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Trusted is seeking an experienced nurse for this exciting travel nursing assignment. Trusted has streamlined the travel nursing experience by enabling nurses to apply directly to jobs without the need for recruiters. This unique approach provides more transparency, eliminates pesky calls from recruiters, and puts more money in your pocket. Join the thousands of nurses across the country who have already made the switch to a more modern way to work. Shift: 6:30 AM - 7:00 PM Experience: • 12 months of role experience is required with some in the last 12 months., • Must have at least 24 months of Progressive Care Unit experience., • Experience with Cerner is preferred from any number of months. Requirements: • Candidates must have a Wisconsin license or compact license (required for submission)., • This role will require floating to multiple units, • Local & travel allowed. Candidates living <60 miles from facility will be processed as local., • Flu vaccination required for submission. Religious and medical declinations accepted., • 12 months between Staff at Program: Vaya Workforce Solutions - Marshfield Clinic Health System Pre-employment modules may be required for this role. Please upload any certifications or health documents you have to your profile to expedite your on-boarding process. Additional Details: Required Skills/Experience: Bed Side Shift Reporting (BSSR), utilization of AIDET, and hourly rounding are required for this unit and all RN units. -2 years of RN experience in med/surg and the candidate needs solid PCU foundation for success in role in blended unit. There will be occasional ICU/PCU patients on this unit. RN will be required to care for all acuity types. IV therapy/Phlebotomy Peripheral Line Care/Management Starting and maintaining IVs Respiratory Care of Ventilated Patient Nasal Cannula Oxygen administration Oxygen tanks Gastrointestinal Medications Manage Cardiac drips- no titration Titrate Cardiac drips Titrate Vasoactive drips Cardiac Monitoring and Emergency response Interpretation of dysrhythmias Management of dysrhythmias Telemetry -on the unit monitoring Professional Topics and Skills Isolation Precautions Endocrine/Metabolic IV insulin protocols Titration of Insulin drips Work Settings MS/Tele PCU/DOU/IMC/Stepdown Genitourinary/Renal Orthopedics Preferred Skills/Experience: Charge experience preferred Total Joint Replacements* Renal failure* Wound Care/Wound Vac* Use of Rapid Response/Code teams* Manage Vasoactive drips-no titration* PCA* Heparin Protocols* Feeding tube care and management* Tracheostomy care/management* Non-invasive airway management* Chest tubes-Emerson/PleurEvac* External CPAP/BIPAP* High Flow Nasal Cannula (HFNC)* Interpretation of Arterial Blood Gases (ABGs)* Phlebotomy* PICC line management* Accessing/Managing Ports* Arterial line management* Blood Product Administration* Central line care/management* Procedures/Diagnostics/Treatments Performed on Unit: Patient Diagnoses: Medical - Cardiac/Resp Ortho - basic - knees/hips General Surgery Special Procedures/Unit Details: 2 years of RN experience in med/surg and the candidate needs solid PCU foundation for success in role in blended unit. BLS required by start date. There will be occasional ICU/PCU patients on this unit. RN will be required to care for all acuity types. **Barcode scanning must be 95% to be eligible for an extension. Less than 95% could result in a cancel. Types of Patients on Unit: Adults, Geriatrics Equipment Used on Unit: Vents - occasionally Unit/Facility Details: : -Current Driver’s License or Government issued photo ID required. Special Requests: Holiday RTO is not accepted - System policy is that every other holiday is required - Staff will not have to work every day of the holiday Shift & Scheduling: Call required as needed EOW Details: • AUTO OFFER - NO INTERVIEW: This is an auto-offer position. You will likely not interview with the facility prior to receiving an offer. However, an interview can be arranged upon request. All time off requests must be submitted at application. Scheduling requests must be worked out with the manager directly upon starting the assignment. Any offers for this job will require a clear “Yes” or “No” response from the nurse within 24hrs or the offer must be declined. 5 days maximum time off 1 reference from last 12 months (Any reference type) - required for submission 1 reference from any number of months (Manager/Supervisor reference type) - required for submission Proof of identification required for submission Certifications: • BLS (Basic Life Support), • ACLS (Advanced Cardiovascular Life Support) • Skills Checklist: Yes, • References: Yes, • License Type: registered, • License State: WI, • Job Type: Travel, • Nurse/Patient: 1/6, • Shift Type: Day, • Contract Date: Start ASAP, • Expected Length: 15 weeks, • Hours per Shift: 12, • Shifts per Week: 3

Trusted is seeking an experienced nurse for this exciting travel nursing assignment. Trusted has streamlined the travel nursing experience by enabling nurses to apply directly to jobs without the need for recruiters. This unique approach provides more transparency, eliminates pesky calls from recruiters, and puts more money in your pocket. Join the thousands of nurses across the country who have already made the switch to a more modern way to work. Shift: 7:00 PM - 7:30 AM Experience: • 12 months of role experience is required with some in the last 12 months., • Must have at least 24 months of Telemetry Unit experience., • 3 months of experience with Meditech is preferred from any number of months. Requirements: • Candidates must have a Michigan license (required for submission)., • This role will require floating to multiple units, • COVID vaccination required after submission. Declinations not accepted., • 6 months between Staff at Program: Prime Healthcare (Direct) Program - Main Pre-employment modules may be required for this role. Please upload any certifications or health documents you have to your profile to expedite your on-boarding process. Additional Details: Required Credentials: DCI/BVP - For workplace violence prevention, can be completed via Relias, Healthcare Staffing hire or similar - required for onboarding Driver’s License/State ID - or Passport Unit/Facility Details: Flu shot is strongly recommended. 7 days maximum time off 2 references from any number of months (Any reference type) - required for submission Proof of identification required Certifications: • BLS (Basic Life Support), • ACLS (Advanced Cardiovascular Life Support) • Skills Checklist: Yes, • References: Yes, • License Type: registered, • License State: MI, • Job Type: Travel, • Nurse/Patient: – –, • Shift Type: Night, • Contract Date: Start ASAP, • Expected Length: 12 weeks, • Hours per Shift: 12, • Shifts per Week: 3

LanceSoft is seeking a travel nurse RN Med Surg / Telemetry for a travel nursing job in South San Francisco, California. Job Description & Requirements • Specialty: Med Surg / Telemetry, • Discipline: RN, • Start Date: 11/04/2025, • Duration: 13 weeks, • 36 hours per week, • Shift: 12 hours, days, nights, • Weekly pay, • Medical benefits

Aequor Healthcare is seeking a travel nurse RN Cardiac Cath Lab for a travel nursing job in San Francisco, California. Job Description & Requirements • Specialty: Cardiac Cath Lab, • Discipline: RN, • Start Date: 12/02/2025, • Duration: 13 weeks, • 40 hours per week, • Shift: 10 hours, • Employment Type: Travel All positions require at least two proven years experience Aequor Job ID #1675933. Pay package is based on 10 hour shifts and 40 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: Registered Nurse (RN) - Telemetry About Aequor Healthcare Aequor Travel Nursing is a premiere healthcare staffing agency that specializes in placing healthcare travelers in short term contracts throughout the US. Whether you’re a seasoned healthcare professional looking for your next great adventure or just starting out and looking for your first big opportunity, Aequor has the inside track on the top jobs available in today’s healthcare and clinical markets. At Aequor, our top priority is to be the best resource to help you connect with the perfect career opportunity and take the best care of you from the moment we first connect until your last shift is worked. We pride ourselves on always offering top industry competitive pay. We have positions for nationwide covering every single state and ranging from 4 weeks – 26 weeks. Benefits • Weekly pay, • Holiday Pay, • 401k retirement plan, • Referral bonus, • Medical benefits, • Dental benefits, • Vision benefits

Job Description Now Hiring: Chemo-Certified Oncology RN – UCSF (San Francisco, CA) Position: Registered Nurse – Oncology (Chemotherapy Certified) Location: UCSF Medical Center, 505 Parnassus Ave, San Francisco, CA Start Date: October 14, 2025 Assignment Duration: 12 weeks Shift: Night – 3x12-hour shifts (7:00 PM – 7:30 AM) Patient Ratio: 1:4 | Unit Census: 29 patients (33 beds) Pay Rate: $70 per hour Auto Offer Opportunity – Skip the Wait Qualified candidates may receive an auto offer upon submission. If you meet the requirements, you could receive an offer to join UCSF without a lengthy interview process. Submit your documents today for immediate consideration. Position Overview We are seeking an experienced Oncology Registered Nurse (Chemotherapy Certified) to join the inpatient oncology team at UCSF, a leading academic medical center. This role is best suited for RNs with a background in teaching hospitals, proven chemotherapy administration experience, and strong oncology clinical skills. Travel nursing experience is required, though highly qualified first-time travelers will be considered. Minimum Requirements * Active California RN license * BLS (AHA) certification * ONS/ONCC Chemotherapy and Immunotherapy Certification * At least 2 years of recent inpatient oncology experience in an academic medical center * Demonstrated experience administering chemotherapy * Ability to float to other UCSF locations * Previous travel nursing experience Preferred Qualifications * Charge RN experience * Telemetry experience * Bone Marrow Transplant (BMT) and Cellular Therapy experience * Oncology Certified Nurse (OCN) Certification Core Clinical Competencies Infusion and IV Therapy * IV therapy, port access, central and PICC line care * Administration of chemotherapy, hydration, blood products, and biotherapy * Infusion pump management Oncologic and Emergency Care * Management of chemotherapy side effects * Handling of oncologic emergencies including anaphylaxis, sepsis, ATLS, and extravasation * Familiarity with bone marrow transplant procedures and stem cell therapies Chemotherapy Administration * Continuous infusions, IV push, oral chemotherapy * Cytotoxic spill management * Lab result interpretation and patient education Patient Education and Psychosocial Support * Hospice and palliative care, symptom management, advanced directives * Education and support for patients and families General Nursing Procedures * Chest tube care, colostomy, Foley catheter, tracheostomy * Neutropenic and isolation precautions * Telemetry monitoring, wound care, and pain management Common Medications Administered * Antitumor agents, antibiotics, antiemetics * Corticosteroids, Neupogen Patient Population * Leukemia, lymphoma, multiple myeloma * Radiation therapy and total body irradiation Unit and Schedule Details * Schedule: 3x12s, Night shift (7:00 PM – 7:30 AM) * Patient Ratio: 1:4 across all shifts * Unit Size: 33 beds (average daily census: 29) * Float Requirement: Yes, across UCSF sites * Time Off: Up to 2 pre-approved days Why Work at UCSF? UCSF is consistently ranked among the nation's top hospitals and cancer centers. As part of this elite team, you will contribute to advanced oncology care, collaborate with top medical professionals, and gain experience at a world-class institution. Apply today to take advantage of the auto offer opportunity and earn $70/hour at one of the most respected healthcare facilities in the country.

Job DescriptionRN Clinical Nurse II - Rex 4 West: Medical Surgical Stepdown Job ID: 156043 Location: Raleigh, NC Facility/Division: UNC REX Healthcare Status: Full Time Shift: Night Job Job Description Description In addition, this position is also eligible for up to $10,000 in relocation assistance (based on location) and our employee referral program. Learn more about our UNC Rex RN Incentive Program here: -rex-incentive-program Become part of an inclusive organization with over 40,000 teammates, whose mission is to improve the health and well-being of the unique communities we serve. Rex 4 West is a 29-bed telemetry-capable mixed acuity unit. The focus includes post-op care for thoracic and general surgery, cardio patients requiring drip management and treatment of acute CHF exacerbations and unstable angina. It also provides post-catheterization care for patients with TR Bands and femoral approaches, along with other medical conditions. Summary: Provides competent clinical nursing care consistent with professional standards. Reporting and accountable to the Nurse Manager/Director, the Clinical Nurse is responsible for coordinating and delivering patient care utilizing the nursing process in a hospital setting. Responsibilities: 1. Education - Participates in identifying and meeting learning needs of self. Attends education programs based on identified learning needs. With assistance, uses patient education materials relevant to patient population. Assesses readiness to learn of the patient/family/caregivers. Assesses developmental level of patient and factors affecting ability to learn., 2. Evaluation of Care - Identifies expected patient outcomes. Seeks guidance as needed in revision of plan of care. Participates in discussion with members of the interdisciplinary team in evaluation of patient care. Communicates relevant information to promote continuity of care., 3. Implementation - Demonstrates competence in care of patients with complex problems, including population-appropriate physical, psychosocial, educational and safety aspects of care. Performs bedside point of care testing as required for patient care plan. Utilizes healthcare organization and nursing standards, policies and procedures in delivery of care. Organizes and prioritizes care according to patient/family needs. Consults with appropriate resources in a timely fashion regarding patients with complex care issues, unusual teaching needs and/or those at high risk for discharge planning., 4. Leadership - With assistance, develops goals to promote professional growth or minimize limitations. Achieves goals and objectives within identified time frame or renegotiates with supervisor. Is knowledgeable about activities which facilitate intra/interdepartmental collaboration. Participates in development and achievement of unit goals and performance improvement activities. Effectively uses communication systems. Participates in promoting cost-effective care. Gives feedback to co-workers. Is aware of public policy and regulatory guidelines affecting the health care environment. Promotes a safe, clean and secure hospital environment for all., 5. Patient Assessment - Recognizes data from complex situations to determine priorities for care. Includes appropriate physical, psychosocial, education and safety needs. Synthesizes assessment data into meaningful whole prior to communication to others. Assesses and anticipates discharge needs of individual patients and families. Develops relationships with families that promote their ability to advocate for the patient and their own needs., 6. Planning - Collaborates with patient/family to prepare or update the plan of care. Makes use of available multidisciplinary resources in planning care. Begins to use full range of communication as a means to convey planning. Identifies and addresses cultural and ethnic issues in planning patient care. Demonstrates ability to prioritize tasks for patients with complex problems., 7. Research - Reads journals that contain studies or articles that may be applicable to practice. Brings ideas and questions to the staff at large for assessment of applicability. Other Information Other information: Education Requirements: _ Graduation from a school of professional nursing. _ If hired after January 6, 2014, must be enrolled within four years of employment, and obtain a Bachelor's degree with a major in Nursing or a Master's degree with a major in Nursing within seven years of employment date. Licensure/Certification Requirements: _ Licensed to practice as a Registered Nurse in the state of North Carolina. _ Basic Life Support (BLS) for Healthcare Provider certification Professional Experience Requirements: _ One (1) year of nursing experience. Knowledge/Skills/and Abilities Requirements: Job Details Legal Employer: NCHEALTH Entity: UNC REX Healthcare Organization Unit: Rex 4 West Work Type: Full Time Standard Hours Per Week: 36.00 Salary Range: $33.88 - $47.91 per hour (Hiring Range) Pay offers are determined by experience and internal equity Work Assignment Type: Onsite Work Schedule: Night Job Location of Job: US:NC:Raleigh Exempt From Overtime: Exempt: No This position is employed by NC Health (Rex Healthcare, Inc., d/b/a NC Health), a private, fully-owned subsidiary of UNC Heath Care System. This is not a State employed position. Qualified applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. UNC Health makes reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as applicants and employees with disabilities. All interested applicants are invited to apply for career opportunities. Please email if you need a reasonable accommodation to search and/or to apply for a career opportunity. Company DescriptionUNC Health is an integrated health care system owned by the state of North Carolina and based in Chapel Hill. UNC Health is committed to empowering health, not just health care. From Magnet recognition to being named one of America's Best Employers by Forbes Magazine, we're proud to say that our hard work is consistently recognized, awarded, and celebrated.UNC Health is an integrated health care system owned by the state of North Carolina and based in Chapel Hill. UNC Health is committed to empowering health, not just health care. From Magnet recognition to being named one of America's Best Employers by Forbes Magazine, we're proud to say that our hard work is consistently recognized, awarded, and celebrated.

