ways. We believe that the more time they spend applying their creativity, resourcefulness, and critical thinking to activities that matter most in their professional life, the more effective a professional they become. Our team is a diverse, outspoken group of creatives and critical thinkers, hyper-focused on driving change and growth. We embrace "different". We applaud non-traditional career paths. We're inspired by people who have made processes their own. As a Senior Software Engineer on the XCore team, you will work on one of the most impactful projects at People.ai - Forecasting. You will be building and evolving a live product with active daily users, working closely with the business team and customers through discovery and exploration calls. You will have a direct impact on company revenue by defining and delivering features grounded in real customer feedback. Your work will directly influence how customers plan, forecast outcomes, and make critical business decisions. In addition, you will collaborate across Engineering and R&D teams to enhance core Admin Platform services such as authentication, users, settings, and configurations. You will leverage customer insights and data analysis to design and build high-performance, low-latency systems and APIs that scale efficiently while improving our operational costs. We value ownership highly - the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at People.ai, you'll be a part of a highly independent and autonomous team. Since we're building out a robust data layer that needs to be presented elegantly to the end-user, you'll be working with a large array of different technologies and fields. Expect lots of interesting challenges. Responsibilities: Take ownership of projects. From requirements gathering, through design, implementation and testing, to monitoring and maintenance throughout the tech stack. Collaborate within the team, with other engineering teams and cross-functionally to enhance our users' experience. Follow software design and development best practices and promote such practices in the team. Document design choices and operational knowledge to successfully deploy and run services. Ensure code accuracy and efficiency with appropriate test coverage, integration testing and load testing. Ensure robust alerting, dashboards, and runbooks for production services are in place. Requirements: 7+ years of professional experience working on backend systems in an enterprise environment 2+ years experience programming in Python 2.x/3.x or Scala or Java Experience with SOA, microservices, and event-driven architecture Experience with an enterprise-grade stack for scalable web apps, including messaging brokers, in-memory storage, and key-value databases Strong knowledge of TDD, Unit, and automated test paradigms Experience with SQL and RDBMS solutions Experience with containerized applications, Docker, and Kubernetes Possess a DevOps mindset, AWS experience is a plus Experience with LLMs is a plus Experience with large-scale data processing (Spark) is a plus Bachelor's Degree in Computer Science, Computer Engineering, or in a closely related discipline Headquartered in San Francisco, CA, People.ai is backed by Y Combinator and Silicon Valley's top investors, including ICONIQ Capital, Andreessen Horowitz, Lightspeed Venture Partners, Akkadian Ventures, and Mubadala Capital. People.ai is listed in the top 20 percent of Inc 5000 companies, is a regular leader in our key categories on G2, and is on the Forbes list of America's Best Startup Employers. For more information, please visit .
04/04/2026
Full time
People.ai is an AI-powered foundational data platform that helps customers unlock go-to-market success & growth by providing teams with solutions built specifically for their needs. Providing enhanced pipeline visibility, more actionable insights, and a single source of truth for all sales activities. People.ai's unique dataset, consisting of trillions of sales activities, millions of deals, 160 million business contacts, and 69 approved patents related to AI-based business insights, sets the company apart. Companies such as Verizon, Red Hat, and Palo Alto Networks rely on their enterprise-ready, patented AI technology. At People.ai, we believe that people enrich the world around them in countless ways. We believe that the more time they spend applying their creativity, resourcefulness, and critical thinking to activities that matter most in their professional life, the more effective a professional they become. Our team is a diverse, outspoken group of creatives and critical thinkers, hyper-focused on driving change and growth. We embrace "different". We applaud non-traditional career paths. We're inspired by people who have made processes their own. As a Senior Software Engineer on the XCore team, you will work on one of the most impactful projects at People.ai - Forecasting. You will be building and evolving a live product with active daily users, working closely with the business team and customers through discovery and exploration calls. You will have a direct impact on company revenue by defining and delivering features grounded in real customer feedback. Your work will directly influence how customers plan, forecast outcomes, and make critical business decisions. In addition, you will collaborate across Engineering and R&D teams to enhance core Admin Platform services such