Staff software engineer jobs in San Francisco, CA - 10,398 jobs

Job Title: Staff Software Engineer Job Type: Perm Salary: Very Competitive based on exp. The Company: Series C AI technology company building backend systems that enable clinical and operational tools used by healthcare organizations. The team combines engineering and research expertise to build safe, reliable AI services for use in regulated data environments. The company is focused on practical, production-grade systems rather than research prototypes. Role and Responsibilities: Design and build scalable backend infrastructure to support AI applications used in healthcare environments. Collaborate with ML engineers and scientists to develop high-throughput data pipelines and microservices. Develop APIs and distributed systems that enable secure data retrieval, processing, and model integration. Ensure patient data protection through strong privacy and security measures across systems. Monitor, optimize, and maintain backend performance to meet enterprise reliability standards. Partner with product managers and healthcare teams to translate clinical needs into technical solutions. Mentor junior engineers, fostering technical growth and best practices within the engineering team. Job Requirements: Must Have: 7+ years of experience in backend engineering (Python, Go, or Java). Proven experience building distributed systems (databases, pub/sub, Kafka, Redis). Expertise in cloud platforms (GCP or Azure preferred; AWS acceptable). Proficiency with Docker, Kubernetes, CI/CD, and cloud networking. Strong understanding of SaaS architecture, data modeling, and security/privacy frameworks. Excellent communication and collaboration skills. Ability to work LATAM-based hours aligned with PST. Nice to Have: Familiarity with LLM frameworks (e.g., LangChain) or vector databases for AI/ML workloads. Experience in healthcare or regulated environments (HIPAA familiarity is a plus). Interest in mentorship and architectural decision-making at scale. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify's mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here

Software Test Automation Engineer - Medical Device Systems We are seeking an experienced Software Test Automation Engineer to design, develop, and maintain automated testing frameworks for our medical device platform. This role will focus on verification testing and system integration testing across a multi-layered technology stack including C firmware, WPF/C# applications, and Python-based analysis components. Key Responsibilities Design and implement comprehensive automated test frameworks for verification and system integration testing across firmware, application, and analysis layers Create and maintain automated tests for WPF/C# application workflows and user interface functionality Build test automation for Python-based analysis algorithms and reporting systems Develop automated tests for C firmware components that interface with medical sensors and hardware Establish end-to-end system integration tests that validate data flow and functionality across the entire platform (firmware → application → analysis → reporting) Collaborate with firmware, software, and systems engineering teams to understand requirements and identify testable scenarios Maintain and enhance CI/CD pipelines to enable continuous automated testing Document test plans, test cases, test results, and traceability matrices in accordance with medical device regulatory requirements Identify, document, and track software defects through resolution Participate in design reviews and provide testability feedback during development phases Support verification and validation activities for regulatory submissions (FDA, ISO 13485, IEC 62304) Required Qualifications Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience) 5+ years of experience in software test automation Strong programming skills in C# and Python (C coding experience is a plus) Proven experience developing and maintaining automated test frameworks (e.g., NUnit, pytest, Robot Framework) as well as with WPF application testing and UI automation frameworks (e.g., White, FlaUI, Appium) Experience with system integration testing across multiple software components and languages Solid understanding of software testing methodologies, test design techniques, and quality assurance best practices Experience with version control systems (Git) and CI/CD tools (Bitbucket Pipelines, Jenkins, GitLab CI) Strong analytical and problem-solving skills with attention to detail Excellent written and verbal communication skills Preferred Qualifications Experience testing medical devices or other regulated software systems (FDA, ISO 13485, IEC 62304) Experience with firmware testing, embedded systems, or hardware-software integration testing Knowledge of sensor technologies and data acquisition systems Experience with requirements traceability and test management tools Understanding of risk-based testing approaches for medical devices What We Offer Medical Dental Vision 401k Unlimited PTO Gym Access Other Perks