Job DescriptionRN Clinical Nurse II- GI Surgery & Surgical Oncology Acute Care Unit/6 Memorial Job ID: 179770 Location: Chapel Hill, NC Facility/Division: UNC Medical Center Status: Full Time Shift: Rotating Job Description Description This position qualifies for our UNC Hospitals RN Incentive Program, which includes up to $20,000 commitment incentive or up to $25,000 tuition loan forgiveness. In addition, this position is also eligible for up to $10,000 in relocation assistance (based on location) and our employee referral program. 6 Memorial is a 28 bed GI Surgery & Surgical Oncology Acute Care unit at UNC Medical Center in Chapel Hill. Our interdisciplinary team provides evidence-based and high-quality care primarily to adult post-surgical patients with weight loss issue, gastrointestinal (GI) cancers, and complex non-cancer GI-related illnesses. Our surgical oncology physician leaders are under the Surgical Oncology Division. This division is affiliated with the Lineberger Comprehensive Cancer Center. These physician leaders are nationally renowned for their expertise in improving colorectal, GI, and endocrine malignancy through clinical excellence, medical education, and research. Similarly, our GI physicians are known for their efforts in enhancing patient care for upper and lower gastrointestinal patients. Lastly, we are recognized nationally as a Bariatric Center for Excellence. Our patient populations require close post-operative observation, occasional remote cardiac telemetry, early aggressive mobilization, pulmonary hygiene, extensive physical therapies, IV, central line/PICC line care, administration of TPN, anticoagulation, oxygen therapy, pain management, blood product administration, intake/output and ostomy care. Additionally, multiple tube/drain care to include, chest tubes, Foley catheters, NG tubes, G-tubes, J-tubes, J/P drains, and rectal tubes. Extensive complex wound management along with multimodal nutritional support is given throughout the course of hospitalization. This is a 36 hours/week position for, with flexible self-scheduling to meet the needs of the staff and the unit and is eligible for an extensive benefit package. Become part of an inclusive organization with over 40,000 teammates, whose mission is to improve the health and well-being of the unique communities we serve. Summary: Provides competent clinical nursing care consistent with professional standards. Reporting and accountable to the Nurse Manager/Director, the Clinical Nurse is responsible for coordinating and delivering patient care utilizing the nursing process in a hospital setting. Responsibilities: 1. Education - Participates in identifying and meeting learning needs of self. Attends education programs based on identified learning needs. With assistance, uses patient education materials relevant to patient population. Assesses readiness to learn of the patient/family/caregivers. Assesses developmental level of patient and factors affecting ability to learn., 2. Evaluation of Care - Identifies expected patient outcomes. Seeks guidance as needed in revision of plan of care. Participates in discussion with members of the interdisciplinary team in evaluation of patient care. Communicates relevant information to promote continuity of care., 3. Implementation - Demonstrates competence in care of patients with complex problems, including population-appropriate physical, psychosocial, educational and safety aspects of care. Performs bedside point of care testing as required for patient care plan. Utilizes healthcare organization and nursing standards, policies and procedures in delivery of care. Organizes and prioritizes care according to patient/family needs. Consults with appropriate resources in a timely fashion regarding patients with complex care issues, unusual teaching needs and/or those at high risk for discharge planning., 4. Leadership - With assistance, develops goals to promote professional growth or minimize limitations. Achieves goals and objectives within identified time frame or renegotiates with supervisor. Is knowledgeable about activities which facilitate intra/interdepartmental collaboration. Participates in development and achievement of unit goals and performance improvement activities. Effectively uses communication systems. Participates in promoting cost-effective care. Gives feedback to co-workers. Is aware of public policy and regulatory guidelines affecting the health care environment. Promotes a safe, clean and secure hospital environment for all., 5. Patient Assessment - Recognizes data from complex situations to determine priorities for care. Includes appropriate physical, psychosocial, education and safety needs. Synthesizes assessment data into meaningful whole prior to communication to others. Assesses and anticipates discharge needs of individual patients and families. Develops relationships with families that promote their ability to advocate for the patient and their own needs., 6. Planning - Collaborates with patient/family to prepare or update the plan of care. Makes use of available multidisciplinary resources in planning care. Begins to use full range of communication as a means to convey planning. Identifies and addresses cultural and ethnic issues in planning patient care. Demonstrates ability to prioritize tasks for patients with complex problems., 7. Research - Reads journals that contain studies or articles that may be applicable to practice. Brings ideas and questions to the staff at large for assessment of applicability. Other Information Other information: Education Requirements: _ Graduation from a school of professional nursing. _ If hired after January 6, 2014, must be enrolled within four years of employment, and obtain a Bachelor's degree with a major in Nursing or a Master's degree with a major in Nursing within seven years of employment date. Licensure/Certification Requirements: _ Licensed to practice as a Registered Nurse in the state of North Carolina. _ Basic Life Support (BLS) for Healthcare Provider certification Professional Experience Requirements: _ One (1) year of nursing experience. Knowledge/Skills/and Abilities Requirements: Job Details Legal Employer: STATE Entity: UNC Medical Center Organization Unit: 6 Memorial Work Type: Full Time Standard Hours Per Week: 36.00 Salary Range: $33.88 - $47.91 per hour (Hiring Range) Pay offers are determined by experience and internal equity Work Assignment Type: Onsite Work Schedule: Rotating Location of Job: US:NC:Chapel Hill Exempt From Overtime: Exempt: No This is a State position employed by UNC Health Care System with UNC Health benefits. If, however, you are presently an employee of another North Carolina agency and currently participate in TSERS or the ORP, you will be eligible to continue participating in those plans at UNC Health. Qualified applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. UNC Health makes reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as applicants and employees with disabilities. All interested applicants are invited to apply for career opportunities. Please email if you need a reasonable accommodation to search and/or to apply for a career opportunity. Company DescriptionUNC Health is an integrated health care system owned by the state of North Carolina and based in Chapel Hill. UNC Health is committed to empowering health, not just health care. From Magnet recognition to being named one of America's Best Employers by Forbes Magazine, we're proud to say that our hard work is consistently recognized, awarded, and celebrated.UNC Health is an integrated health care system owned by the state of North Carolina and based in Chapel Hill. UNC Health is committed to empowering health, not just health care. From Magnet recognition to being named one of America's Best Employers by Forbes Magazine, we're proud to say that our hard work is consistently recognized, awarded, and celebrated.

Provide quality care to patients and their families.Assess, plan, and evaluate care for a complex patient population.Respond to a full range of health and illnesses.Adhere to the Board of Registration in Nursing rules and regulations.Work with dedicated professionals committed to patient-centered ex

The Registered Nurse in the Medical Surgical/Telemetry unit provides direct patient care to individuals with a variety of medical conditions and cardiac issues.This role requires strong clinical skills to monitor and manage patients in a telemetry setting, ensuring their safety and well-being throug

CompHealth Inc. is seeking a travel Occupational Therapist for a travel job in San Francisco, California. Job Description & Requirements • Specialty: Occupational Therapist, • Discipline: Therapy, • Duration: 13 weeks, • Monday - Friday with 3 weekend shifts monthly -- 8-hour day shifts, • Adult inpatient rehabilitation facility treating orthopedic and neurologic cases, • Acute rehabilitation unit with cardiac and general med/surg patients, • Experience required in IRF-PAI and inpatient rehabilitation, • Preferred experience in ICU and telemetry monitoring units, • 16-week assignment, • We provide complimentary housing and travel, • We arrange and cover costs for licensing and malpractice, • We simplify the credentialing and privileging process, • We provide first-day medical insurance and 401(K) CompHealth Inc. Job ID #JOB-3121636. Pay package is based on 8 hour shifts and 40 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: A Facility in California Is Seeking a Traveling Occupational Therapist About CompHealth Inc. CompHealth is a full-service healthcare staffing agency, filling positions for those looking to hire as well as those looking to be hired. After 45 years in the business, we've built a reputation as the premier staffing agency, and our vast network of providers and facilities speaks for itself. With access to specialized teams, our unmatched resources allow us to pay careful attention to the things that matter to you, from the big, hard-to-solve problems to the tiniest details. Offering locum tenens, travel opportunities, permanent hires, telemedicine and more, we’re able to achieve more success from every angle. Benefits • Company provided housing options, • Benefits start day 1, • 401k retirement plan, • Medical benefits, • Dental benefits

An award winning medical center is searching for a strong, experienced Telemetry Assistant Nurse Manager to support join their night shift leadership team. The Telemetry Assistant Nurse Manager will join a well rounded team of healthcare professionals at a community medical center in the bay area. T

Staff ML Engineer Direct Hire Detroit, MI or San Francisco, CA $195K-$295K About the Team: The ML Inference Platform is part of the AI Compute Platforms organization within Infrastructure Platforms. Our team owns the cloud-agnostic, reliable, and cost-efficient platform that powers our client’s AI efforts. We’re proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for our client and their customers. We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the serving of state-of-the-art (SOTA) machine learning models for experimental and bulk inference, with a focus on performance, availability, concurrency, and scalability. We’re committed to maximizing GPU utilization across platforms (B200, H100, A100, and more) while maintaining reliability and cost efficiency. About the Role: We are seeking a Staff ML Infrastructure engineer to help build and scale robust Compute platforms for ML workflows. In this role, you’ll work closely with ML engineers and researchers to ensure efficient model serving and inference in production, for their workflows such as data mining, labeling, model distillation, simulations and more. This is a high-impact opportunity to influence the future of AI infrastructure. You will play a key role in shaping the architecture, roadmap and user-experience of a robust ML inference service supporting real-time, batch, and experimental inference needs. The ideal candidate brings experience in designing distributed systems for ML, strong problem-solving skills, and a product mindset focused on platform usability and reliability. What you’ll be doing: Design and implement core platform backend software components. • Collaborate with ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value., • Lead technical decision-making on model serving strategies, orchestration, caching, model versioning, and auto-scaling mechanisms., • Drive the development of monitoring, observability, and metrics to ensure reliability, performance, and resource optimization of inference services., • Proactively research and integrate state-of-the-art model serving frameworks, hardware accelerators, and distributed computing techniques., • Lead large-scale technical initiatives across ML ecosystem., • Raise the engineering bar through technical leadership, establishing best practices., • Contribute to open-source projects; represent in relevant communities. Minimum Requirements 8+ years of industry experience, with focus on machine learning systems or high-performance backend services. • Expertise in either Go, Python, C++ or other relevant coding languages., • Expertise in ML inference, model serving frameworks (triton, rayserve, vLLM etc)., • Strong communication skills and a proven ability to drive cross-functional initiatives., • Experience working with cloud platforms such as GCP, Azure, or AWS., • Ability to thrive in a dynamic, multi-tasking environment with ever-evolving priorities. Preferred Qualifications Hands-on experience building ML infrastructure platforms for model serving/inference. • Experience working with or designing interfaces, APIs and clients for ML workflows., • Experience with Ray framework, and/or vLLM., • Experience with distributed systems and handling large-scale data processing., • Familiarity with telemetry, and other feedback loops to inform product improvements., • Familiarity with hardware acceleration (GPUs) and optimizations for inference workloads., • Contributions to open-source ML serving frameworks. The compensation range for this position is $195,000 to $295,000 (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). *Note: Disclosure as required by the Equal Pay for Equal Work Act (CO), NYC Pay Transparency Law, and sb5761 (WA) Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law. For consideration, please forward your resume to If you require assistance or an accommodation in the application or employment process, please contact us at . Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at ww.synergishr.com.

Job DescriptionOrbital Sidekick (OSK) is revolutionizing how the world understands and interacts with our planet. We are the leading hyperspectral satellite data and analytics company building the most advanced space-based infrastructure and proprietary "Spectral Intelligence™" platform. Our constellation of Global Hyperspectral Observation Satellites (GHOSt™) delivers unparalleled, persistent monitoring capabilities, capturing an unparalleled 500 bands of light to reveal the chemical fingerprints of targets on Earth. We provide actionable insights to critical sectors including Energy, Mining, Agriculture & Forestry, Environmental & Emergency Monitoring, and Defense & Security, helping our clients optimize sustainable operations, mitigate risk, and enhance situational awareness globally. As a Space Operations Engineer (Embedded) in our Payload Engineering Team, you will be working on creating the services to control our Satellites. Reporting directly to our VP of Payload Engineering and working closely with our Analytics, Software and Product Teams, you will help build out the tools, processes and products critical to our customers' success. What you'll do • Model tasking scenarios for a constellation of hyperspectral satellites, • Perform trade studies on orbit positioning and maneuvers to maximize satellite coverage, • Interface with the operations and software team to successfully execute targeted tasking with multiple space-based sensors, • Test operations plans on ground hardware testbeds, and improving ground software test processes, • Work with the OSK product team to deliver high fidelity constellation tasking plans, • Verify and Validate tasking plans and spacecraft health and status, • Troubleshoot and resolve payload on-orbit anomalies and findings, • Optimize camera and optical systems to extract critical insights, • Develop detailed understanding of onboard flight software hardware and software interfaces, • Work with OSK’s algorithm team to implement onboard algorithms to high-bandwidth data-streams, • Develop OSK’s data ingestion and processing capabilities for satellite as well as aerial hyperspectral images, • Work with GPU cores to implement on-the-fly data corrections using a neural network, • Incorporate payload and spacecraft bus command and control schemesWhat you’ll have, • BS in Aerospace/Mechanical/Astronautical engineering or Computer Science, • 3+ years of experience in the Aerospace/Space industry, • Strong skills in C, C++, Linux Operating System on ARM, • Spacecraft operations experience, downloading and uploading spacecraft control parameters, • Ability to code in python for scripting, automation and algorithm integration purposes, • Experience using software APIs to receive and send telemetry data, • Knowledge of embedded communication protocols to control hardware sensors, • Strong skills in data processing pipelines and algorithm runtime optimizationYou'll stand out as a candidate if you have, • MS in Aerospace/Astronautical Engineering or Computer Science, • Familiarity with scalable software solutions, • Health and Status monitoring of software systems, • Firm understanding of optics, optical alignment, and spacecraft control, • Experience with remote sensing data, • Expertise in python and C++ software developmentOrbital Sidekick's compensation packages are determined based on multiple factors including business requirements, experience and location.Orbital Sidekick is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. We are an equal opportunity employer committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, age, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.

Job Description Mill is all about answering a simple question: how can we prevent waste? Less waste can save time, money, energy, maybe even our planet. And there's no better place to start than food. Food waste is one of the most solvable climate problems facing us today. Plus, our trash really stinks. It's gross, heavy, and our least favorite chore. At Mill we are striving to build a better environment for all, as we take on climate and kitchen change. We are seeking an extraordinary Firmware Engineer to lead the vision system development for our next-generation product. You will evaluate SoC and MCU platforms, and develop camera-based AI applications for object detection (either on-device or cloud-based). Collaborating closely with hardware designers, connectivity experts, and system engineers, your work will be crucial in turning innovative concepts into functional prototypes and products. Key Responsibilities • Evaluate, benchmark, and select SoC/MCU platforms suitable for vision workloads and potential cloud integration., • Prototype and deploy vision pipelines: capture raw image frames, perform preprocessing (ISP, color conversions), and manage AI inference models either locally or via cloud services., • Collaborate with hardware teams to select optimal image sensors, lenses, and camera modules for object detection and classification tasks., • Implement low-level drivers (I²C/SPI, GPIO, PWM) and incorporate them into device trees and board-support packages., • Work with other team members to define and implement inter-processor communication protocols (SPI/UART/I²C) for sensor data exchange and system telemetry., • Ensure coexistence of camera subsystems with other embedded peripherals (touchscreen, motors, sensors, connectivity modules) without performance degradation.Required Qualifications, • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related discipline, or equivalent experience., • 5+ years experience in embedded firmware engineering, including at least 3 years focused on camera or vision applications., • Strong proficiency in C/C++ (Linux kernel drivers or RTOS firmware), with knowledge of memory management, DMA, interrupts, and real-time system constraints., • Hands-on experience with camera interfaces: MIPI-CSI-2, USB Video Class (UVC), or parallel RGB; comfortable working with image sensor datasheets, register programming, and sensor configuration., • Familiarity with vision frameworks (OpenCV, TensorRT, TensorFlow Lite, Edge TPU) or cloud-based AI processing platforms (AWS, Azure, Google Cloud); capable of prototyping object detection or segmentation pipelines, profiling performance, and suggesting optimizations., • Solid understanding of I²C, SPI, UART, and GPIO interfaces., • Proven prototyping ability—quickly translating high-level performance targets into functional prototypes and effectively evaluating hardware-software tradeoffs., • Skilled in using logic analyzers, oscilloscopes, and debugging tools (JTAG, GDB) to troubleshoot camera issues., • Excellent communication skills, capable of producing clear documentation, architecture diagrams, and engaging in effective cross-team collaboration.Preferred Skills, • Experience with camera calibration techniques, including lens distortion correction and color-space conversions., • Experience with integrating touchscreen panels (LVDS/DSI/HDMI) and touch controllers (I²C/SPI), and developing responsive user interfaces., • Develop and optimize embedded UI frameworks (e.g., Qt Embedded, LVGL)., • Familiarity with Linux system architectures, cross-compilation, build systems, and kernel module integration., • Experience with OTA firmware updates for MCUs (bootloaders) and SoCs (partition management)., • Previous experience in startups or rapid prototyping environments.