as authentication, users, settings, and configurations. You will leverage customer insights and data analysis to design and build high-performance, low-latency systems and APIs that scale efficiently while improving our operational costs. We value ownership highly - the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at People.ai, you'll be a part of a highly independent and autonomous team. Since we're building out a robust data layer that needs to be presented elegantly to the end-user, you'll be working with a large array of different technologies and fields. Expect lots of interesting challenges. Responsibilities: Take ownership of projects. From requirements gathering, through design, implementation and testing, to monitoring and maintenance throughout the tech stack. Collaborate within the team, with other engineering teams and cross-functionally to enhance our users' experience. Follow software design and development best practices and promote such practices in the team. Document design choices and operational knowledge to successfully deploy and run services. Ensure code accuracy and efficiency with appropriate test coverage, integration testing and load testing. Ensure robust alerting, dashboards, and runbooks for production services are in place. Requirements: 7+ years of professional experience working on backend systems in an enterprise environment 2+ years experience programming in Python 2.x/3.x or Scala or Java Experience with SOA, microservices, and event-driven architecture Experience with an enterprise-grade stack for scalable web apps, including messaging brokers, in-memory storage, and key-value databases Strong knowledge of TDD, Unit, and automated test paradigms Experience with SQL and RDBMS solutions Experience with containerized applications, Docker, and Kubernetes Possess a DevOps mindset, AWS experience is a plus Experience with LLMs is a plus Experience with large-scale data processing (Spark) is a plus Bachelor's Degree in Computer Science, Computer Engineering, or in a closely related discipline Headquartered in San Francisco, CA, People.ai is backed by Y Combinator and Silicon Valley's top investors, including ICONIQ Capital, Andreessen Horowitz, Lightspeed Venture Partners, Akkadian Ventures, and Mubadala Capital. People.ai is listed in the top 20 percent of Inc 5000 companies, is a regular leader in our key categories on G2, and is on the Forbes list of America's Best Startup Employers. For more information, please visit .
Senior Software Engineer - Notifications Join to apply for the Senior Software Engineer - Notifications role at Discord. Discord is used by over 200 million people every month for many different reasons, and nearly everyone uses it to play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games. We're looking for a highly motivated, mission focused Senior Software Engineer to join the Notifications team at Discord. Notifications are a business critical function for keeping users connected. The notifications squad is a multidisciplinary group that works across user experiences, infrastructure, and machine learning to ensure notifications are high signal and high value at all times. We're looking for a full stack data driven engineer with strong product sense. As a member, you will work in a highly collaborative environment to tackle complex problems on every part of the stack. What You'll Be Doing Improve client device experiences for receiving notifications and tailoring notification preferences Build the platform that enables all other teams in the company to send delightful notifications while delivering maximum value to our users Pair with Machine Learning engineers to optimize global notification signals and quality Maintain a high quality bar for our platform's operational health and client performance Pair with Product and Design leads to find solutions that balance delight, speed of delivery, and impact What You Should Have 5+ years of experience as a Software Engineer Experience in teams operating complex infrastructure or unique product needs Eager to learn new languages and frameworks, and comfortable working across the full stack when needed Worked with teams that had clear metric goals and achieved measurable positive impact on customers Strong product sense and pride in sweating the details of great UX Motivated to help team members succeed, grow, and learn through empathetic feedback Expertise in Python, Typescript, Swift, Kotlin, and/or other languages involved in notifications development Bonus Points Discord user with a deep understanding of core features and flow of Discord communications Previous experience building a notifications orchestration system The US base salary range for this full time position is $196,000 to $220,000 + equity + benefits. Salary ranges are determined by role and level; within the range, individual pay is based on job related skills, experience, and education. Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational, and multiplayer platform that helps people deepen friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away. Inclusion and Accommodation Statement Discord is committed to inclusion and providing reasonable accommodations during the interview process. If you need accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord's collection and usage of personal information during the application and recruitment process.