Location: San Jose (full time onsite) Engagement: Contract (1099 or W2) Duration: 6-12 months FTE conversion thereafter. Hourly rate: The focus is on finding the right person, therefore open to market rate. Overview In this senior leadership capacity, you will spearhead the engineering of sophisticated flight emulation platforms designed for rigorous system certification and pilot-interaction studies. You will be responsible for modernizing deployment workflows through automated integration cycles and partnering with multidisciplinary teams to synchronize physical components within synchronized, real-time testing frameworks. By overseeing the full lifecycle of virtualized environments-ranging from component-level benches to full-scale "Iron Bird" rigs-you will ensure simulation accuracy by reconciling digital outputs with empirical data from live flight operations. Beyond the technical architecture, you will define the UI strategy for simulation control, manage the resolution of intricate distributed system anomalies, and cultivate a culture of elite technical mentorship and strategic project execution. Requirements: 10+ years of experience in simulation software development and systems integration. Bachelor's or higher degree in Aerospace, Software, Electrical Engineering, Computer Science, or a related field. Seasoned technical lead for an engineering team; providing guidance in planning and execution. Advanced proficiency in C/C++ and Python. Expert in MATLAB/Simulink and Python. Extensive experience developing real-time HIL test infrastructures. Proven ability to develop simulation tools with a focus on usability, modularity, and performance. Expert of communication standards and protocols (RS-422/485, CAN/CAN-FD, ARINC-429, Ethernet, TCP/IP, USB etc…) Experience prototyping Graphical User Interfaces based on user feedback. Knowledgeable with software engineering practices including CI/CD (GitHub Actions, Jenkins), test-driven development, and agile methodologies. Strong problem-solving and debugging skills with a proactive, solutions-oriented mindset. Comfortable working in cross-disciplinary teams and mentoring junior engineers. Preferred Qualifications Experience with aerospace, spacecraft, or robotics systems-including modeling of flight dynamics, sensor-actuator loops, or avionics. Proficiency in the NI software suite (LabVIEW, VeriStand). Experience developing and troubleshooting custom code (i.e. plugins, logical devices, custom devices) for real-time OS Background in simulation infrastructure for VTOL, rotorcraft, or autonomous vehicles. Understanding of control theory, GNC algorithms, and physics-based modeling. Hands-on experience with HIL/SIL test rigs, hardware communication protocols, and test instrumentation. Exposure to regulatory frameworks (FAA, DoD, NASA) and test certification environments. Startup or fast-paced development experience is a plus. Experience automating and executing test plans. Familiarity with fault injection methodologies. Familiarity with lab

About Us Every patient deserves fast access to life-changing medications. We're building the AI operating system that makes it happen, automating the phone calls, texts, data entry, and complex workflows that slow pharmacies down. We're backed by Gradient Ventures (Google's AI fund) with more demand than we can handle. Why we need you We're building AI-powered systems that handle real patient communication and pharmacy workflows. As an engineer, you'll work directly with our founding team to ship features end-to-end-from LLM-powered voice and text systems to integrations with pharmacy platforms. This is a hands-on, full-stack role where you'll own technical decisions that shape how our product scales. What you'll do Build and ship AI-powered voice, text, and workflow automation systems Own features end-to-end: design, implementation, deployment Create integrations with pharmacy and patient management systems Solve hard problems: LLM optimization, reliable systems on unreliable APIs, abstractions that speed up customer implementations Establish engineering patterns as we scale Must-have experience 4+ years of software engineering experience Solid programming fundamentals; Python experience a plus Hands-on experience with AI tools, APIs, or prompt engineering Track record of owning projects, not just implementing specs Nice-to-haves Experience at early-stage startups Background building LLM-powered applications Familiarity with voice/telephony systems Event driven architectures Location: Hybrid in Palo Alto (Mon/Wed/Thurs) Compensation: $175k - $250K + generous equity, full benefits, flexible PTO

Responsibilities Android kernel, framework Audio system, Audio related device drivers (e.g. for A2B) Infotainment, Digital Cockpit Qualcomm SoC QNX OS experience Linux Yocto kernel and services development System performance optimization with Linux Yocto, QNX or AAOSP.

Backend Developer (Java) - 12-Month W2 Contract Pay Rate: $55-$65/hour (Depending on Experience) Contract Type: W2 | 12 Months Russell Tobin is supporting a leading enterprise retailer in hiring a skilled Backend Developer for a long-term onsite contract in Pleasant, CA. This role is ideal for an experienced backend engineer with a strong background in Java, cloud technologies, microservices, and DevOps. Key Responsibilities Design, develop, and maintain backend services using Java and Spring Boot Build and maintain RESTful APIs following best practices Develop and support microservices-based architectures Work with MongoDB and MySQL for data storage and retrieval Implement event-driven solutions using Kafka or RabbitMQ Deploy and manage containerized applications using Docker and Kubernetes (AKS or GKE) Collaborate using DevOps tools such as GitHub, Jenkins, Chef, Puppet, or ArgoCD Implement monitoring and alerting using Nagios, New Relic, GCP, or Splunk Participate in Agile and Scrum ceremonies Ensure adherence to SDLC and security compliance standards Required Qualifications 7-10 years of total IT experience 6+ years of hands-on experience with Java, MongoDB, and MySQL Strong hands-on experience with Java Spring Boot Hands-on experience with API management and microservices development Experience with public cloud platforms such as Azure or GCP Hands-on experience with Kafka or RabbitMQ Hands-on experience with Docker and Kubernetes (AKS or GKE) Experience using DevOps tools including GitHub, Jenkins, Chef, Puppet, or ArgoCD Experience with monitoring and alerting tools such as Nagios, New Relic, GCP, or Splunk Strong understanding of RESTful API design principles Strong knowledge of the Software Development Lifecycle, security compliance, Agile, and Scrum Soft Skills Inquisitive team player with an innovative mindset Quick learner with strong adaptability to new technologies Strong communication, collaboration, and problem-solving skills Russell Tobin offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