Job Description About the Company Our client is a navigational intelligence company bringing real-time, centimeter-level certainty to any device, anywhere on Earth. With their core technology – the world’s most advanced PNT satellite infrastructure in Low Earth Orbit – Our client will offer a future-proof, backwards-compatible global positioning system optimized for absolute precision, superior power, and robust protection. They are seeking a Staff Flight Software Engineer. You'll serve as a primary contributor to the flight software design, working to shape system interfaces and component interactions. This is a direct hire, permanent placement position for a client of AdAstra Talent Advisors Responsibilities * Develop & Integrate: Implement embedded flight software modules in C++ on RTOS or space-grade frameworks; carry features from concept through flight-ready validation. * System Validation: Plan and execute comprehensive hardware/software integration tests, including fault-injection scenarios and performance benchmarking. * Cross-Functional Collaboration: Partner with hardware engineering, GNC, and operations to define interfaces, manage fault conditions, and implement mitigation workflows. * CCSDS TT&C Integration: Develop and validate CCSDS-compliant Telemetry, Tracking & Command (TT&C) subsystems—implement frame assembly/disassembly, packetization, CRC/error-control coding, and end-to-end link workflows. * Optimization & Reliability: Profile and tune software for CPU, memory, and I/O efficiency; contribute to FDIR logic and scheduler enhancements to maximize on-orbit reliability. * Mentorship & Best Practices: Coach mid-level engineers through design reviews and code walks; promote coding standards, automated testing, and CI/CD pipelines. * Documentation & Tooling: Produce clear technical artifacts - ICDs, test plans, runbooks - and help build digital tools for telemetry analysis and on-orbit diagnostics. Requirements * Experience: 8+ years developing C/C++ embedded software on RTOS or space-grade frameworks (cFS, F', TASTE, etc.). * Integration & Testing: Proven track record executing full-system hardware/software validation and fault-injection test campaigns. * Protocols & Interfaces: Deep expertise with RS-422/485, Ethernet, I2C, or similar communication buses in embedded environments. * Real-Time Systems: Solid understanding of real-time scheduling, FDIR principles, and performance profiling under resource constraints. * Communication: Excellent written and verbal skills for cross-team collaboration and technical documentation. * CCSDS Expertise: Hands-on experience implementing CCSDS Telemetry (TM) and Telecommand (TC) packet standards, including header/payload formats, Virtual Channel multiplexing, and CRC/error-control procedures Preferred Experience * Hands-on experience with on-orbit operations, telemetry analysis, or spacecraft HIL testbeds. * Background in aerospace or other safety-critical industries. * Advanced degree in Computer Science, Electrical Engineering, or related field. Additional * $190K - $230K, Salary may vary with experience * Incentive Equity * Medical, Dental and Vision Insurance * PTO * 401k * U.S. citizenship or lawful permanent residency is required (22 C.F.R. § 120.15 compliance). Equal Opportunity Our client is an equal opportunity employer. They evaluate qualified applicants without regard to race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. About AdAstra AdAstra Talent Advisors is a headhunting and talent advising firm focused on the Climate, Space, and Defense sectors of Hard Tech. We specialize in pairing highly technical and executive talent with some of the world’s leading Hard Tech startups. At AdAstra, we catalyze the innovations that future generations depend on by placing the right people in the right seats. Our dedicated work enables inconceivable technology from Earth, to the stars. And it’s all because of trailblazing talent like you - those driven to do what’s never been done before. We care about long term relationships with both candidates and companies. Even if the role we initially discuss isn’t a perfect fit, it’s likely we’ll have something relevant to share with you in the future. Join us on our journey by following along via LinkedIn! CEO, Seyka Mejeur | LinkedIn profile CTO / COO, Brian Mejeur | LinkedIn profile AdAstra Talent Advisors | LinkedIn profile AdAstra Website

Job DescriptionOrbital Sidekick (OSK) is revolutionizing how the world understands and interacts with our planet. We are the leading hyperspectral satellite data and analytics company building the most advanced space-based infrastructure and proprietary "Spectral Intelligence™" platform. Our constellation of Global Hyperspectral Observation Satellites (GHOSt™) delivers unparalleled, persistent monitoring capabilities, capturing an unparalleled 500 bands of light to reveal the chemical fingerprints of targets on Earth. We provide actionable insights to critical sectors including Energy, Mining, Agriculture & Forestry, Environmental & Emergency Monitoring, and Defense & Security, helping our clients optimize sustainable operations, mitigate risk, and enhance situational awareness globally. As a Senior Ground Software Operations Engineer reporting to our VP of Payload Engineering and working closely with our Analytics and Software teams, you will help build out the tools, processes and products critical to our customer’s success.What you’ll do: • Design software architecture that supports efficient upload and download of tasking and imagery data, • Efficiently model tasking scenarios for a constellation of hyperspectral satellites, • Perform trade studies on orbit positioning and maneuvers to maximize satellite coverage, • Interface with the operations and software team to successfully execute targeted tasking with multiple space-based sensors, • Write and maintain a modeling and simulation codebase that is used by multiple teams, • Work with the OSK product team to deliver a high fidelity constellation tasking tool from simulation to execution, • Develop and tune a scheduling algorithm for a constellation of hyperspectral imaging satellitesWhat you’ll need to succeed:, • BS in Computer Science or Aerospace/Mechanical/Astronautical Engineering, • 5+ years of experience in the Aerospace/Space/Software industry, • Experience in verification of tasking plans and spacecraft health and status, • Strong proficiency in Python and/or C++, • Firm understanding of Linux/Unix Operating System commands for scripting and commanding, • Experience using software APIs to receive and send telemetry data, • Excellent foundations of software architecture, interface design, distributed systems, and testing patterns, • Strong communication skills with other disciplines and engineers Bonus points if you have:, • MS in Computer Science/Aerospace/Astronautical Engineering, • Practitioner-level experience with Cloud Infrastructure (AWS, GCP, etc), • Health and Status monitoring of satellite software systems experience, • Knowledge of orbital mechanics and pointing/control algorithms for spacecraft, • Spacecraft operations experience, downloading and uploading spacecraft control parametersWhat we offer:, • Competitive compensation and equity packages, • Comprehensive health plan including health/dental/vision/wellness, • Disability and Life insurance, • 401K program, • Flexible time off, • Commuter benefits, • Learning and development opportunities, • Monthly stipend for internet/cell phone/office expenses, • Flexible in-office schedule with lunch Tuesday to Thursday in the San Francisco headquarters, • Off-sites and team-building activities

Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About the Role Crusoe Cloud Network Engineering team is looking for an ambitious, experienced team player to join our Network Operations team. Crusoe Cloud Network Engineering Team is responsible for designing, building, and operating the global edge, backbone, and data center network for High-Performance Compute (HPC) Clusters with GPUs. The ideal individual will be highly motivated, self-directed, and have a desire to work on cutting-edge technologies related to the environment. You must possess excellent analytical and communication skills and be a great team player. As a Staff Network Operations Engineer, you will be part of the Network Engineering team. You will be responsible for the operations for Global Crusoe Cloud Network. You will be responsible for ensuring that the network is up through monitoring, applying various break fixes for outages and will be part of the 24/7 oncall. By joining this team, you will gain marketable network operational experiences in edge, backbone, and HPC-based data center networking at a massive scale. A Day in the Life: * Manage, and optimize Crusoe Energy Cloud's global network, including edge, backbone, data center, and public cloud connectivity. * Collaborate with Network Engineering and cross-functional teams including but not limited to Software Infrastructure, and Product, to drive the innovation and evolution of the Crusoe Energy Cloud network. * Lead operational excellence initiatives—developing monitoring, alerting, and self-healing systems to ensure high network availability. * Perform advanced troubleshooting and root cause analysis for incidents, guiding post-mortem reviews and improvements. * Mentor network engineers and establish best practices for incident response, documentation, and operational readiness. * Will be part of a 24/7 Oncall Support for the Crusoe Network. You Will Thrive In This Role If: * 10+ years of related experience building and operating at scale in a production environment. * In-depth knowledge of network protocols including TCP/IP, QoS, BGP, OSPF/IS-IS, EVPN, VXLAN, QoSand MPLS-related technologies like RSVP-TE, LDP, etc. * Good understanding of network monitoring protocols and tools, such as SNMP, IPFIX, Sflow/netflow, and Telemetry. * Experience with tools like Kentik, Arbor, Thousand eyes, Catch point, packet design etc * Familiar with data center network architecture, such as Fat Tree architecture, CLOS, BGP-TE, and peering for edge. * Hands-on experience with major network devices like Mellanox, Cisco, Arista, Juniper, and other mainstream vendors. * Familiar with mainstream commercial switch/router chipsets, such as Broadcom, Barefoot, etc. * Familiarity with technologies like RDMA, Infiniband, and RoCE will be a plus. * In-depth knowledge of public cloud architecture connectivity options to AWS, GCP, Azure, Ali Cloud, OCI, etc. * Good understanding of IPv6 and IPv4-IPv6 coexistence technologies. * Programming/scripting in Python, Ansible, Puppet, Chef, or other languages will be a plus. * Self-motivated, with good communication and writing skills. * Team player and participate in Crusoe Energy Cloud network global on-call rotation. * Bachelor's in Computer Science, Information Science, Engineering, Mathematics, or a related field, or experience equivalent to a Bachelor's degree based on three or more years of work experience Benefits: * Industry competitive pay * Restricted Stock Units in a fast-growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * Pet-friendly offices * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * Company paid commuter benefit; $200 per pay period Compensation Range: Compensation will be paid in the range of $181,000 - $219,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionAbout UsCanary Technologies is changing the game for hotels with modern software powered by Canary's hospitality-specific AI platform. Canary is utilized by 20,000+ hoteliers in 100+ countries to equip hoteliers with the technology they need to work smarter and wow their guests. Major hotel brands such as Wyndham, Marriott, IHG, Four Seasons, Rosewood, and Best Western trust Canary to deliver results. Canary was named a 2024 Deloitte Technology Fast 500™ company, a Most Innovative Company by Fast Company and a HotelTechReport Best Place to Work — and is backed by top Silicon Valley investors like Y Combinator, F-Prime, Brighton Park Capital and Insight Partners. Join us in shaping the future of hospitality! About the Role Canary Technologies is hiring a Senior Product Manager, Mobile to lead and scale our mobile portfolio: our native guest app, the hotel Staff App, and our developer SDKs. You will evolve these products, strengthening their reliability, performance, and usability while expanding capabilities that drive measurable business impact. Partner closely with Design and Engineering to ship best-in-class iOS and Android releases, improve SDK developer experience and documentation, and ensure mobile continues to be a strategic growth lever for Canary. Own outcomes that matter for hotels and guests, balancing usability, performance, and platform constraints.Responsibilities • Steward and scale our mobile portfolio: native guest app, Staff App, and developer SDKs, with a clear multi-quarter roadmap, • Evolve our SDKs to be even easier to adopt, well-documented, versioned, and observable for reliability, • Lead execution on our guest and staff-facing mobile capabilities including authentication, messaging, payments, offline support, and notifications, • Partner with Design and Eng to establish mobile UI patterns, accessibility standards, and performance budgets (startup time, bundle size, battery/CPU), • Set quality bars for mobile releases including telemetry, alerting, and crash-free thresholds; partner with QA to scale automated test coverage, • Collaborate with Platform, Payments, and Integrations teams to unlock mobile-first experiences powered by Canary’s core services, • Drive rollout plans, experimentation, and measurement to improve activation, engagement, retention, and app store ratings, • Champion security, privacy, and compliance across mobile (PII handling, PCI concerns, secure storage, secrets, and transport)Qualifications, • Required Experience, • 6+ years in Product Management with 3+ years working on native mobile apps and/or SDKs, • Proven track record shipping high-quality iOS and/or Android features end-to-end with measurable impact, • Experience defining and delivering developer SDKs or mobile frameworks with strong docs, samples, and semantic versioning, • Familiarity with modern mobile architectures, tooling, and telemetry (e.g., Swift/SwiftUI, Kotlin/Jetpack, Gradle, Xcode, Play Console, TestFlight, Crashlytics), • Technical & Product Acumen, • Strong product sense for mobile UX including performance, accessibility, and offline-first design, • Comfort working through mobile platform constraints such as background execution, push notifications, permissions, and app store policies, • Ability to create clear API contracts, run RFCs with Engineering, and manage deprecation paths, • Data fluency; can instrument event schemas and define KPIs for adoption, stability, and engagement, • Leadership & Communication, • Excellent written and verbal communication with engineers, designers, GTM, and external partners, • Demonstrated success leading cross-functional work in fast-paced environments with high ambiguity, • Customer empathy for hotel staff workflows and guest journeys; can translate insights into mobile-first solutions, • Preferred Qualifications, • Experience in hospitality, travel, or other two-sided marketplaces, • Background in payments and secure mobile data handling (PCI considerations)

Job DescriptionAbout ZiplineDo you want to change the world? Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building, manufacturing and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. From powering Rwanda's national blood delivery network and Ghana's COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, to enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments and consumers. The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Using robotics and autonomy, we are decarbonizing delivery, decreasing road congestion, and reducing fossil fuel consumption and air pollution, while providing equitable access to billions of people and building a more resilient global supply chain.Join Zipline and help us to make good on our promise to build an equitable and more resilient global supply chain for billions of people.About You and The Role As an IT Systems Engineer focused on Endpoint Management, you are both a strategic thinker and a hands-on technical expert. You thrive in environments where automation, scalability, and security converge, and you are passionate about delivering seamless and secure device experiences across diverse platforms. You take pride in owning complex systems and driving their evolution. You don't just deploy tools, you optimize them to deliver powerful, repeatable results. Your scripting abilities are second nature, allowing you to automate everything from software deployments to real-time telemetry and threat monitoring. You bring both creativity and discipline to your work, designing robust workflows that scale with the needs of a global, fast-moving organization. You are a natural collaborator who partners with Security, Compliance, and IT Support teams to build policy-enforced, zero-touch experiences that are both user-friendly and audit-ready. Ultimately, you're not just managing endpoints—you're shaping how people experience technology at work. You care deeply about stability, performance, and security, and you're ready to lead the charge in building a best-in-class endpoint management ecosystem. What You'll Do • Serve as the technical owner of endpoint management across macOS, Windows, Linux, ChromeOS and cloud-hosted servers (AWS)., • Deploy and manage MDM solutions such as Kandji, Jumpcloud, and Intune., • Manage groups of license servers and service nodes running on AWS EC2., • Administer and respond to security alerts via SentinelOne (or comparable EDR platform) to develop real-time monitoring of events, device performance and threats., • Collaborate with Security and Compliance teams to enforce device posture standards (e.g., encryption, patch compliance, OS baselines)., • Experience managing Ubuntu or other Linux distros in desktop or server roles., • Experience with AWS EC2 and managing cloud-based license or utility servers., • Proficiency in scripting and automation using Bash, PowerShell, and Python., • Proven ability to take ownership of systems and drive continuous improvement., • Strong documentation skills and ability to train others in tools or processes., • Experience integrating endpoint tools with identity providers (e.g., Okta, Azure AD).

Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About the Role: At Crusoe, our Site Reliability Engineering team ensures the reliability and scalability of Crusoe’s AI-optimized cloud platform. We’re looking for an SRE with a strong background in distributed systems and hands-on experience with large language models to help us build and operate managed AI services at scale. This role is central to delivering highly available, performant, and cost-efficient AI infrastructure that powers compute-intensive, latency-sensitive workloads for our customers. What You’ll Work On: * Design and operate reliable managed AI services with a focus on serving and scaling LLM workloads * Build automation and reliability tooling to support distributed AI pipelines and inference services * Define, measure, and improve SLIs/SLOs across AI workloads to ensure performance and reliability targets are met * Collaborate with AI, platform, and infrastructure teams to optimize large-scale training and inference clusters * Automate observability by building telemetry and performance tuning strategies for latency-sensitive AI services * Investigate and resolve reliability issues in distributed AI systems using telemetry, logs, and profiling * Contribute to the architecture of next-generation distributed systems purpose-built for AI-first environments What You’ll Bring: * Strong software engineering background — experience building production-grade systems beyond scripting or Bash * Demonstrated experience in distributed systems design and implementation * Hands-on work with large language models (LLMs) or AI/ML infrastructure * SRE mindset and experience (whether or not under the SRE title) including: * Defining and measuring SLIs/SLOs * Building monitoring and observability systems * Driving performance and reliability improvements * Designing fault-tolerant systems and automated testing strategies * Proficiency in at least one modern programming language (Python, Go, Java, C++) * Familiarity with Kubernetes or container orchestration platforms * Strong collaboration and communication skills * Ability to thrive in a fast-paced, mission-driven environment Bonus Points: * Experience scaling inference or training workloads for LLMs Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300 per month Compensation: Compensation will be paid in the range of $204,000 - $247,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role Data is crucial to Whatnot’s mission to bring people together through commerce. As our newest Data Engineer, you’ll build and scale the systems that power data-driven decisions across the company. You’ll work directly with stakeholders across the business – such as product, sales, marketing, finance, and trust teams – to design reliable data architectures, ship resilient pipelines, and create the foundational data products that power Whatnot’s internal and external growth. On any given day, you will: * Own data architecture end-to-end. Define how we capture, model, and serve critical business data—then implement it in production. You’ll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency. * Build mission-critical pipelines. Develop and operate streaming and batch data workflows that process high-volume events across multiple domains—user activity, transactions, experimentation, marketing performance, and operational telemetry—with tight guarantees for latency, completeness, and accuracy. * Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and real-time applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams. * Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable. * Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems. * Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, low-latency data through semantic layers, APIs, and real-time query systems. 👋 You We’ve learned that low ego, a growth mindset, and a bias toward action create outsized impact at Whatnot. You’ll thrive here if you: * Have 3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures. * Can design and implement data models using dimensional, Data Vault, or ledger-style techniques that support analytical and transactional workloads. * Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations). * Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning. * Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows. * Enjoy partnering across disciplines—engineering, product, analytics—to translate messy business requirements into elegant data systems. * Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work. If designing the data backbone that powers Whatnot’s growth, insights, and product innovation excites you, we’d love to meet you. Team members in this role are required to be within commuting distance of our New York City, Los Angeles, Seattle, and San Francisco hubs. 💰Compensation For Full-Time (Salary) US based applicants: $180,000/year to $260,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $180K - $260K

Job DescriptionAbout Us Agtonomy brings intelligent automation to agriculture, turf, and other demanding industries through Physical AI and software services. By partnering with trusted equipment manufacturers, we deliver factory-fit technology that transforms industrial machines into smart, efficient solutions built for safety and performance. Our team combines expertise in technology, product development, and industry knowledge to address critical challenges like labor shortages, sustainability, and productivity. We’re looking for people who want to work in a collaborative, fast-moving environment where their ideas can make a real impact. About the Role Agtonomy’s TechOps team is seeking a hands-on and detail-oriented Senior Robotics Operations Engineer to oversee the performance, reliability, and operational efficiency of our deployed robotic systems. This role is responsible for investigating field issues through deep-dive analysis, building scalable fleet monitoring and automation systems, and managing configuration across hardware and software versions.What You'll Do • Lead root cause analysis of complex field issues using logs, telemetry, and system-level diagnostics., • Design and maintain monitoring infrastructure to detect anomalies and ensure fleet health at scale., • Develop automation tools and scripts to streamline triage, updates, and reporting., • Own configuration management across the fleet, including version control of firmware, parameters, and feature flags., • Collaborate cross-functionally with engineering and operations teams to resolve recurring issues and improve product robustness., • Define KPIs and build dashboards for operational visibility and performance tracking., • Own new site standup from initial site surveys through the delivery of Agtonomy’s autonomous tractors and beginning of operations., • Contribute to a better user experience, from our technology to our documentation and everything in between. What You'll Bring, • 7+ years of experience in robotics operations, system integration, systems engineering, or a similar field., • Proven track record of resolving complex, SLA-affecting issues under tight time constraints, • Strong troubleshooting skills across hardware, firmware, and software layers., • Proficiency in scripting (e.g., Python, Bash) and working with data/log analysis tools., • Experience with Linux-based systems, containerization (e.g., Docker), and cloud platforms (e.g., AWS, GCP)., • Experience with monitoring platforms (e.g., Grafana, Prometheus, or equivalent)., • Familiarity with configuration management systems and OTA update strategies., • Excellent communication and coordination skills across technical and non-technical teams., • A proven track record of enabling customers of autonomous technologies., • Willingness to work on our customers’ schedules and at their locations, when necessary.What Makes You a Strong Fit, • Experience leading incident management for safety-critical or mission-critical systems., • Ability to make customer needs clear to internal stakeholders, • Understanding of the edge cases that make autonomy difficult., • Proven track record of going above and beyond to ensure customer success.