04/04/2026
Full time
Senior Software Engineer - Notifications Join to apply for the Senior Software Engineer - Notifications role at Discord. Discord is used by over 200 million people every month for many different reasons, and nearly everyone uses it to play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games. We're looking for a highly motivated, mission focused Senior Software Engineer to join the Notifications team at Discord. Notifications are a business critical function for keeping users connected. The notifications squad is a multidisciplinary group that works across user experiences, infrastructure, and machine learning to ensure notifications are high signal and high value at all times. We're looking for a full stack data driven engineer with strong product sense. As a member, you will work in a highly collaborative environment to tackle complex problems on every part of the stack. What You'll Be Doing Improve client device experiences for receiving notifications and tailoring notification preferences Build the platform that enables all other teams in the company to send delightful notifications while delivering maximum value to our users Pair with Machine Learning engineers to optimize global notification signals and quality Maintain a high quality bar for our platform's operational health and client performance Pair with Product and Design leads to find solutions that balance delight, speed of delivery, and impact What You Should Have 5+ years of experience as a Software Engineer Experience in teams operating complex infrastructure or unique product needs Eager to learn new languages and frameworks, and comfortable working across the full stack when needed Worked with teams that had clear metric goals and achieved measurable positive impact on customers Strong product sense and pride in sweating the details of great UX Motivated to help team members succeed, grow, and learn through empathetic feedback Expertise in Python, Typescript, Swift, Kotlin, and/or other languages involved in notifications development Bonus Points Discord user with a deep understanding of core features and flow of Discord communications Previous experience building a notifications orchestration system The US base salary range for this full time position is $196,000 to $220,000 + equity + benefits. Salary ranges are determined by role and level; within the range, individual pay is based on job related skills, experience, and education. Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational, and multiplayer platform that helps people deepen friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away. Inclusion and Accommodation Statement Discord is committed to inclusion and providing reasonable accommodations during the interview process. If you need accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord's collection and usage of personal information during the application and recruitment process.
5 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Project Overview We are developing high-quality training and evaluation datasets to improve how Large Language Models (LLMs) perform on real software engineering problems. The core of this project involves identifying and curating verifiable coding tasks from public GitHub repositories, supported by a human-in-the-loop review process. As a contractor on this project, you will review code written by AI to solve real software tasks. Your feedback will help improve how future AI models learn to write and understand code. Key Responsibilities Review and compare 3-4 model-generated code responses for each task using a structured ranking framework Assess code changes (diffs) for correctness, quality, readability, and performance Provide clear, concise explanations for your ranking decisions Maintain consistency and fairness across all evaluations Identify and document edge cases or unusual model behavior Collaborate with the team to improve evaluation processes and identify improvement areas Required QualificationsProfessional Experience Several years of experience as a software engineer (experience working as a data scientist will not be considered) Minimum 2 years of experience as a full-stack engineer at a leading tech product company (e.g., Google, Shopify, Microsoft, Snowflake, Meta, PayPal, etc.) Note: Experience from contractual or part-time roles will not be considered. Only full-time employment qualifies. Technical Skills Strong understanding of software design, debugging, and engineering best practices Familiarity with code review processes and version control systems Ability to analyze and compare real-world code changes Excellent written communication skills for clearly explaining technical evaluations Preferred Qualifications Degree from a top-ranked university is preferred but not required Experience working with LLM-generated code or AI evaluation projects Background in developer tools or systems automation Exposure to AI research or developer agents Type: Contract (no medical benefits or paid leave) Commitment: 10-20 hours/week, with flexible work hours (partial overlap with Pacific Time) Duration: 1 month (starting next week, with potential for extension) Compensation: $50-$150/hour, based on experience, geography, and skill level About Turing: Turing is one of the world's fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You'll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. If you have strong software engineering expertise and are interested in helping shape the next generation of AI-assisted development tools, we encourage you to apply.