Mission and Impact: VIVIO Health, a Public Benefit Corporation, is revolutionizing pharmacy benefits management through data and technology. Our foundational principle - "The Right Drug for the Right Person at the Right Price" - drives everything we do. Since 2016, our evidence-based approach has delivered superior health outcomes while reducing costs for self-insured employers and health plans. By ensuring each patient receives the most appropriate medication for their specific condition at a fair market price, we're replacing the obsolete PBM Model with innovative solutions that work better for everyone. Why Join VIVIO? Innovation: Challenge the status quo and shape healthcare's future Impact: Directly influence patient care and help change healthcare delivery Collaboration: Work with passionate teammates dedicated to making a difference Culture: Enjoy autonomy and reliability in a micromanagement-free environment Growth: Expand your opportunities as we expand our business Job Description Position Overview We are seeking an exceptional developer with robust Python skills to join our team. You will play a crucial role in building complex business operations logic. You should have a proven track record of building high-quality software, solving complex problems, and thriving in collaborative environments. Experience in regulated cloud environments like HIPAA or PCI is a plus. We expect a self-motivated individual who thrives in a collaborative environment and shares our commitment to enhancing the cost and quality of healthcare. If you're ready to make an impact, we want to hear from you! Location: Hayward, CA. This is a Hybrid role with a minimum of 3 in-office days. Technical Stack: Languages: Python, PHP Databases: MySQL Infrastructure: AWS or other Cloud experience, CICD Core Responsibilities: Design and develop scalable services and core libraries. Develop batch processing jobs for data imports, reporting, and external integrations. Build and maintain transaction processing systems with complex business rules. Integrate third-party APIs and normalize data across multiple healthcare providers. Implement HIPAA-compliant data handling, logging, and audit systems Write comprehensive tests with proper mocking and maintain CI/CD pipelines. Foster best practices in a lean startup setting through code reviews. Promote knowledge sharing to build a collaborative culture. Optimize architectures and designs through deep understanding of business processes Ensure operational excellence through monitoring, documentation, and deployment automation. Qualifications Required Qualifications: 5+ years of development experience with production systems BS or advanced degree in an engineering discipline or equivalent experience SQL database design and optimization Test-driven development and mocking strategies Experience with data processing Preferred Qualifications: REST API design and integration experience FastAPI or similar framework experience CRM customization experience ETL pipelines and Batch processing systems experience Job orchestration frameworks experience File-based and distributed storage systems Healthcare/pharmacy technology background Strong understanding of building software in regulated environments & security standards such as PCI DSS, ISO 27001, HIPAA, and NIST. Other expectations: Hybrid work arrangement with work from office 3 days a week. Additional Information Compensation and Benefits: Base Salary: $120-$140K/year Bonus Eligible Health benefits, including Medical, Pharmacy, Dental, Vision, and Life insurance Stock Options 401K and company match PTO Opportunity to work for a growing and innovative company. Dynamic and collaborative work environment. The chance to make a real impact with a Public Benefit Corporation. VIVIO Health is an Equal Opportunity Employer. All information will be kept confidential according to EEO guidelines. Please be advised that job opportunities will only be extended after a candidate submits a completed job application and goes through our interview process, including 1:1 and/or group interviews via phone, video conferencing, and/or in-person. All legitimate correspondence from a VIVIO employee will come from our Smart Recruiter Applicant Tracking System "@smartrecruiter.com" or "@viviohealth.com" email accounts.