Job Description Upbound is redefining how modern infrastructure is built. As the creators of Crossplane and the pioneers of the Intelligent Control Plane, we are leading the shift toward agentic infrastructure: platforms that reason, adapt, and operate alongside AI-native systems. We're seeking an exceptional Principal Data Engineer to serve as the technical leader for data infrastructure supporting Upbound's current product suite in addition to our AI initiatives and intelligent control plane capabilities. In this role, you'll architect and drive the development of sophisticated data platforms that power AI-driven features. You'll design solutions that leverage control planes and our Marketplace as a knowledge store, building RAG systems and semantic search capabilities that help users discover and implement infrastructure patterns at scale. You'll create data pipelines that process infrastructure telemetry, configuration data, and usage patterns to train models that make our control planes more intelligent and autonomous. This is an opportunity to work at the intersection of cloud-native infrastructure and artificial intelligence, directly impacting how enterprises manage their infrastructure through Upbound's platform. What You'll DoTechnical Leadership & Architecture • Define and drive the technical vision for data platforms that support AI-powered features in Crossplane and Upbound Spaces, • Lead the design of data pipelines that transform infrastructure and data into training datasets for ML models, • Architect vector search and RAG systems that leverage Crossplane Control Planes & Upbound Marketplace as a knowledge store, • Build data infrastructure that processes resources, extensions, and compositions for semantic search, • Establish frameworks for collecting, processing, and analyzing infrastructure configuration data, • Design data pipelines that handle Crossplane-specific data, • Create infrastructure for indexing and searching Upbound Marketplace content, documentation, and community patterns, • Develop metrics and monitoring for AI features integrated with Upbound's control plane architectureProduct Development & Strategy, • Design data systems that power AI agents for infrastructure provisioning & operations, helping users generate and optimize Crossplane compositions, • Create feature engineering platforms that extract signals from control plane operations, resource status, and reconciliation patterns, • Implement data infrastructure for training models that predict infrastructure failures, optimize resource allocation, and suggest configuration improvements, • Drive the development of knowledge graph representations of infrastructure dependencies and relationshipsWhat You'll Bring, • 10+ years of software/data engineering experience with at least 4 years in technical leadership roles, • Proven track record building data platforms that support production systems at scale, • Deep expertise in both traditional data engineering (Spark, Airflow, data lakes) and ML-specific infrastructure (feature stores, model serving), • Experience with vector databases (Pinecone, Weaviate, Qdrant, Milvus, pgvector, Opensearch, ElasticSearch), • Demonstrated experience with LLM applications, including RAG architectures and semantic search implementations, • Understanding of Kubernetes, cloud-native architectures, and infrastructure-as-code principlesTechnical Expertise, • Strong understanding of data requirements for AI/ML systems: training pipelines, feature stores, and inference infrastructure, • Hands-on experience building knowledge bases and semantic search systems for technical documentation and code, • Experience with embedding models for code and technical documentation, • Knowledge of time-series data processing for infrastructure metrics and events, • Understanding of graph databases and their application to infrastructure dependency modelingLeadership Qualities, • Exceptional technical judgment with the ability to navigate both the AI and cloud-native landscapes, • Demonstrate a positive attitude and foster an environment of experimentation and innovation, • Strong ability to translate infrastructure management problems into data engineering solutions, • Passion for making infrastructure management more intelligent and accessible through AI, • Have direct experience with Crossplane and Upbound products, • Experience building AI features for developer tools or infrastructure platforms, • Understanding of enterprise compliance requirements for infrastructure platforms, • Knowledge of policy engines #LI-REMOTE Why Upbound? At Upbound, you'll help shape the systems and strategies that drive predictable, scalable growth in a product-led company embracing usage-based models. If you're excited to build from the ground up, work with cutting-edge cloud technologies, and directly impact how revenue is generated and scaled—this is your seat at the table. About Upbound Upbound is pioneering infrastructure platforms for the Agentic AI Era, serving Fortune 500 companies and platform engineers across more than 100 countries. The company empowers infrastructure and platform teams with Intelligent Control Planes - based on Kubernetes and Crossplane - that provision, operate, and adapt so platforms are ready for both humans and AI agents. Upbound is the creator and primary maintainer of Crossplane, the popular open-source framework for building cloud-native control planes, with over 100 million downloads and adoption by more than 1,000 teams worldwide. A Series B startup backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, Upbound has raised $69M to date. For more information, visit .

Job Description About Us: At Parafin, we’re on a mission to grow small businesses. Small businesses are the backbone of our economy, but traditional banks often don’t have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on. We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners. We’re a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more — all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities. Join us in creating a future where every small business has the financial tools they need. About the Position We are expanding our Partner Engineering team and seeking a Partner Engineer who will serve as a technical counterpart across the entire partnerships lifecycle—from evaluating and designing solutions during sales, through owning integration execution, to post-launch growth and support. This is a customer-facing role - you’ll blend solution architecture, hands-on implementation, debugging, and scale engineering to act as the technical glue between our most strategic partners and internal teams. This role reports to the Partner Engineering Manager. You will leverage your technical expertise to help solve the most difficult partner and product problems and influence Parafin’s product direction. You will play a pivotal role in building out a scalable and best-in-class technical GTM function. Join us and drive Parafin’s growth! What You’ll Be Doing: Define Partner Solutions * Lead technical discovery with partners, evaluating feasibility and driving scoping sessions to define integration approaches across diverse capital partnerships. * Define a best-in-class technical pre-sales strategy and process at Parafin in collaboration with leadership * Develop detailed architectural blueprints and technical documentation for project implementation. * Conduct informative and engaging sessions to showcase our product portfolio, advocating for the most suitable technical solutions for our partners. * Develop and execute proof of concepts to demonstrate feasibility and effectiveness of embedded finance. Own Partner Implementations * Scale technical onboarding with a focus on reducing the time to integrate with Parafin products. This can include owning and building internal or partner-facing tools to streamline onboarding. * Drive the technical implementation of new capital launches from initial planning through partner coordination, issue resolution, comprehensive testing, and final go-live * Act as the central point of contact for identifying and debugging critical technical issues, coordinating prompt resolutions between internal teams and platform partners. Where necessary, provide tailored solutions to meet partners’ integration needs. * Document integration details and processes (internally and for partners), ensuring knowledge transfer and ease of support as our partner portfolio scales. * Be the voice for our partners internally - Capture integration learnings and feedback to influence product roadmap, APIs, and platform improvements. Scale Partner Support /Operations * Provide partner focussed support, monitoring and stability post-launch. * Provide ongoing technical account management post-launch - optimizing integrations, expanding product usage, and monitoring and swiftly resolving integration-related challenges. * Drive tooling & automation to scale repeatable integration patterns. * Work with Product & Platform teams to evolve partner facing assets based on real-world partner needs. * Instrument telemetry, logs, dashboards to monitor partner integrations at scale. * Uphold technical documentation standards across company and be the flag bearer for managing our public facing docs What We’re Searching For: * Must have 5+ years of experience in client-facing technical roles, preferably in solutions engineering, software integration, technical partner support, customer success engineer or technical GTM engineer. * Strong engineering background with fluency in at least 2 programming languages a plus (e.g., Java, Python, JavaScript, etc.) * Excellent communication skills, with the ability to effectively explain complex technical concepts to both technical and non-technical stakeholders, including executives. * Proficiency with integration technologies, such as REST APIs, webhooks, SDKs, data pipelines, and embeddable UI components. * Strong problem-solving skills, with a partner-focused approach. You have a demonstrated background of relentlessly raising the bar for great partner experience. * Great intuition for navigating standard/generalizable vs. custom partner solutions and guiding partners toward the optimal approach that considers both partner needs and engineering resourcing. * Comfortable exploring and navigating Parafin's codebase, particularly with proficiency in React, Scala, and Python. * Proven experience in creating working demos and production applications, showcasing your ability to apply technical skills to practical use cases. * Ability to thrive in a highly ambiguous and fast-paced environment, adapting quickly to evolving requirements and priorities. * Demonstrated passion for helping small businesses grow and succeed, showing genuine dedication to the success of our partners. * Proficiency in crafting clear technical documentation for effective knowledge sharing, troubleshooting, and best practice distribution to internal teams and external partners. Preferred Qualifications: * Knowledge of our industry’s best practices for integration and technical scoping. * Familiarity with SQL preferred * Experience working in Fintech is a plus. What We Offer * Salary Range: $175k - $220k * Equity grant * Medical, dental & vision insurance * Unlimited PTO & work from home flexibility * Commuter benefits * Free lunches * Paid parental leave * 401(k) * Employee assistance program If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

Job DescriptionAbout Zipline Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building the first instant logistics system that serves all humans equally. Leveraging expertise in robotics and autonomy, Zipline designs, builds, and operates a fleet of cutting edge, autonomous delivery drones. We serve tens of millions of people around the world. Joining Zipline's Emerging Talent program as an intern is an opportunity to contribute to our promise of building a system that provides equitable access to critical healthcare supplies for millions of people. We believe that internships are more than just opportunities to learn by watching or doing low level tasks. We expect our interns to take on meaningful work that actively contributes to moving Zipline's mission forward, while learning real-world skills that will serve them in their careers for the long term. Join us, and build the future of logistics with the best humans around! About the Embedded Team Zipline designs and operates the world's largest drone delivery service providing access to critical medical supplies. Leading the way in drone delivery often means exceeding the capabilities of what's available off the shelf, and as a result we need to engineer the majority of our system in-house. Doubling down on the reliability of our systems by writing embedded applications and drivers close to the hardware is a critical path to delivering to people whose lives will be meaningfully affected by smarter, more equitable access! We trust our team, so we'll trust you. We'll help you (and you'll help us) find an area of technical ownership that you can dive deep into to define system requirements, develop creative and simple solutions, and prove with testing and data that your system meets the rigors and edge-cases of real-world deployment. We are a team that is constantly learning to improve our systems, and ourselves, and we can't wait for you to join us! Among our current challenges: • Design and develop a software platform for the new P2 Zip and the world's cutest Droid delivery and dock system, • Scale our flight and distribution center software to allow upwards exponentially more deliveries per day, • Prototype, test, and refine next generation flight and ground systems working alongside our mechanical and electrical engineering teams, • Develop safe software architecture that will be deployed across the world, • Develop perception solutions for any weather and any real world environment Zipline is looking for interns to join our Embedded Systems team to advance our autonomous aircraft and ground systems. In this role, you will work alongside cross-functional partners to develop solutions to some of our trickiest problems. A lot goes into flying vital supplies autonomously, but doing so reliably and at scale is an even bigger challenge. From deploying embedded software to devices across the world, fault response and handling, launching & landing, all the way to integration with our customer's physical & software systems, you will work with and learn from not only some of the most impressive embedded engineers in the field, but from a huge variety of our amazing Zipline team! What You'll Do Embedded interns own a variety of big problems integral to our system! Examples of previous projects included: • Building an RF radio test setup to validate antenna performance of the flight compute at the production end-of-line. Responsibilities include owning the entire system—from RF signal injection, testing, and validation, to developing manufacturing software test suites, integrating with Hardware-in-the-Loop (HIL), and leveraging simulation to model and measure worst-case scenarios., • Develop firmware for a real-time coprocessor that manages high-frequency signals and I/O expansion for the Linux camera subsystem. Own the overall system design, contribute to board design revisions, and validate signal integrity, jitter, and clock alignment., • Building a high data rate voltage and current telemetry system that runs continuously in our RTOS using ADCs, I2C devices and GPIO interrupts. Testing this feature rigorously, deploying it to production globally, building data analysis tools to verify that the feature is working properly, and using this data to root-cause tricky failures to improve the reliability of our systems., • Rapidly iterating on the concept of a new perception system, integrating compute modules and sensor prototypes to fly a proof of concept ASAP and de-risk key aspects of the approach. The minimum internship duration is 10 weeks. Longer internships/co-ops are encouraged but not required. Interns in embedded systems have extended their internship to 4-6 months. A longer tenure multiplies impact, you'll have learned a ton at Zipline in your first several weeks and be able to tackle projects of significant complexity and impact as your internship continues. Embedded interns are encouraged to be on-site for most of the internship. We believe close interaction with team members and hands-on experience with hardware is invaluable to maximize the impact you can have at Zipline! Beyond this we hold a high bar for our interns Apply if any of these apply to you: • Must have at least completed the second year of your Undergraduate studies. Masters and PhD students are also eligible., • Pursuing a degree in Electrical Engineering, Computer Science, or Computer Engineering, • You've designed, built and/or deployed electromechanical systems or robots, inside or outside the classroom., • You're comfortable working in one of C, C++, Python, or Rust, and have developed software for a real time operating system or embedded Linux., • You are comfortable getting feedback so that you can learn to write code that is efficient, easy-to-read, well-tested, has friendly APIs, and incurs minimal technical debt The starting cash range for this internship is $38 - 42/ hour. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, and working location. The total compensation package for each role may also include: a housing stipend; overtime pay; relocation support; paid sick time; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.