04/04/2026
Full time
5 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Project Overview We are developing high-quality training and evaluation datasets to improve how Large Language Models (LLMs) perform on real software engineering problems. The core of this project involves identifying and curating verifiable coding tasks from public GitHub repositories, supported by a human-in-the-loop review process. As a contractor on this project, you will review code written by AI to solve real software tasks. Your feedback will help improve how future AI models learn to write and understand code. Key Responsibilities Review and compare 3-4 model-generated code responses for each task using a structured ranking framework Assess code changes (diffs) for correctness, quality, readability, and performance Provide clear, concise explanations for your ranking decisions Maintain consistency and fairness across all evaluations Identify and document edge cases or unusual model behavior Collaborate with the team to improve evaluation processes and identify improvement areas Required QualificationsProfessional Experience Several years of experience as a software engineer (experience working as a data scientist will not be considered) Minimum 2 years of experience as a full-stack engineer at a leading tech product company (e.g., Google, Shopify, Microsoft, Snowflake, Meta, PayPal, etc.) Note: Experience from contractual or part-time roles will not be considered. Only full-time employment qualifies. Technical Skills Strong understanding of software design, debugging, and engineering best practices Familiarity with code review processes and version control systems Ability to analyze and compare real-world code changes Excellent written communication skills for clearly explaining technical evaluations Preferred Qualifications Degree from a top-ranked university is preferred but not required Experience working with LLM-generated code or AI evaluation projects Background in developer tools or systems automation Exposure to AI research or developer agents Type: Contract (no medical benefits or paid leave) Commitment: 10-20 hours/week, with flexible work hours (partial overlap with Pacific Time) Duration: 1 month (starting next week, with potential for extension) Compensation: $50-$150/hour, based on experience, geography, and skill level About Turing: Turing is one of the world's fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You'll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. If you have strong software engineering expertise and are interested in helping shape the next generation of AI-assisted development tools, we encourage you to apply.
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
04/04/2026
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
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
Role Details Location:San Francisco, CA. This role is based out of our San Francisco HQ and is not eligible for full-time remote work. Compensation:The annual salary range for this position is $150,000 - $250,000based on levelin addition to equity & benefits About Us At FurtherAI, we're building the next generation of AI agents for the insurance industry - a trillion-dollar market ready for transformation. We've raised a $5M seed round from top investors (YC, Nexus, South Park Commons, Converge) and have grown 10x in revenue this year alone. Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience. Now, we're looking for an exceptional Software Engineer to join our early team and help shape both our product and culture. Why Join Us Rocketship Growth: Post-PMF, with revenue growing at an exceptional pace. Elite Team: Founding team includes ex-Apple AI Research, 4 ex-YC founders, and 6 ex-founders. Engineers have prior experience at Apple, Microsoft, Google, and Amazon. Technical Depth: Work alongside a staff research scientist and a team of 7 engineers solving cutting-edge problems in AI and scalable backend systems. Massive Market Impact: Insurance is the backbone of global commerce - our work reshapes how this industry operates. Founder's Mindset: Perfect fit if you want to own big pieces of the product and possibly start your own company in the future. What You'll Do Build and scale the core product, ensuring performance, reliability, and continuous improvement. Own significant portions of the backend stack in Python. Collaborate directly with founders to set the technical direction. Operate with extreme ownership in a fast-paced, high-output environment. Work in person from our San Francisco office (5 day week) What We're Looking For 5+ years building products. Strong experience with backend systems (Python preferred). Clear communicator - both in person and in writing. Bonus: background in B2B SaaS and 0 - 1 experience Above all: drive, grit, and ownership. If you excel here, other requirements are secondary At FurtherAI, we set a high bar. We're not looking for someone who just wants a job-we're looking for someone who wants to build something transformative. If you thrive in environments where the pace is fast, expectations are high, and the rewards are outsized, you'll love it here.