Job DescriptionAbout Zipline Zipline's mission is to provide every human on Earth with instant access to vital medical supplies. We believe that where you live should never dictate whether you live. We are at the forefront of a logistics revolution, using autonomous aircraft to deliver just-in-time, life-saving medical supplies at national scale in several countries and expanding around the world. Are you interested in building a system that 500 million people will depend on with their lives? About the Role Field Service Engineers at Zipline are the tip of the spear in identifying and eliminating failure modes across our global operations. You will be the technical authority for your subsystem (Avionics, Ground Systems, Powertrain, or SMI), working across hardware and software boundaries to drive improvements into design, manufacturing, and operational practices. You'll combine hands-on troubleshooting, deep systems knowledge, and cross-functional communication to debug and resolve failures. Whether it's a GPS dropout, a motor burnout, a power spike, or a hinge crack, you'll be responsible for finding it, understanding it, and working with engineering to fix it permanently. This is a high-trust, high-autonomy role for engineers who want to own the health and performance of our hardware in the real world. What You'll DoCore Responsibilities • Own the implementation of design and processes improvements that address field reliability, reduce downtime, and support long-term economic goals, • Investigate field failures by combining data analysis, log review, and physical failure analysis, • Perform root cause analysis using first principles, 5-Whys, and fault tree methods, • Create and lead containment actions, corrective actions, and permanent design/process fixes, • Provide technical leadership during field escalations, with hands-on support as needed, • Build tooling and diagnostics to proactively monitor health of fleet systems, • Influence DFM, DFT, and maintainability for next-generation designs, • Act as the technical bridge between Ops, Engineering, and Manufacturing Avionics • Troubleshoot board-level failures in flight computers, camera modules, radios, GNSS, and networking components, • Work with electrical design and embedded firmware teams to validate root causes, • Use oscilloscopes, logic analyzers, and in-field diagnostics to debug flaky or intermittent issues, • Analyze log data and telemetry for system-wide signal integrity or timing failures, • Drive improvements in EMI resilience, connector reliability, thermal derating, and firmware watchdog handling Ground Systems • Analyze log data and telemetry for system-wide performance and availability metrics, • Develop software and dashboards to analyze large datasets including statistics and model vs. actual analysis: Python is a must., • Root-cause missions that experience off nominal behaviours: hardware failures, intermittent communications, electromagnetic degradation, charging or thermal efficiency, thermal events, • Hands on debug, troubleshooting and root cause analysis of electromechanical hardware issues in the field and in the lab, • Champion the corrective-actions for Ground Systems hardware including design changes, process changes, and detection algorithms and in field containmentPowertrain, • Understand embedded motor control and interactions with higher-level software, proficiency in Python/MATLAB and C/C++ is a must., • Root-cause flights that experience battery or motor hardware issues: hardware failures, intermittent communications, electromagnetic degradation, powertrain efficiency, thermal events, battery capacity, propeller thrust degradation., • Develop software to analyze large datasets including statistics and model vs. actual analysis: Python/MATLAB is a must., • Develop software for automated log review and notification of off-nominal hardware performance., • Champion the corrective-actions for Powertrain hardware including design changes, process changes, and detection algorithms. SMI, • Troubleshoot and root cause structures and mechanism performance issues in flight: structural hardware failures, mechanism wear, damage, & underperformance, and fatigue/life damage., • Develop software and dashboards to track critical flight metrics, analyze large datasets of flight performance, and automated log review and notification. Python is a must., • Work with field and maintenance teams to develop rapid and robust maintenance and inspection procedures that evolve with our understanding of the hardware., • Drive corrective actions for SMI hardware along with design engineers including design changes, process changes, and checkout and detection processes.What You'll Bring, • 2–7 years of experience in field engineering, failure analysis, reliability, or hardware validation, • Degree in Electrical Engineering, Mechanical Engineering, or equivalent experience, • Strong fundamentals in in embedded systems: electrical, mechanical, or electromechanical, • Demonstrated ability to investigate and resolve complex, intermittent field issues, • Familiarity with diagnostic tools: multimeters, oscilloscopes, CAN/serial bus analyzers, thermography, mechanical inspection, etc., • Deep technical knowledge in at least one of: avionics, industrial/mechatronics systems, power electronics, motors, embedded motor control, batteries, carbon-fiber structures, • Strong data fluency; able to analyze large volumes of logs/telemetry using Python, SQL, MATLAB or similar, • Excellent written and verbal communication for cross-functional technical reporting, • Strong systems mindset with a bias for fast iteration, field experimentation, and permanent fixes, • Experience in aerospace, automotive, drones, robotics, or high-reliability industries, • Knowledge of FTA, DFMEA, PFMEA, • Hands-on experience in design validation testing (HALT, thermal shock, vibration), • Familiarity with remote tooling: OTA updates, remote debug, telemetry systems If you're excited by owning tough problems end-to-end—and not just closing tickets—you belong here. What else you need to know This role is an in-person role, based out of our South San Francisco HQ. Must be eligible to work in the US and travel globally as needed. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Job Description Upbound is the company behind Crossplane, the open source project which started the control plane revolution in the cloud native community. Upbound is redefining how modern infrastructure is built. As the creators of Crossplane and the pioneers of the Intelligent Control Plane, we are leading the shift toward agentic infrastructure: platforms that reason, adapt, and operate alongside AI-native systems. We're seeking an exceptional Principal Data Engineer to serve as the technical leader for data infrastructure supporting Upbound's current product suite in addition to our AI initiatives and intelligent control plane capabilities. In this role, you'll architect and drive the development of sophisticated data platforms that power AI-driven features. You'll design solutions that leverage control planes and our Marketplace as a knowledge store, building RAG systems and semantic search capabilities that help users discover and implement infrastructure patterns at scale. You'll create data pipelines that process infrastructure telemetry, configuration data, and usage patterns to train models that make our control planes more intelligent and autonomous. This is an opportunity to work at the intersection of cloud-native infrastructure and artificial intelligence, directly impacting how enterprises manage their infrastructure through Upbound's platform. What You'll DoTechnical Leadership & Architecture • Define and drive the technical vision for data platforms that support AI-powered features in Crossplane and Upbound Spaces, • Lead the design of data pipelines that transform infrastructure and data into training datasets for ML models, • Architect vector search and RAG systems that leverage Crossplane Control Planes & Upbound Marketplace as a knowledge store, • Build data infrastructure that processes resources, extensions, and compositions for semantic search, • Establish frameworks for collecting, processing, and analyzing infrastructure configuration data, • Design data pipelines that handle Crossplane-specific data, • Create infrastructure for indexing and searching Upbound Marketplace content, documentation, and community patterns, • Develop metrics and monitoring for AI features integrated with Upbound's control plane architectureProduct Development & Strategy, • Design data systems that power AI agents for infrastructure provisioning & operations, helping users generate and optimize Crossplane compositions, • Create feature engineering platforms that extract signals from control plane operations, resource status, and reconciliation patterns, • Implement data infrastructure for training models that predict infrastructure failures, optimize resource allocation, and suggest configuration improvements, • Drive the development of knowledge graph representations of infrastructure dependencies and relationshipsWhat You'll Bring, • 10+ years of software/data engineering experience with at least 4 years in technical leadership roles, • Proven track record building data platforms that support production systems at scale, • Deep expertise in both traditional data engineering (Spark, Airflow, data lakes) and ML-specific infrastructure (feature stores, model serving), • Experience with vector databases (Pinecone, Weaviate, Qdrant, Milvus, pgvector, Opensearch, ElasticSearch), • Demonstrated experience with LLM applications, including RAG architectures and semantic search implementations, • Understanding of Kubernetes, cloud-native architectures, and infrastructure-as-code principlesTechnical Expertise, • Strong understanding of data requirements for AI/ML systems: training pipelines, feature stores, and inference infrastructure, • Hands-on experience building knowledge bases and semantic search systems for technical documentation and code, • Experience with embedding models for code and technical documentation, • Knowledge of time-series data processing for infrastructure metrics and events, • Understanding of graph databases and their application to infrastructure dependency modelingLeadership Qualities, • Exceptional technical judgment with the ability to navigate both the AI and cloud-native landscapes, • Demonstrate a positive attitude and foster an environment of experimentation and innovation, • Strong ability to translate infrastructure management problems into data engineering solutions, • Passion for making infrastructure management more intelligent and accessible through AI, • Have direct experience with Crossplane and Upbound products, • Experience building AI features for developer tools or infrastructure platforms, • Understanding of enterprise compliance requirements for infrastructure platforms, • Knowledge of policy engines #LI-REMOTE #LI-REMOTE Why Upbound? At Upbound, you'll help shape the systems and strategies that drive predictable, scalable growth in a product-led company embracing usage-based models. If you're excited to build from the ground up, work with cutting-edge cloud technologies, and directly impact how revenue is generated and scaled—this is your seat at the table. About Upbound Upbound is pioneering infrastructure platforms for the Agentic AI Era, serving Fortune 500 companies and platform engineers across more than 100 countries. The company empowers infrastructure and platform teams with Intelligent Control Planes - based on Kubernetes and Crossplane - that provision, operate, and adapt so platforms are ready for both humans and AI agents. Upbound is the creator and primary maintainer of Crossplane, the popular open-source framework for building cloud-native control planes, with over 100 million downloads and adoption by more than 1,000 teams worldwide. A Series B startup backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, Upbound has raised $69M to date. For more information, visit .

Job DescriptionAbout Zipline Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building the first instant logistics system that serves all humans equally. Leveraging expertise in robotics and autonomy, Zipline designs, builds, and operates a fleet of cutting edge, autonomous delivery drones. We serve tens of millions of people around the world. Joining Zipline's Emerging Talent program as an intern is an opportunity to contribute to our promise of building a system that provides equitable access to critical healthcare supplies for millions of people. We believe that internships are more than just opportunities to learn by watching or doing low level tasks. We expect our interns to take on meaningful work that actively contributes to moving Zipline's mission forward, while learning real-world skills that will serve them in their careers for the long term. Join us, and build the future of logistics with the best humans around! About the Software Integration Team Are you excited about learning how complex software systems come together to power real-world autonomy? At Zipline, we operate the world's largest autonomous delivery network, and our Software Integration team plays a critical role in making sure the software that flies our aircraft works reliably and safely in the real world. As a Software Integration Intern, you'll get hands-on experience at the intersection of robotics, embedded software, and systems engineering. Our team doesn't just write code—we bring together planning, perception, and controls software, and make sure all of it works smoothly on the aircraft, in simulation, and in real operations. You'll help test and integrate features that affect how our autonomous aircraft fly, adapt routes, and respond to unexpected situations. That means working with simulation tools, flight telemetry, and testing infrastructure to ensure new software behaves the way it should before it ever goes into the sky. This internship is a chance to learn how large, safety-critical autonomy systems are built and scaled, while contributing to technology that directly impacts communities around the world. The Role We are seeking a Data Science Intern with an interest in applying technical and engineering skills to real-world problems. The ideal candidate is eager to learn how to use data science and programming to support hardware systems integration and engineering projects. This internship provides the opportunity to work with large datasets, gain exposure to modern data tools, and apply engineering principles to create actionable insights. Familiarity with Python, SQL, and basic software development is helpful, but a strong willingness to learn is most important. What You'll Do • Data Analysis & Modeling: Assist in analyzing datasets from engineering systems, vehicle sensors, and other sources to uncover patterns and support predictive modeling efforts., • Data Visualization: Help design clear and visually appealing charts and dashboards using tools such as Matplotlib, Seaborn, Plotly, or Tableau to communicate findings., • Dashboard Development: Contribute to the creation and maintenance of real-time dashboards that track key metrics and system performance., • Data Engineering: Support data cleaning, preprocessing, and organization tasks to make datasets ready for analysis. Write simple SQL queries and learn how to work with databases., • Machine Learning: Gain exposure to machine learning by assisting with model development and validation for autonomy applications, • Scientific Programming: Learn to apply scientific and engineering programming techniques to develop small data pipelines, automate processes, and run simulations. What You'll Bring • Educational Background: Currently pursuing a Bachelor's or Master's degree in Mechanical Engineering, Mechatronics, Robotics, Electrical Engineering, Computer Science, or a related technical field., • Technical Skills:, • Familiarity with Python for scientific programming (libraries such as NumPy, Pandas, SciPy, Plotly, etc.)., • Basic understanding of SQL for querying and working with data., • Exposure to software development practices (version control with Git, debugging, documentation) is a plus., • Mathematical & Analytical Skills:, • Coursework or experience with statistics, linear algebra, or numerical methods., • Interest in applying engineering and data analysis to solve real-world problems., • Problem-Solving:, • Curiosity and analytical thinking to approach technical challenges., • Ability to learn how to frame engineering problems as data science problems., • Communication Skills:, • Willingness to communicate findings clearly with technical and non-technical teammates., • Strong written and verbal skills for documentation and presentations., • Machine Learning & Data Modeling:, • Familiarity with machine learning concepts or frameworks (e.g., Scikit-learn, TensorFlow, Keras)., • Some experience from coursework, projects, or self-study in building or experimenting with models., • Bonus Qualifications:, • Experience in Robotics/Automation: Prior exposure to robotics systems, automation, or sensor data (through coursework, projects, or clubs) is a plus., • Software Development: Exposure to object-oriented programming (e.g., C++ or Java) is a bonus. The starting cash range for this internship is $44 - 48/ hour. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, and working location. The total compensation package for each role may also include: a housing stipend; overtime pay; relocation support; paid sick time; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.

Job DescriptionAbout Us Vast.ai's cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for the benefit of humanity. We are a growing and highly motivated team dedicated to an ambitious technical plan. Our structure is flat, our ambitions are out‑sized, and leadership is earned by shipping excellence. We seek engineers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of architecture, coding, and communication skills. LOCATION: On-site at our office in San Francisco or Westwood, Los Angeles. About the Role As a Systems Software Engineer, you will work on key performance critical systems such as the daemon which orchestrates every host in our fleet. You will improve the performance, reliability and capability of our infrastructure and containerization technologies including monitoring and telemetry. • Full-time, • Programming: Strong programming skills in at least one language, ideally C++, • Linux and Virtualization: Extensive knowledge of Linux kernel internals, containerization technologies, and virtualization, • Isolation Techniques: Deep understanding of workload and network isolation techniques in multi-tenant environments, • Cloud Security: Experience in securing and hardening cloud infrastructure, particularly in environments with untrusted workloads, • Multi-tenant Security: Strong background in workload and network isolation, network security, and cloud-native security practices, • GPU Security: Experience with GPU programming and an understanding of GPU-specific security concerns.Key Responsibilities, • Expand and extend our GPU cloud daemon, • Design and deploy market-based resource management systems, • Harden code and infrastructure to meet zero‑trust standards, • 15 min - Initial screening (virtual), • 45 min - Quick dive into Vast, systems and architectures (virtual), • 1 hour - LLM-assisted coding assessment (virtual) Vast.ai is hiring across all experience levels with compensation commensurate with background, experience and potential. Benefits • Comprehensive health, dental, vision, and life insurance, • 401(k) with company match, • Meaningful early-stage equity, • Onsite meals, snacks, and close collaboration with founders/tech leaders, • Ambitious, fast-paced startup culture where initiative is rewarded

Job DescriptionAbout Zipline Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building the first instant logistics system that serves all humans equally. Leveraging expertise in robotics and autonomy, Zipline designs, builds, and operates a fleet of cutting edge, autonomous delivery drones. We serve tens of millions of people around the world. Joining Zipline's Emerging Talent program as an intern is an opportunity to contribute to our promise of building a system that provides equitable access to critical healthcare supplies for millions of people. We believe that internships are more than just opportunities to learn by watching or doing low level tasks. We expect our interns to take on meaningful work that actively contributes to moving Zipline's mission forward, while learning real-world skills that will serve them in their careers for the long term. Join us, and build the future of logistics with the best humans around! The Role Does aggressively tackling cross disciplinary projects from early conceptual stages through to full field deployment sound like the way you want to spend your time? Do you eliminate circular discussions by running a test or use your hands-on skills to build a prototype instead of scheduling another meeting? At Zipline, your work is intended for the field, where customers are counting on it every day, so there is no time for ambiguous communication or unrealistic expectations. We need dedicated engineers to burn down risk and improve reliability in our system like their life depends on it– because others' lives do. If you thrive working with a fast-paced and driven team that focuses on only the most important goals, eliminates blockers, and executes with extreme practicality, keep reading! Mechanical Engineers at Zipline go deep in their area of ownership, become experts in the problem domain, define requirements for their systems, rapidly develop creative and simple solutions, and prove with testing that their system meets the rigors and edge-cases of real-world deployment. We are composed of teams that are responsible for everything from the earliest designs of a new system, to creating test and validation strategies, root-causing issues with existing systems, and much more. What You'll Do • Mechanical interns can own a variety of big problems integral to our system! You can expect to:, • Take product and engineering requirements to develop concepts and evaluate tradeoffs for each, • Use 2D and 3D CAD tools to design parts and assemblies based on sound engineering principles, • Use resources creatively to design, build, and test prototypes to gather quick learnings, • Work cross-functionally with other Zipline teams and suppliers to review designs, • Design, build, and run electro-mechanical testers that you develop to prove reliability of critical components, • Evaluate designs and components on a material, element, and fully integrated product level, • Root cause failures and develop a test to replicate the failure mode, • Document your work so that others can easily understand key decisions made, • Examples of previous intern projects include designing, building, testing, and running:, • flexible blind-mate ducting connection between an aircraft and a ground-based cooling station, allowing for aircraft battery temperature regulation during charging and pre-flight preparation, • a service strategy for removing a docked aircraft from a ground station using a custom designed hand cart, complete with an ergonomic study for a range of technician heights and strengths, • a communications tower with integrated antennas and lightning protection meant to relay vital telemetry information from the drone to the operators during flight, • characterization of proposed and delivered materials, and properties (static strength, durability, and dynamic response) of configured structures, • You must have completed at least the second year of your Undergraduate studies. Masters and PhD students are also eligible., • You'll bring solid mechanical engineering fundamentals for sizing parts and integrating into design with minimal help, • You'll bring automation experience from working with actuators and Raspberry Pi's (or similar), • You're well versed in CAD, and have designed multiple projects with it, • You've worked on complex projects that require mechanical, electrical, and software design, • You're quick to change direction when you realize you've made a mistake OR could achieve the same goal in a simpler way, • You bias to action and communicate consistently with your team to ensure everyone is focused on meeting the project goals on time, • You're excited to build on your design skills with brainstorms, design reviews, and failure mode analysis, • You can anticipate, plan and schedule your own work The starting cash range for this internship is $38 - 42/ hour. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, and working location. The total compensation package for each role may also include: a housing stipend; overtime pay; relocation support; paid sick time; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.

Job Description Responsibilities • Assist in the deployment, configuration, and maintenance of Exabeam SIEM solutions to monitor and analyze security events in both IT and OT environments., • Monitor Exabeam alerts and logs to identify potential security threats, anomalies, and operational issues across IT and OT infrastructure., • Triage and investigate security incidents escalated by Level 1 analysts, providing initial analysis and support to determine the nature and severity of the incidents., • Collaborate with IT and OT teams to gather additional context and telemetry data for incident investigation and response., • Escalate complex or high-priority security incidents to Level 3 resources for further analysis and resolution., • Assist in the customization and tuning of Exabeam rules, alerts, and dashboards to improve detection accuracy and reduce false positives., • Participate in regular assessments and audits of Exabeam configurations and policies to ensure compliance with security standards and best practices., • Document incident response procedures, findings, and recommendations for the continuous improvement of IT and OT security operations. Requirements • Bachelor’s degree in computer science, Information Technology, Cybersecurity, or related field, or equivalent work experience., • 2-5 years of prior relevant experience working with Exabeam SIEM platform, or an overall 5 to 10 years of experience., • Basic understanding of IT and OT systems, networks, and protocols., • Strong analytical skills with the ability to analyze and interpret security event data., • Excellent communication and interpersonal skills, with the ability to work effectively in a team environment., • Eagerness to learn and develop skills in cybersecurity and IT/OT security operations., • Relevant certifications such as CompTIA Security+, Certified Information Systems Security Professional (CISSP) are desirable but not mandatory., • Ability to work in a fast-paced environment and adapt to changing priorities and requirements.

Job Description Were hiring a Splunk Observability Consultant to design, implement, and optimise observability solutions for enterprise clients. This is a client-facing consulting role where you'll work across complex environments, helping organisations gain deeper visibility into their systems, improve reliability, and accelerate incident response through the Splunk Observability Cloud suite. You'll collaborate with client engineering, SRE, and platform teams to shape observability strategies, deliver hands-on implementations, and guide clients on best practices in telemetry, monitoring, and performance analytics. Key Responsibilities: • Lead the design and delivery of observability solutions using Splunk Observability Cloud (Infrastructure Monitoring, APM, RUM, Log Observer, and On-Call), • Partner with clients to assess existing observability maturity, define requirements, and recommend improvements, • Implement and integrate Splunk observability tooling with cloud-native and hybrid environments (AWS, Azure, GCP), • Work closely with SRE, DevOps, and Platform Engineering teams to define SLIs/SLOs and enable proactive detection and incident response, • Deliver workshops, documentation, and enablement sessions to upskill client teams and drive adoption, • Collaborate with internal teams to develop and refine observability accelerators, templates, and best practices, • Act as a trusted advisor, providing technical leadership and thought partnership throughout project lifecyclesWhat You Need:, • Strong hands-on experience with Splunk Observability Cloud (or Splunk Enterprise with exposure to modern observability modules), • Solid understanding of observability pillars: logs, metrics, traces, and digital experience monitoring, • Deep knowledge of cloud-native and containerised architectures (Kubernetes, microservices, serverless), • Familiarity with telemetry standards such as OpenTelemetry, • Experience integrating observability into CI/CD pipelines and reliability workflows, • Excellent client-facing and communication skills able to translate technical insights into business value, • Splunk Observability Certifications (e.g. Splunk O11y Certified Admin, Consultant, Architect or Observability Cloud Practitioner) are highly desirable; a willingness to certify if not already qualified is expected, • Previous consulting or professional services experience preferredWhats on Offer:, • Market leading comp package, directly related to personal performance. The more you put in, the more you earn!, • Remote-first with occasional client travel, • Exposure to enterprise-scale observability and reliability transformation projects, • Funded Splunk certifications and ongoing training support, • Comprehensive benefits including healthcare, retirement plans, and unlimited PTO

Job DescriptionAbout Nimble Nimble is a robotics and AI company inventing and scaling autonomous logistics with intelligent robots to enable fast, efficient, and sustainable commerce. We’re developing generalized robot intelligence and building general-purpose mobile manipulator robots, the first in the world capable of performing all core warehouse functions. We've recently closed a $106M Series C funding round at a $1 billion valuation and we're continuing to grow our all-star team. Our mission is to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. Our long-term vision is to invent the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – using next-gen intelligent robotics to deliver faster, more efficient, and more sustainable commerce. We were founded from the AI labs at Stanford and Carnegie Mellon. We’re backed by the World’s most prestigious investors and Nimble’s Board of Directors includes AI and robotics legends like like Marc Raibert (Founder of Boston Dynamics), Fei-Fei Li (Chief Scientist of AI at Google, Director of Stanford’s AI lab), and Sebastian Thrun (Founder of Google X, Waymo, Kitty Hawk, and Udacity)! Join us to leave your mark on the future of robotics, AI, and logistics! Link: Introducing Nimble – Intelligent Fulfillment Robots at Scale Why Join Nimble?At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce. Nimble's Core Values:Be relentlessly resourceful - Challenge the status quo. Make the impossible, possible. Do whatever it takes.Be legendary - Be the best at whatever it is that you do. Leave your mark. Motivate and inspire others.Be humble - Leave your ego behind. Have a growth mindset. Learn and improve yourself every day.Be dependable - Take ownership and deliver. Be loyal to your team and Nimble's mission. Role SummaryYou will be the key development owner for the robot's End-of-Line (EOL) Test system, focusing on maximizing manufacturing throughput and assuring the quality of the final, fully integrated robot. This role is centered on enhancing the automated EOL testing framework and developing advanced kinematic and performance validation tests for the robot's motion and system functions. Key Responsibilities- Automated Framework Ownership: Own the development and optimization of the Robot Calibration Service, focusing on efficiency and test cycle time reduction.- Test Case Implementation: Implement new automated system-level functionality tests for all major robot components (Arm, Mobility, Carriage, Compute), covering module functionality to robot action cycle tests.- High-Speed Data Analysis: Develop judgement logic to process and analyze telemetry data to generate objective PASS/FAIL criteria and comprehensive reports.- Kinematic and Accuracy Testing: Develop and maintain the software for external fixture-based testing and kinematic checks using metrology tools like laser trackers.- Factory SW Deployment Integrity: Manage and refine the factory software deployment process. Essential Qualifications- BS or MS in Computer Science, Robotics, Mechatronics or a related engineering field.- 3+ years of experience in test automation development, with a focus on robotics or integrated electro-mechanical systems in a production environment.- Strong programming skills in Python or Rust for developing automated test scripts and analysis tools. Familiarity with industrial control or robotic middleware (e.g., ROS/ROS2, custom control frameworks).- Proven ability to work with and analyze high-speed sensor data (e.g., torque, force, encoder readings) to assess performance and diagnose system-level issues.- Experience in developing or working with automated functional test stations and knowledge of kinematic calibration techniques. Culture:We embrace challenges and strive to make the impossible possible each day. We’re not in this to do what’s easy or to be mediocre. We want to create something legendary and leave our mark on the world. We’re ambitious, we’re gritty, we’re humble and we’re relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit! Press: Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws. Nimble's Benefits Paid Time OffEnjoy the time you need to travel, rejuvenate, and connect with friends and family. Health InsuranceNimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family. Paid Parental LeaveEnjoy paid bonding time following a birth. Commuter BenefitsTake the stress out of commuting with access to fully-paid parking spots. Referral BonusGet a cash bonus for any friend or colleagues that you refer to us that we end up hiring. 401kContribute towards a 401k for retirement planning. EquityBe an owner in Nimble through our equity program

Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About This Role: At Crusoe Energy Systems, our Site Reliability Engineering team plays a mission-critical role in maintaining the performance and reliability of our AI-optimized cloud infrastructure. The SDN-focused SRE role is responsible for ensuring the availability, performance, and scalability of Crusoe’s cloud networking services, which power compute-intensive, latency-sensitive workloads for AI and HPC use cases. This role directly supports our vertically integrated, sustainable cloud platform by building and optimizing distributed, fault-tolerant networking systems at scale. What You'll Be Working On: In this role, you will build automation and self-healing tools to monitor and maintain Crusoe’s software-defined networking (SDN) infrastructure, which underpins Crusoe Cloud’s edge, backbone, and data center connectivity. You will drive reliability initiatives focused on routing convergence, traffic engineering, policy enforcement, and fault isolation. Collaborating closely with network engineers, you will help implement and maintain high-performance virtualized networking services (e.g., overlays, service meshes, programmable data planes) that support large-scale AI compute clusters. Your responsibilities will also include supporting user-facing networking services with a focus on availability, latency reduction, performance tuning, and adherence to error budgets. You’ll investigate and resolve networking-related incidents using deep telemetry, flow logs, and packet-level analysis, while also partnering with hardware and kernel teams to optimize network stacks, drivers, and control planes. Additionally, you will contribute to the architecture of fault-tolerant, scalable SDN backends tailored for AI-first cloud environments. What You’ll Bring to the Team: * 8+ years of professional experience in SRE, systems, or networking engineering * Hands-on experience with SDN platforms and protocols (e.g., Open vSwitch, ONOS, Tungsten Fabric, Calico, Cilium, EVPN/VXLAN) * Proficiency in a programming language such as Python, Go, or C * Experience with Infrastructure as Code and deployment tooling such as Terraform, Ansible, or Puppet * Deep knowledge of Linux internals with a focus on networking subsystems, kernel modules, and packet scheduling * Familiarity with network protocols such as BGP, OSPF, IS-IS, MPLS, and network virtualization technologies * Strong experience working with containerized workloads and orchestration platforms (e.g., Kubernetes, Docker), particularly around CNI plugins and service networking * Excellent incident response, troubleshooting, and documentation practices * Experience with building and operating managed networking services at scale (AWS VPC, Transit Gateway, GCP VPC, Azure Virtual Network) * Excellent communication skills * Embody the Company values Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300 per month Compensation: Compensation will be paid in the range of $204,000 - $247,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About the Role: Crusoe Developer Experience is a new team charged with fueling the future of Crusoe’s developer muscle. We set the tone for how engineering is done, ensuring that as Crusoe grows, their developer systems and code delivery capacity grow as well. We have a very broad charter that spans the software life cycle from design through coding, testing, and deployment. Our mission is to empower Crusoe engineers to deliver positive change to customers quickly, safely and efficiently. As an early member of the Developer Experience team, you will play a key part in unlocking the potential of Crusoe’s coding ecosystem. At Crusoe, you will be challenged with deep problems such as kernel upgrades as well as broad problems such as establishing first principles around unit testing, code reviews and rollouts. As a member of this team, you will take a key role in contributing to technical direction, communicating a strategic vision, and establishing a company culture of engineering excellence. You will work alongside stakeholders and customers to ensure that our work is aligned with long term company objectives - informing those objectives along the way. You’ll also lead efforts to define the future state of Crusoe’s evolving and rapidly growing software development efforts. A Day In The Life: * Partner with the broader engineering organization to build and define standard practices for how services are operated and observed throughout their lifecycle. * Establish an opinionated, flexible and cost-effective toolchain for delivering customer value at scale. * Fully integrate Crusoe’s developer systems to keep our developers in the flow state, ruthlessly eliminating toil that slows us down. * Immerse yourself in the developer experience so that you can identify and eliminate pain points. * Create libraries, tools, and pre-production environments for vetting service APIs and interactions between microservices. * Unify both internal tooling and vendor services to automate, build efficiency, and optimize security. * Innovate across the development lifecycle from source code, editors, build, CI, CD, platform runtime environments, telemetry, optimizations, monitoring and alerting. * Establish a culture of continuous quality delivery that scales as Crusoe scales. * Work diligently to build quality, efficient systems and processes to increase the impact of engineers around you. You Will Thrive In This Role If You Have: * You have expertise in understanding technical decisions, evaluating tradeoffs, and how these decisions impact individuals who will use what you build to optimize their work. * Are knowledgeable on how to leverage Gitlab to work with multiple repositories or Github. * You have fluent knowledge of industry-standard build tooling, containerization, and open source development tools, libraries, and frameworks. * Have experience working with modern build systems like Buck, Bazel, or others. * Have professional experience working with Kubernetes clusters or Kubernetes in general. * You have an understanding of testing infrastructure. * Experience with DevOps, Site Reliability, Release Engineering, or similar. * Bonus points if you have hands on working experience with Linux image construction - not just kernel but package building. * You have experience in relevant and modern open source programming languages (we use Golang). * You have empathy for building developer and operator workflows and productivity. * You have a passion for staying current on recent industry practices, open source advancements and an efficient developer community. * You like solving complex problems and then automating the solutions. * You enjoy working side-by-side with other top-notch engineers. * You hold either a BS or MS Degree in an Engineering or Analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science) or equivalent experience. Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300 per month Compensation Range Compensation will be paid in the range of $166,000 - $200,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About the Role: We are looking for a highly skilled engineer with deep expertise in building and operating observability platforms at scale. You will design, develop, and run Crusoe’s next-generation observability stack, enabling engineers to understand the internal state of distributed systems through metrics, logs, and traces. Your work will ensure reliability, performance, and actionable insights across Crusoe’s global infrastructure and cloud platform. What You’ll Be Working On: * Designing and operating scalable observability systems (metrics, logging, tracing) across multi-datacenter Kubernetes environments * Architecting end-to-end telemetry pipelines, including ingestion, storage, querying, and visualization * Extending monitoring and alerting with Prometheus, Alertmanager, Thanos/Cortex, Grafana, and OpenTelemetry * Building scalable log collection and processing pipelines with Fluent Bit, Vector, Loki, or ELK/Opensearch stacks * Implementing distributed tracing platforms (Tempo, Jaeger, OpenTelemetry) and integrating with service meshes, load balancers, and APIs * Defining and driving adoption of SLOs, SLIs, and error budgets across services and teams * Automating provisioning and scaling of observability infrastructure with Kubernetes, Terraform, and custom tooling (Go, Python) * Ensuring reliability and cost efficiency of telemetry pipelines while supporting high-volume workloads (AI/ML, HPC clusters, GPU infrastructure) * Embedding security best practices into observability platforms, including RBAC, TLS, secret management, and multi-tenant access controls * Partnering with engineering teams to embed observability into applications, services, and infrastructure * Mentoring engineers and shaping Crusoe’s observability strategy and technical roadmap What You’ll Bring to the Team: * 7+ years of experience in infrastructure or platform engineering, with a focus on observability and monitoring systems * Deep expertise with metrics systems (Prometheus, Thanos, Mimir, Cortex), logging pipelines (Fluent Bit, Vector, Loki, ELK/Opensearch), and tracing platforms (Jaeger, Tempo, OpenTelemetry) * Strong programming skills in Go or Python for automation, operators, and custom integrations * Experience running observability platforms on Kubernetes and operating them at scale across multi-datacenter environments * Proven ability to design, optimize, and scale telemetry pipelines handling high cardinality and high throughput data * Solid understanding of distributed systems, performance engineering, and debugging complex workloads * Familiarity with service meshes, networking, and workload instrumentation (Envoy, Istio, OpenTelemetry SDKs) * Strong collaboration skills and the ability to influence engineering teams to adopt observability best practices Bonus Points: * Contributions to open source observability projects (Prometheus, OpenTelemetry, Grafana, Loki, etc.) * Experience supporting AI/ML or GPU-heavy environments with high observability demands * Knowledge of event-driven or streaming systems (Kafka, NATS, Pulsar) used in telemetry pipelines * Experience implementing cost optimization strategies for large-scale observability platforms * Background in incident response, chaos engineering, and reliability practices Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300 per month Compensation: Compensation will be paid in the range of $166,000 - $201,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description We’re not chasing the next app. We’re engineering the unseen layer — the low-level, rock-solid systems that allow sensitive data to move, sync, and stay secure across devices, distances, and domains no one else dares to touch. Whether it’s a classified sensor grid in the sky or a fully isolated compute cluster in an unmapped orbit, our software makes it all work. Fast. Encrypted. Unfailingly reliable. If that sounds like your kind of codebase, you’re in the right place. The Mission We're hiring a Senior Infrastructure Engineer to lead the development of foundational software and automation systems that support extreme-performance workloads. This role spans from bare-metal provisioning in zero-connectivity environments to high-volume telemetry ingestion and deployment orchestration in constrained, high-risk zones. You’ll be one of the minds behind how secure systems get spun up, scaled, and verified under conditions where "failure" isn’t just a 500 error — it’s a national risk. Your Work Will Include • Writing infrastructure logic from the ground up — including orchestration for environments where no internet or cloud access exists, • Building automation frameworks and tools that support testing, deployment, and verification of distributed systems across unconventional networks, • Designing internal tools for telemetry analysis, code audits, and system hardening, • Developing policy-driven CI/CD flows that can pass rigorous security reviews, • Creating performance harnesses to test against extreme latency, bandwidth, and memory constraints, • Shaping long-term technical strategy across mission systems and deployment platform. Tech Stack You Might Touch • Languages: Go, Rust, Python, C++, Bash, • Infrastructure: Kubernetes, Nomad, Docker, Terraform, Ansible, systemd, • Platforms: Linux (especially hardened), bare-metal deployments, containerized runtimes, • Environments: Air-gapped systems, classified networks, satellite and high-altitude platforms Who Thrives Here This isn’t a DevOps gig in a SaaS org. If you're the kind of engineer who: • Reads RFCs for fun, • Can debug a kernel panic and a bad CI run, • Has opinions about syscall behavior in restricted spaces, • Gets excited by designing systems that could live in orbit …then we want to talk. You’ve likely worked in security-first environments, understand what it means to ship code that must work, and care deeply about reliability and long-term maintainability. Why You’ll Stay • You’ll build tech most people will never know exists — but everyone depends on, • You’ll work with engineers who obsess over the craft, • You’ll never be handed “standard” — your work will define new baselines, • You’ll be part of something with actual impact, not just metrics Requirements Do NOT Apply If You: • Require visa sponsorship (H1B, TN, etc.)., • Have a history of frequent short tenures (job hopping)., • Come from IT consulting firms (Infosys, Wipro, Cognizant, Capgemini, etc.)., • Have fake, misrepresented profiles., • Have NO LinkedIn Profile