04/04/2026
Full time
Role Details Location:San Francisco, CA. This role is based out of our San Francisco HQ and is not eligible for full-time remote work. Compensation:The annual salary range for this position is $150,000 - $250,000based on levelin addition to equity & benefits About Us At FurtherAI, we're building the next generation of AI agents for the insurance industry - a trillion-dollar market ready for transformation. We've raised a $5M seed round from top investors (YC, Nexus, South Park Commons, Converge) and have grown 10x in revenue this year alone. Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience. Now, we're looking for an exceptional Software Engineer to join our early team and help shape both our product and culture. Why Join Us Rocketship Growth: Post-PMF, with revenue growing at an exceptional pace. Elite Team: Founding team includes ex-Apple AI Research, 4 ex-YC founders, and 6 ex-founders. Engineers have prior experience at Apple, Microsoft, Google, and Amazon. Technical Depth: Work alongside a staff research scientist and a team of 7 engineers solving cutting-edge problems in AI and scalable backend systems. Massive Market Impact: Insurance is the backbone of global commerce - our work reshapes how this industry operates. Founder's Mindset: Perfect fit if you want to own big pieces of the product and possibly start your own company in the future. What You'll Do Build and scale the core product, ensuring performance, reliability, and continuous improvement. Own significant portions of the backend stack in Python. Collaborate directly with founders to set the technical direction. Operate with extreme ownership in a fast-paced, high-output environment. Work in person from our San Francisco office (5 day week) What We're Looking For 5+ years building products. Strong experience with backend systems (Python preferred). Clear communicator - both in person and in writing. Bonus: background in B2B SaaS and 0 - 1 experience Above all: drive, grit, and ownership. If you excel here, other requirements are secondary At FurtherAI, we set a high bar. We're not looking for someone who just wants a job-we're looking for someone who wants to build something transformative. If you thrive in environments where the pace is fast, expectations are high, and the rewards are outsized, you'll love it here.
Company: One of our consumer AI investments is hiring an ML Infrastructure Engineer. The founding team helped build iconic consumer products at Pinterest, Lyft, Whatnot, Grubhub, and others. We led the Seed round, and the company is finalizing a Series A with another tier-1 VC. Team size: 20+ (and growing) The opportunity: You'll be an early ML Infra hire helping scale training and inference systems that directly power a consumer product. This is a hands-on role with real ownership: reliability, performance, cost, and developer velocity. What you'll do: Build and operate large-scale ML infrastructure for training and inference (GPU compute, orchestration, model serving) Own core systems for data and feature pipelines, model artifacts, experiment tracking, and evaluation Improve observability and reliability across ML and production systems (monitoring, debugging, incident response, SLAs) Drive efficiency across the stack (latency, throughput, cost, capacity planning) Partner closely with researchers/ML engineers/product engineers to unblock shipping Role (key traits): 3+ years building large-scale distributed systems infrastructure; 2+ years building modern ML systems in industry: ML training and inference systems, large-scale distributed infrastructure, GPU-backed compute, Kubernetes and cloud infrastructure, production reliability, Python + a systems language, PyTorch or TensorFlow BSCS or equivalent (MSCS preferred) Strong coding and systems fundamentals (production-grade engineering, not just prototypes) Good fit for this role if you have: Owned production ML training and/or serving infrastructure end-to-end (not just model development) Experience with distributed compute and data systems (scheduler/orchestration, storage, streaming/batch, reliability) Comfort operating systems in production: on-call mindset, instrumentation, performance tuning, cost discipline Built internal platforms that improved ML developer velocity (reusable pipelines, tooling, paved roads) Enjoyed ambiguity while moving quickly with a small team, and you like building "the system" as much as "the model" Not a good fit for this role if you're primarily: Focused on research or model architecture work and don't want to own production systems Looking for a role with minimal on-call/ops responsibilities or limited accountability for reliability Experienced only with notebooks/prototypes and not with production-grade infra and debugging Targeting more specialized scope rather than broad ownership across the ML stack About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Figma, Rubrik, Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, among others. More can be found about us here: And, as full-time, salaried employees of Greylock, we provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide). Please note: We are not recruiting for any roles within Greylock at this time only for openings within our portfolio.