Job DescriptionJoin us at Cleric We're building an autonomous AI SRE that helps software engineering teams reliably investigate production incidents. Our agent combines LLMs with tools to understand systems, reason through problems, and take corrective actions - even for issues it hasn't encountered before. Our mission is to let engineers focus on building products, not fighting fires. We're a small team of AI and infrastructure veterans backed by leading AI investors. Cleric is already in production at high scale companies and saving engineers hundreds of hours in investigations. About the role You'll help us scale our AI agent across multiple customer environments. You'll design and implement the infrastructure for agent deployment, execution, evaluation, and learning - creating systems that let us run our agents efficiently and reliably. You'll architect systems to process agent telemetry data, manage our simulation environments, and train our AI agent. This includes building deployment pipelines, scaling mechanisms for handling increased load, and expanding our integrations (observability, cloud provider APIs etc) to suit diverse customer environments. Beyond the technical implementation, you'll also set practical standards in code review, CI and observability to keep quality high while we scale. You'll mentor other engineers, provide technical direction, and ensure we're making pragmatic architectural decisions that balance immediate needs with long-term scalability. You'll have technical autonomy in designing and implementing these systems, working closely with our founding team to expand our platform capabilities while maintaining high engineering standards. What you'll do: * Build and scale our agent platform, evaluation systems, and the web applications where users manage their Cleric deployment * Design agent telemetry pipelines that power our simulation environments and evaluations * Implement monitoring and observability systems to observe platform and agent performance * Create testing frameworks and development patterns to maintain engineering quality * Build APIs, tools, and libraries that help our team ship quickly and reliably * Establish engineering best practices and mentor other engineers as we grow You have: * 6+ years of production software engineering experience * Strong software engineering fundamentals with focus on simplicity and maintainability * Track record of working with data scientists to build high-scale production services * Deep experience with observability tools and practices (Datadog, OpenTelemetry) * Experience with cloud infrastructure (GCP, AWS) and containerization * Extensive experience in Python and at least one high performance language like Java, Scala, Go, or Rust * You've worn the pager and fixed 2AM outages * You challenge assumptions and propose pragmatic solutions * Curiosity and drive to learn new technologies Nice to have: * Experience with LLM-based systems * Hands-on with ML / LLM platform tooling (feature stores, model serving, eval) * Background in building developer platforms * Previous startup experience How we work: * Small teams, big impact: We believe that small teams can deliver great products * Culture matters: We like to give and receive direct feedback and keep the room inclusive * In-person collaboration: We believe in working closely to deliver the best results * AI-first approach: We use AI daily in the way we build and run the company Interview process (you'll meet most of the team via the process) * Intro Call * Discuss your experience, the company, product, and the role * Lightning tech screen (10 mins) to swap ideas on engineering practices. * Software Engineering Session (1 hour) * Collaboratively build an application * Focus on practical software engineering, not algorithm challenges * System Design Session (90 mins) * Work through a system design problem relevant to your daily work * Bar Raiser (60 mins) * Product thinking * Engineering practices Compensation Range: $160K - $220K

Job DescriptionAbout Our Team Chef Robotics is on a mission to accelerate the advent of intelligent machines in the physical world. As the rise of LLMs like ChatGPT has shown, AI has the potential to drive immense change. However, we believe AI’s biggest impact will be in the physical world, given industries like manufacturing, food, and transportation represent 90% of global GDP. We're starting with food, with a goal to put an intelligent robot in every commercial kitchen in the world. We have signed multiple multi-year contracts with various large food companies and we are growing fast. We're backed by investors like Kleiner Perkins, Construct, Bloomberg BETA and Promus Ventures. We have a great team, where you will be surrounded by talented engineers and tech leaders from companies like Cruise, Zoox, Google, Verb Surgical, Tesla, Nuro, Vicarious, Amazon Robotics, Strateos, Built Robotics, Facebook, Plenty, Yelp, and Microsoft. About the Role As a Senior Software Engineer, Generalist at Chef Robotics, you'll play a pivotal role in the design, development, and implementation of software systems across our entire robotics platform. You'll work closely with cross-functional teams including robotics engineers, hardware engineers, and specialists across the tech stack to ensure seamless integration of software components into our food automation systems. This role requires versatility and deep expertise across multiple technical domains, with the ability to contribute to all phases of the software development lifecycle and build comprehensive solutions that power our intelligent food preparation robots.Cross-Functional Software Development • Collaborate with robotics engineers, hardware engineers, and other software engineers across the tech stack to design, develop, and deploy software solutions for food automation robots, • Participate in all phases of the software development lifecycle, including requirements gathering, design, implementation, testing, deployment, and maintenance, • Develop robust, scalable, and maintainable software systems that meet the unique challenges of commercial food production environments, • Implement algorithms for perception, manipulation, motion planning, and control to enable autonomous food preparation behavior, • Work across frontend dashboards, backend APIs, and cloud infrastructure to build comprehensive solutions that integrate with robotics hardware and AI systemsDatabase & Data Pipeline Architecture, • Design and optimize database schemas to support robot operations, telemetry, recipe management, and system analytics, • Implement efficient data pipelines between on-device robotics systems and cloud services, • Create data access layers and APIs that enable seamless integration across multiple subsystems, • Develop real-time data processing systems for robotics telemetry and performance monitoring, • Establish data integrity protocols and backup systems across distributed robotics deploymentsSoftware Performance & Reliability, • Optimize software performance and reliability to meet stringent food safety requirements and operational standards, • Implement fault-tolerant systems with high availability requirements for production food preparation environments, • Conduct thorough testing and validation of software components to ensure functionality, accuracy, and safety in commercial kitchens, • Develop comprehensive monitoring, logging, and alerting systems across the entire software stack, • Create diagnostic tools and performance optimization solutions for operational visibility across all system componentsTechnology Integration & Innovation, • Stay current with emerging technologies and industry trends in autonomous systems, robotics, and food automation technology, • Integrate new sensor data, perception algorithms, and AI/ML components into existing software architecture, • Implement automated deployment pipelines, infrastructure-as-code practices, and modern development workflows, • Develop data pipelines between on-device robotics systems and cloud services for real-time operations, • Contribute to technical architecture decisions and help establish software engineering standards across teamsRequired Qualifications - Technical Expertise, • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience, • 7+ years of professional experience in software development with demonstrated full-stack capabilities, • Proven experience in software development, with a focus on autonomous systems, robotics, or related fields, • Strong proficiency in programming languages such as Python and JavaScript/TypeScript, with emphasis on object-oriented design and development, • Experience with software development tools and frameworks commonly used in robotics and autonomous systems (e.g., ROS, OpenCV, TensorFlow, etc.), • Familiarity with sensor fusion techniques, perception algorithms, and other technologies relevant to autonomous robotics operations, • Advanced understanding of cloud infrastructure and deployment (AWS, GCP, or Azure), • Experience with containerization (Docker) and orchestration (Kubernetes) technologiesLeadership & Domain Knowledge, • Proven experience leading complex, multi-disciplinary software projects from conception to deployment, • Strong background in system architecture design and cross-functional technical decision-making, • Understanding of real-time systems, robotics integration, and high-performance application requirements, • Experience with CI/CD practices, infrastructure-as-code, and production deployment workflows, • Knowledge of secure system design including authentication, authorization, and data protection, • Familiarity with performance optimization across multiple technology stacksPersonal Attributes, • Strong problem-solving skills and the ability to work effectively in a fast-paced startup environment, • Excellent communication skills and ability to clearly articulate technical concepts to cross-functional teams, • Adaptability and comfort working across different technology stacks and problem domains, • Collaborative team player who works effectively with robotics engineers, hardware engineers, and other specialists, • Comfort with working startup-oriented hours and commitment to working onsite five days a week, • Passion for robotics and food automation technology with drive to stay current with emerging technologiesDesired Qualifications, • Experience with robotics systems integration and understanding of ROS or similar frameworks, • Knowledge of real-time communication systems including WebSockets and message queues, • Experience with time-series databases and telemetry data processing, • Background in manufacturing, food production, or industrial automation, • Familiarity with 3D rendering using Three.js or Three Fiber, • Experience with monitoring and observability tools across multiple system components, • Knowledge of AI/ML system integration and deployment workflows, • Startup experience with track record of shipping working products under tight deadlines, • Experience with microservices architecture and distributed systems designKey Projects You'll Work On, • Contributing to end-to-end features that span robotics hardware, perception systems, cloud services, and user interfaces, • Developing software solutions that enable autonomous food preparation behavior across diverse ingredients and recipes, • Implementing comprehensive testing and validation frameworks for software components across the platform, • Building performance optimization and monitoring systems that ensure reliable operation in commercial food environments

Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About This Role: Crusoe Cloud Network Engineering team is looking for an ambitious, experienced team player to join our Network Engineering team. Crusoe Cloud Network Engineering Team is responsible for designing, building, and operating the global edge, backbone, and data center network for High Performance Compute (HPC) Clusters with GPUs. The ideal individual will be highly motivated, self-directed, and desire to work on cutting-edge technologies related to the environment. You must possess excellent analytical and communication skills and be a great team player. As an Automation Network Engineer, you will focus on developing tools and automation solutions to support the scalability and reliability of Crusoe Cloud’s network infrastructure. You will work closely with other engineers and key stakeholders to gather requirements, provide technical input, and translate business needs into effective network tooling. By joining this team, you will gain marketable network engineering experiences in edge, backbone, and HPC-based data center networking on a massive scale. A Day in the Life: * Conceptualize, build, and maintain automation and tools to support New Product Introductions, network deployment, release engineering, and operations * Develop and implement operational process improvements in scalable, automated workflows to enhance operational efficiency * Lead enhancements of automation for continuous integration, validations, testing infrastructure, release, and configuration management across our global backbone, data center, and edge networks * Perform deep dives on complex technical issues across networks, ranging from automated tooling to hardware and network failures * Help increase operational efficiency between peers and cross-functional teams by identifying roadblocks, designing and delivering automation solutions, and driving change * Proactively improve our network infrastructure by designing, developing, and implementing automation solutions/tools * Manage current tooling for network provisioning, configuration, monitoring, and troubleshooting * Improve access to network telemetry data across the Crusoe Datacenters, Backbone, and Edge Networks * Collaborate with various Network Engineering teams to ensure implementation consistency across the entire network * Maintain comprehensive documentation for automation processes, tools, and procedures * Provide mentorship and training to team members, fostering a culture of continuous learning and improvement You Will Thrive In This Role If: * 10+ years of network automation experience within a large-scale environment, building tools and software for production Networks * Solid experience in developing and understanding network device configurations for at least one network vendor (e.g. Arista, Juniper, Cisco, Brocade, Ciena, Infinera, Nokia, etc.) * Experience in at least one programming language (e.g. Python, Go, C++, or Java), and rapidly learning new development languages * Demonstrated knowledge of TCP, IPv4/6, Routing Protocols (one or more of BGP, MPLS, ISIS, or similar), and related network services (e.g. DHCP and DNS) * Experience with software and network debugging, profiling, and instrumentation techniques * Additional experience in developing automation tools for network operations such as provisioning (e.g. ZTP), deployments, monitoring, remediation, and software push systems in a DevOps environment * Experience with developing distributed systems and operating them at scale * Experience designing and maintaining automated testing infrastructure * In-depth knowledge of network protocols including TCP/IP, QoS, BGP, OSPF/IS-IS, EVPN, VXLAN, QoSand MPLS-related technologies like RSVP-TE, LDP, etc * Bachelor's in Computer Science, Information Science, Engineering, Mathematics, or a related field, or experience equivalent to a Bachelor's degree based on three or more years of work experience Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300 per month Compensation Range: Compensation will be paid in the range of $204,000 - $247,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description We are looking for an experienced engineer to help build Omen's “Digital Mechanic” platform—an intelligent diagnostic layer that helps industrial machines monitor and maintain themselves. We combine field-hardened sensor hardware with a modern software stack to surface high-signal insights for industrial machine operators, OEMs, and defense applications. Your work will help heavy equipment speak for itself—and stay mission-ready. • Scale our IoT fleet and lead firmware engineering from 10s of devices to 1000s as well as own future sensor SKUs—bootloader, field-upgrade system, diagnostics, and telemetry., • Build robust and reliable firmware with watchdogs, safe-mode fall-back, OTA rollback, and remote shell/debug tooling, hardened design for long life in the field., • Design and implement observability pipelines that surface device health (power, RF, flash wear, sensor drift) in near-real time., • Define, develop, and support production test fixtures and factory programming flows to guarantee every unit ships with known-good firmware and fully functional hardware., • Partner with Cloud, Embedded, and Mechanical teams to reduce MTTR and maximize fleet uptime; deliver root-cause analysis for field failures., • Create the playbooks, metrics, and dashboards that let us triage thousands of endpoints., • Lead firmware efforts for NPI with scoping, prototyping, and resourcing the development of new technologies., • 5+ years building and shipping production firmware for low power MCUs/System-on-Modules., • On-site experience supporting contract manufacturing production including flashing, test, and quality., • Led the rollout and lifecycle management of a commercial IoT fleet (>5 k devices): staged OTA, remote logging, field metrics, and bricking-proof recovery., • Authored device-side observability frameworks (health beacons, crash dumps, metrics pipelines)., • Implemented secure boot, signed updates, and key management in resource-constrained environments., • Fluent in C/C++, and at least one higher-level language (Python, Go, Rust) for build or test tooling., • Comfortable reading schematics, probing with a scope/logic analyzer, and collaborating with HW teams on DFM and EMC fixes., • Hands-on experience with cellular/LTE-M and/or Wi-Fi connectivity stacks and the quirks of keeping them online in harsh RF conditions., • Proven bias for ownership in ambiguous, fast-changing settings; you dig into data, form a plan, and push it through to production Bonus if you have: • Experience with Zephyr RTOS or Yocto-based Linux., • Knowledge of predictive maintenance or industrial protocols (CAN, Modbus, OPC-UA)., • Contributed to open-source embedded projects., • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Paid Time Off (Vacation, Sick & Public Holidays), • Work From Home, • Free Food & Snacks, • Stock Option Plan

Job Description As a Senior Software Engineer – Edge & Cloud Integration, you will design, implement, and optimize software that runs on the "edge" — onboard companion computers and embedded systems — and connects seamlessly to our cloud services. You'll play a key role in building the next generation of intelligent, connected drone applications that power Auterion's ecosystem, enabling real-time communication, mission planning, and data-driven insights across edge and cloud environments. In this role, you will collaborate with cross-functional teams to bridge the gap between onboard systems and cloud-based infrastructure, ensuring robust data flow, efficient processing, and secure integration between autonomous platforms and distributed services. Responsibilities and Duties • Design, develop, and maintain software that runs on edge devices (e.g., Jetson based companion computers and Auterion Skynode devices) and integrates with cloud-based systems., • Implement reliable, low-latency communication between edge and cloud using REST, gRPC, MQTT, or WebSockets., • Develop and deploy edge applications using C++ and Python on Linux environments., • Build and maintain containerized edge services using Docker and related orchestration tools., • Integrate with cloud APIs and services for device management, telemetry, and data ingestion., • Design and implement real-time or near-real-time data processing pipelines., • Contribute to CI/CD pipelines to automate testing, integration, and deployment of edge and cloud software., • Troubleshoot and optimize low-level Linux services (systemd, networking, process management)., • Collaborate with firmware, cloud, and UI teams to deliver a seamless end-to-end experience for Auterion-powered drones., • Maintain strong engineering and cybersecurity best practices across all phases of development., • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or equivalent technical field., • 5+ years of experience developing software in C++ and Python on Linux systems., • Experience building and deploying edge applications for embedded or companion platforms (e.g Jetson, Raspberry, companion computers or IoT hardware)., • Proficiency with network protocols and APIs (REST, gRPC, MQTT, WebSockets)., • Familiarity with containerization (Docker) and distributed systems., • Experience integrating with cloud platforms and IoT services (AWS IoT, Azure IoT, or GCP IoT or custom backends)., • Understanding of real-time or near-real-time data processing techniques., • Experience maintaining CI/CD pipelines for edge or distributed deployments., • Proven ability to debug and optimize performance on Linux systems., • Strong collaboration and communication skills; ability to work effectively in a multidisciplinary environment., • Experience working with PX4 is preferred., • Flexible working hours, • Stock Options, • Unlimited PTO, • Health Insurance (includes dental & vision), • Medical flex spending, • Life Insurance, • Retirement Plan - 401k, • Enhanced maternity & paternity leave We are building the leading software platform for AI-powered autonomous systems for enterprise and government customers. Our team is supporting the most important missions and solving the most challenging problems. At Auterion, we bring together the sharpest minds who love to solve the hardest problems. Join a vibrant team built on innovation, openness, and excellence, where you'll be empowered to develop ideas, collaborate across all levels, and make an impact that matters.

Job DescriptionAbout Our Team Chef Robotics is on a mission to accelerate the advent of intelligent machines in the physical world. As the rise of LLMs like ChatGPT has shown, AI has the potential to drive immense change. However, we believe AI’s biggest impact will be in the physical world, given industries like manufacturing, food, and transportation represent 90% of global GDP. We're starting with food, with a goal to put an intelligent robot in every commercial kitchen in the world. We have signed multiple multi-year contracts with various large food companies and we are growing fast. We're backed by investors like Kleiner Perkins, Construct, Bloomberg BETA and Promus Ventures. We have a great team, where you will be surrounded by talented engineers and tech leaders from companies like Cruise, Zoox, Google, Verb Surgical, Tesla, Nuro, Vicarious, Amazon Robotics, Strateos, Built Robotics, Facebook, Plenty, Yelp, and Microsoft. About the Role As a Senior Software Engineer, Backend specializing in database architecture and AI systems, you'll lead the design, implementation, and maintenance of the robust backend services that power our robotics platform. You'll work at the intersection of data management, API development, and AI integration to build scalable solutions that support our robotics systems across customer deployments. This role requires expertise in database optimization, API framework implementation, and a deep understanding of how to architect systems that enable real-time robotics operations. As a senior engineer, you'll mentor team members and drive technical decision-making for backend infrastructure.Database Architecture & Management • Lead the design, implementation, and optimization of database schemas to support robot operations, telemetry, recipe management, and system analytics, • Develop robust data migration strategies and version control for database schema evolution, • Implement efficient query optimization and indexing strategies to support high-throughput robot operations, • Establish data integrity protocols and backup systems to ensure operational continuity across customer deployments, • Create scalable data access layers that balance security, performance, and maintainability, • Mentor team members on database design patterns and optimization techniquesAPI Development & System Integration, • Lead the development and maintenance of scalable APIs to serve robot control systems, dashboards, and monitoring tools, • Design and implement secure authentication and authorization mechanisms across backend services, • Develop robust middleware for processing and validating data between robotics subsystems, • Create service interfaces that enable efficient communication between robotics components and cloud services, • Collaborate with frontend and robotics engineers to ensure cohesive integration of backend services, • Establish API design standards and best practices for the engineering teamAI & Machine Learning Integration, • Lead implementation of backend services that support machine learning pipelines for robot vision and motion planning, • Develop sophisticated APIs for model deployment, monitoring, and version management across robotics fleets, • Create efficient data storage and retrieval systems for training datasets and inference results, • Design and implement systems to collect and process performance metrics from AI components, • Collaborate with ML engineers to optimize data flow for training and inference processes, • Drive architecture decisions for AI/ML infrastructure and scalabilitySystem Reliability & Performance Leadership, • Lead implementation of comprehensive logging, monitoring, and alerting for backend systems, • Develop diagnostic tools and dashboards for operational visibility across distributed robotics deployments, • Establish performance benchmarks and optimize systems to meet latency requirements for real-time operations, • Implement fault-tolerant design patterns to ensure reliability in production environments, • Create and maintain technical documentation for backend systems and mentor team on best practices, • Drive technical initiatives for system scalability and performance optimizationRequired Qualifications - Technical Expertise, • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience, • 7+ years of professional experience in backend development roles with demonstrated leadership experience, • Expert knowledge of relational databases (MySQL, PostgreSQL) including schema design, optimization, and administration, • Strong proficiency with Python and JavaScript/TypeScript with advanced software engineering skills, • Extensive experience leading projects with at least two web frameworks: Flask, FastAPI, Django, Node.js, or Next.js, • Proven experience designing and implementing RESTful and GraphQL APIs at scale, • Advanced understanding of containerization (Docker) and orchestration (Kubernetes) technologies, • Experience with cloud infrastructure and deployment (AWS, GCP, or Azure) in production environmentsLeadership & Domain Knowledge, • Proven experience leading complex backend projects and mentoring junior engineers, • Understanding of data requirements for robotics or automation systems, • Experience with real-time or near-real-time systems and high-performance backend architecture, • Background in developing secure, reliable systems with high availability requirements, • Knowledge of CI/CD practices and infrastructure-as-code principles, • Familiarity with AI/ML deployment workflows and requirementsPersonal Attributes, • Strong leadership and mentoring skills with ability to drive technical initiatives, • Excellence in technical communication with ability to explain complex systems to diverse audiences, • Proactive mindset in identifying potential issues and implementing scalable solutions, • Comfort with working in a fast-paced startup environment with startup-oriented hours, • Commitment to working onsite five days a week to contribute to positive in-office culture, • Passion for robotics and automation technology, • Collaborative approach to cross-functional engineering teamsDesired Qualifications, • Experience with time-series databases (InfluxDB, TimescaleDB) for telemetry data, • Knowledge of message queue systems (Kafka, RabbitMQ) for distributed systems, • Familiarity with WebSockets for real-time communication, • Experience with Redis for caching and pub/sub patterns, • Background in manufacturing, food production, or industrial automation, • Experience developing systems that interface with robotics hardware, • Knowledge of ROS (Robot Operating System) or similar frameworks, • Startup experience with track record of shipping working products under tight deadlines, • Experience with microservices architecture and distributed systems designKey Projects You'll Lead, • Designing and implementing scalable database architecture for multi-site robotics deployments, • Leading development of real-time APIs for robotics control and monitoring systems, • Architecting AI/ML infrastructure for model deployment and performance monitoring, • Establishing backend system reliability and performance monitoring frameworks

Job DescriptionAbout Zipline Do you want to change the world? Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building, manufacturing and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. From powering Rwanda's national blood delivery network and Ghana's COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, to enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments and consumers. The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Through our technology that includes robotics and autonomy, we are decarbonizing delivery, decreasing road congestion, and reducing fossil fuel consumption and air pollution, while providing equitable access to billions of people and building a more resilient global supply chain. About You and the Role Are you a deeply technical software engineer drawn to the complexity of real-world autonomy systems? Do you thrive at the intersection of robotics, embedded software, and systems integration, where your code directly influences high-stakes, physical outcomes? At Zipline, we operate the world's largest autonomous delivery network—and we're building the tools and infrastructure to scale that system safely, globally, and intelligently. We're looking for an industry-experienced Software Integration Engineer to take ownership of deeply integrated autonomy features and push them across the finish line into production. This role is not about building web apps or backend dashboards—it's about working at the frontier of autonomous flight: bridging mission logic, real-time systems, autonomy behaviors, and validation frameworks. You'll work across planning, perception, and controls subsystems, shaping how autonomous features like emergency landings, route adaptations, and dynamic delivery constraints behave in flight. Your work will integrate embedded aircraft software with simulation infrastructure, telemetry systems, and flight operations to ensure features launch with robust performance, measurable safety, and high availability. What You'll Do • Drive system-level integration of complex autonomy features, spanning embedded flight software, real-time behavior logic, and mission-critical runtime systems., • Own feature development from architecture to field validation, collaborating with autonomy, controls, and platform software teams to define robust, testable solutions., • Implement and maintain core vehicle software in Rust and C++, with a focus on performance, safety, and observability in safety-critical environments., • Build and scale the infrastructure required to validate, simulate, and deploy autonomy behaviors across real-world fleets and global flight zones., • Develop tooling to support software-in-the-loop (SIL) and hardware-in-the-loop (HIL) testing for rapid iteration and safe experimentation., • Partner with systems engineering and autonomy teams to define real-world success metrics and build the interfaces and logging infrastructure to track them., • Provide technical leadership across the autonomy organization—driving best practices, elevating integration quality, and mentoring engineers on deep-stack ownership. What You'll Bring • 8+ years of experience delivering production software in robotics, aerospace, autonomous vehicles, or other safety-critical embedded systems., • Deep fluency in Rust, C++, or C with a focus on high-performance, fault-tolerant applications., • Strong systems-thinking mindset, with demonstrated ability to integrate cross-disciplinary software under tight constraints (e.g. timing, safety, power)., • Hands-on experience with robotics testing infrastructure, including SIL/HIL, log replay tooling, scenario validation, or embedded simulation., • A track record of success building and deploying autonomy features into real-world robots, drones, or vehicles operating under noisy, dynamic conditions., • Comfort navigating and owning ambiguity in hardware/software co-design environments, defining clear interfaces and iteration strategies from high-level goals., • Passion for enabling robust autonomy development—through testable code, clear debugging signals, and excellent internal tooling. 🚫 Not the Right Fit If: • Your experience is primarily in web development, backend services, or UI/front-end engineering. The starting cash range for this role is $200,000 - $265,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Job DescriptionAbout KetchKetch powers responsible data use for millions of people every day across leading media, retail, technology, and financial companies. We’re built on a simple belief: data privacy is a fundamental human right. Protecting personal data in the AI era requires a platform that enables dynamic engagement with users, orchestration of data directives across the ecosystem, and intelligent action on AI-driven insights. With Ketch, businesses gain real-time visibility and control. The result is stronger trust between brands and consumers, grounded in integrity and respect for personal data.Ketch is a well-funded Series B startup backed by top investors and led by a multi-exit leadership team. We’re passionate builders who continuously seek to understand our customers, collaborate on innovative solutions, and write the code to bring them to life. Role OverviewAs the Senior Frontend Engineer for Ketch Tag, you will lead the design and development of client-side javascript integration code for Ketch’s privacy and permissioning platform. This role demands technical expertise in client-side javascript tags, website performance, and the ability to collaborate across teams. You will work closely with product management, customer success, and design teams to deliver exceptional, secure, and scalable user experiences. This is a hybrid role based out of the San Francisco HQ 3 days a week.Key Responsibilities • Own and evolve the Ketch SDKs, which power privacy, consent, and data-governance functionality for millions of daily users across global media, e-commerce, technology, and financial platforms., • Extend Ketch’s event-driven SDK framework to support custom integrations, consent orchestration, event tracking, rule evaluation, and adtech connectivity., • Design and implement mechanisms to intercept, modify, and govern network requests, cookies, and storage operations—providing deterministic control over client-side data flows., • Build and iterate on network-traffic emulators that simulate real client-server interactions, extract telemetry, and pipeline it into AI models to identify and score data-sensitivity and privacy risk., • Assist in developing responsive and user-friendly web applications using ReactJS and TypeScript., • Advocate for features that serve customer developers, improving integration workflows, extensibility, and overall developer experience., • Collaborate with product, design, and customer success teams to implement features that address customer needs and ensure a consistent, intuitive user experience., • Maintain and improve application security and performance standards., • Contribute to frontend engineering best practices, standards, and tools., • Mentor junior engineers and conduct code reviews to uphold quality standards.What We’re Looking For, • Deep command of modern JavaScript (ES6+), TypeScript, and browser APIs, with the ability to write performant, reliable code that runs in varied client environments., • Experience building and maintaining JavaScript tags deployed on customer websites, as well as SDKs used by internal integrations and external developers., • Strong understanding of browser architecture, spanning network and storage APIs, cross-origin communication, and governance of client-side data flows., • Excellent problem-solving skills and the ability to work in a dynamic, fast-paced environment., • Strong communication and collaboration skills, with the ability to engage with technical and non-technical stakeholders., • Experience and/or expertise with mobile application development in iOS and/or Android is a plus

Job Description Location: San Francisco, CA (Remote/Hybrid Available) What is Verse? Organizations today are under growing pressure to navigate the transition to clean energy — not just to meet sustainability goals, but to manage risk, control costs, and build long-term resilience. Yet the complexity of energy markets and a lack of accessible tools have made it difficult for most companies to take meaningful action. Verse was created to change that. Our mission is to make the case for clean energy irrefutable. Through our AI-powered platform, Aria, we help organizations plan, procure, and operate clean energy to achieve their financial and sustainability goals. Verse transforms clean energy ambition into action — giving businesses the clarity and confidence to lead in a rapidly evolving energy landscape. The Role As a Software Engineer focused on Fleet Telemetry & Control at Verse, you will be working closely with our energy solutions partners to design, implement, and test distributed energy resource controls and telemetry software on customer hardware at sites around the world. You will be part of a dynamic, high-performance team building applications directly on bare-metal or on hardware-level virtualization platforms. As an advanced technical leader in network programming and state management development, engineering teams will look to you for best standards and practices for interfacing with on-premises grid assets using solutions you will build and maintain. Key Responsibilities • Foster a culture and mindset of well-designed systems, test-driven software, and transparent communication with a high caliber of mutual respect and consideration for stakeholders, • Mentor and support career and junior level engineers in their fleet telemetry and control software career development, • Collaborate closely with energy solutions providers on their proprietary hardware and on-premises software stacks, • Design, implement, and test software for supervisory distributed energy resource control and telemetry applications with heterogeneous OEM hardware, sensor/actuator networks, and remote terminal units, • Develop high-performance, production-grade applications optimized for resource- and bandwidth-constrained environments, • Provide specifications for over-the-air (OTA) update of on-prem software and remote access solutions for customers, • At least 5+ years of experience working directly on bare metal applications, • Technical leadership and commitment to delivering high quality software on time or ahead of schedule, and adhering to best software development practices, • Strong programming skills with systems languages such as C/C++, Rust or Go, • Comfortable working with scripting languages such as Shell or Python (understanding of Rust bindings for Python or similar a big plus), • Advanced knowledge of communications solutions at all layers (L1-L7) in the OSI networking model, • Hands-on exposure to lightweight database engines such as SQLite, LevelDB, or similar, • Familiarity with SCADA systems, industrial automation software, microcontrollers, and finite state machines, • A bachelor's degree or higher in a STEM field, • Proficient with electric power systems and bulk electricity grid hardware (e.g. transmission, distribution, generation, storage), • Comfortable building software on the Intel Atom family of processors or similar low-powered CPU environments, • Working knowledge applying first principles of model-predictive control, optimal control, robotics, and/or reinforcement learning, • Deep knowledge working with Modbus TCP or similar L5-L7 application layer networking protocol, • Technical proficiency working with industrial SCADA communications protocols such as DNP3 and the IEC 60870 and 61850 family of protocols, • Experience building resilient, fault tolerant applications on inherently unreliable / mesh networks with Ethernet, W-Fi, Zigbee, 4G/5G cellular, broadband, fiber, or satellite links, • Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first, • Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders, • Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection $160,000 - $194,000 This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to level, skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. Benefits and Employee Perks • Competitive compensation and equity grant at a high-growth start up, • Comprehensive benefits package including medical, dental and vision insurance, and 401k, • Flexible hours and unlimited PTO

Job DescriptionAbout GridwareGridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Role DescriptionWe’re looking for a Senior Software Engineer to lead the development of Gridware’s device communication systems - the backbone that connects our distributed sensing fleet to the cloud. In this role, you’ll design and optimize the systems responsible for reliable, low-latency data exchange between thousands of field devices and our backend services. You’ll work at the intersection of software, firmware, and networked systems - building the communication infrastructure that powers real-time monitoring, updates, and analytics across the grid. This is a high-impact role for an engineer who enjoys working close to the metal, thinking in systems, and scaling critical infrastructure that matters.What You'll Do: • Design and implement reliable, low-latency communication protocols between edge devices and backend systems., • Build and maintain scalable backend services that handle bi-directional device communication, updates, and telemetry., • Collaborate with firmware and hardware teams to ensure seamless integration of on-device and cloud-based communication layers., • Develop monitoring, validation, and recovery systems to ensure message integrity and system resilience., • Optimize data throughput and synchronization to support real-time operational decision-making.Your background might look something like:, • 5+ years of experience as a software engineer working on distributed systems, IoT, or device communications., • Strong proficiency with Python, Go, or TypeScript, and experience with PostgreSQL or similar databases., • Proven experience designing or scaling communication systems (MQTT, WebSockets, gRPC, or equivalent protocols)., • Deep understanding of network reliability, message queuing, and system fault tolerance., • Ability to work effectively across firmware, cloud, and infrastructure boundaries.Bonus Points:, • Experience developing systems for large-scale IoT or connected device platforms., • Familiarity with observability and monitoring tools (OpenTelemetry, Grafana, Mimir, etc.)., • Background in low-power or constrained communication environments., • Strong understanding of data synchronization, buffering, and network optimization.

Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About This Role: At Crusoe Energy Systems, our Site Reliability Engineering (SRE) team plays a mission-critical role in maintaining the performance and reliability of our AI-optimized cloud infrastructure. The Storage-focused SRE role is responsible for ensuring the availability, performance, and scalability of Crusoe’s cloud storage products and services, which power compute-intensive, latency-sensitive workloads for AI and HPC use cases. This role directly supports our vertically integrated, sustainable cloud platform by building and optimizing distributed, fault-tolerant storage systems at scale. What You'll Be Working On: In this role, you will build automation and self-healing tools to monitor and maintain Crusoe’s distributed cloud storage infrastructure, which includes block, file, and object storage systems. You will drive reliability initiatives focused on data replication, encryption, backup and restore strategies, and robust failover mechanisms. Collaborating closely with storage engineers, you will help implement and maintain high-performance NVMe- and SSD-backed volumes that support large-scale AI compute clusters. Your responsibilities will also include supporting user-facing storage services with a focus on availability, performance tuning, and adherence to error budgets. You’ll investigate and resolve storage-related incidents using deep telemetry, logs, and performance profiling, while also partnering with hardware and kernel teams to diagnose low-level I/O issues and optimize I/O paths, cache policies, and file systems. Additionally, you will contribute to the architecture of fault-tolerant, scalable storage backends tailored for AI-first cloud environments. What You’ll Bring to the Team: * 5+ years of professional experience in SRE, systems, or storage engineering. * Hands-on experience with distributed storage systems (e.g., Ceph, GlusterFS, OpenEBS) and deep understanding of object, block, and file storage paradigms. * Proficiency in a programming language such as Python, Go, Java, or C. * Experience with Infrastructure as Code and deployment tooling such as Terraform, Ansible, or Puppet. * Deep knowledge of Linux internals with a focus on I/O subsystems, memory management, and storage scheduling. * Familiarity with storage protocols like NFS, SMB, iSCSI, or NVMe-oF. * Strong experience working with containerized workloads and orchestration platforms (e.g., Kubernetes, Docker). * Excellent incident response, troubleshooting, and documentation practices. * Experience with building and operating managed services at scale such as object, file and block storage (AWS, GCP, Azure) * Excellent communication skills * Must be able to pass a background check * Embody the Company values Bonus Points: * Contributions to open-source storage projects or the Linux storage stack. * Experience with hybrid storage models across on-prem and cloud environments. * Familiarity with high-throughput network topologies for storage backplanes (e.g., RoCE, RDMA, InfiniBand).. Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300 per month Compensation: Compensation will be paid in the range of $166,000 - $201,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.