04/04/2026
Full time
Company: One of our consumer AI investments is hiring an ML Infrastructure Engineer. The founding team helped build iconic consumer products at Pinterest, Lyft, Whatnot, Grubhub, and others. We led the Seed round, and the company is finalizing a Series A with another tier-1 VC. Team size: 20+ (and growing) The opportunity: You'll be an early ML Infra hire helping scale training and inference systems that directly power a consumer product. This is a hands-on role with real ownership: reliability, performance, cost, and developer velocity. What you'll do: Build and operate large-scale ML infrastructure for training and inference (GPU compute, orchestration, model serving) Own core systems for data and feature pipelines, model artifacts, experiment tracking, and evaluation Improve observability and reliability across ML and production systems (monitoring, debugging, incident response, SLAs) Drive efficiency across the stack (latency, throughput, cost, capacity planning) Partner closely with researchers/ML engineers/product engineers to unblock shipping Role (key traits): 3+ years building large-scale distributed systems infrastructure; 2+ years building modern ML systems in industry: ML training and inference systems, large-scale distributed infrastructure, GPU-backed compute, Kubernetes and cloud infrastructure, production reliability, Python + a systems language, PyTorch or TensorFlow BSCS or equivalent (MSCS preferred) Strong coding and systems fundamentals (production-grade engineering, not just prototypes) Good fit for this role if you have: Owned production ML training and/or serving infrastructure end-to-end (not just model development) Experience with distributed compute and data systems (scheduler/orchestration, storage, streaming/batch, reliability) Comfort operating systems in production: on-call mindset, instrumentation, performance tuning, cost discipline Built internal platforms that improved ML developer velocity (reusable pipelines, tooling, paved roads) Enjoyed ambiguity while moving quickly with a small team, and you like building "the system" as much as "the model" Not a good fit for this role if you're primarily: Focused on research or model architecture work and don't want to own production systems Looking for a role with minimal on-call/ops responsibilities or limited accountability for reliability Experienced only with notebooks/prototypes and not with production-grade infra and debugging Targeting more specialized scope rather than broad ownership across the ML stack About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Figma, Rubrik, Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, among others. More can be found about us here: And, as full-time, salaried employees of Greylock, we provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide). Please note: We are not recruiting for any roles within Greylock at this time only for openings within our portfolio.
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.
04/04/2026
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.
A leading AI technology firm in San Francisco is seeking a Senior Full-Stack Software Engineer with a strong background in React, TypeScript, and Python. The ideal candidate will have over 5 years of experience and will be responsible for building scalable applications integrating modern AI technologies. This full-time position offers a competitive salary range of $216,200 to $270,250 USD, inclusive of benefits and equity options. The role thrives on collaboration and adaptability within a dynamic team environment.
04/04/2026
Full time
A leading AI technology firm in San Francisco is seeking a Senior Full-Stack Software Engineer with a strong background in React, TypeScript, and Python. The ideal candidate will have over 5 years of experience and will be responsible for building scalable applications integrating modern AI technologies. This full-time position offers a competitive salary range of $216,200 to $270,250 USD, inclusive of benefits and equity options. The role thrives on collaboration and adaptability within a dynamic team environment.
A growing tech company based in San Francisco is seeking a Software Engineer to contribute to product features across the stack. You'll be instrumental in building and maintaining identity and authentication systems, with a focus on collaboration and code quality. Ideal candidates will have 4+ years of experience in software engineering and proficiency with TypeScript and JavaScript. This role offers a chance to impact technical hiring practices.
04/04/2026
Full time
A growing tech company based in San Francisco is seeking a Software Engineer to contribute to product features across the stack. You'll be instrumental in building and maintaining identity and authentication systems, with a focus on collaboration and code quality. Ideal candidates will have 4+ years of experience in software engineering and proficiency with TypeScript and JavaScript. This role offers a chance to impact technical hiring practices.