We're seeking a Full Stack Software Engineer with strong backend development skills in Python and frontend expertise in React.js. You'll help design, implement, and scale full stack web applications that are secure, performant, and user-centric. Responsibilities Architect, build, and maintain backend services using Python (FastAPI, Flask, Django) Design and implement dynamic and responsive frontends using React.js and/or Vue.js Create and consume RESTful and GraphQL APIs Build reusable components and libraries for frontend use Collaborate across teams to gather requirements, define solutions, and ensure quality Optimize performance and scalability of applications Write unit, integration, and end-to-end tests across the stack Participate in peer code reviews and provide mentorship where appropriate Required Qualifications 5+ years of experience in full stack development M.S. degree in relevant domain required Proficiency with Python and one or more major web frameworks (e.g., FastAPI, Django) Advanced skills in React.js, including Hooks, Context, and state management libraries (e.g., Redux, Zustand) Experience with Vue.js or interest in working across multiple frontend frameworks Familiarity with modern frontend tooling: Webpack, Vite, Babel, ESLint Solid experience with HTML5, CSS3, SASS/SCSS, and responsive UI design Strong understanding of RESTful services, API security, and performance optimization Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL options (MongoDB, Redis) Git and CI/CD best practices (GitHub Actions, CircleCI, GitLab CI) Strong communication skills and a collaborative approach to engineering Preferred Qualifications Familiarity with TypeScript Experience with cloud platforms (AWS, GCP, or Azure) Experience with Docker, Kubernetes, or container orchestration GraphQL and Apollo Client experience Familiarity with microservice architecture Experience working with real-time data (WebSockets, MQTT)

Subtle Medical is a leading provider of AI-powered imaging solutions, optimizing scan efficiency and image quality across radiology. Recognized by TIME as a World's Top Healthcare Company (2025) and multiple times as a CB Insights GenAI 50, Digital Health 150, and Top AI 100 company, Subtle Medical is committed to transforming medical imaging through responsible and intelligent software. The company's solutions are deployed on over 1000 scanners worldwide, helping imaging centers and hospitals deliver faster scans, improve image quality, and enhance patient care without the need for new hardware. The Role The Machine Learning Software Engineer role at Subtle Medical will join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Subtle Medical is the world leader in applying deep learning to the acquisition of medical images in order to enable faster, safer, and smarter medical imaging. We are committed to transforming the healthcare ecosystem by building and delivering responsible AI solutions that create a measurable impact on the radiology workflow and patient experience. Our vision is that every human being has the opportunity for a timely diagnosis, high-quality care, and a longer, healthier life. Currently, Subtle Medical has several FDA-cleared & CE-marked AI software products that are in clinical usage in over 900 hospitals and imaging centers worldwide. Subtle has a robust multi modality product portfolio and continues to invest heavily in research and development. Our team consists of world leading radiologists, scientists and engineers from top universities like Stanford, Harvard, and MIT many with past experience at leading equipment manufacturers like GE, Philips and Siemens. Subtle Medical has been recognized multiple times by CB Insights as a global Top 100 AI Company and Top 150 Digital Health Company. We continue to grow and expand and welcome those to apply who desire to empower patients and physicians with better healthcare. Subtle Medical is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Job Responsibilities Build software systems that enable AI-powered image enhancement and analysis algorithms in the clinical workflow Write computer code to set up deep learning network architecture Support and participate in applicable Quality Management System (QMS) processes for Subtle Medical AI/ML Software as a Medical Device (SaMD) products. Feed imaging data into this model for training and evaluating the results on a separate test set Participate in applicable data protection related activities, such as audits, investigations, and training, and comply with all applicable company policies and procedures. Deploy and maintain our software systems both on the cloud and at work sites Build and maintain CI/CD tools for our softwares Complete models and simulations, using manual or automated tools, to analyze or predict system performance under different operating conditions Monitor system operation to detect potential problems Identify system data, hardware, or software components required to meet user needs Maintain logs of any code modifications Conceive and document software design and testing plans Test performance of multiple deep learning models Improve the efficiency of deep learning algorithms to allow them to be run on standard hospital scanners Collaborate with the research team in developing next generation AI-powered medical imaging products Build and maintain experiment tracking tools Build and maintain model training, validation and deployment infrastructure Publication and other dissemination of new technologies Submit patent applications on significant new advances Qualifications Programming skills in Python/C/C++ Understanding of general principles of medical imaging and/or Deep Learning pipelines on medical images Working knowledge of Quality Management System (QMS) regulations and applicable familiarity with ISO 13485, ISO 14971, IEC 62304, and IEC 62366. Education Master's degree in Computer Science or relevant field Work Experience 5 years work experience in software engineering as a full stack developer and/or ML Ops Engineer Nice to Haves 5+ years work experience in software engineering for medical imaging Industry Computer Software / SAAS Medical Imaging/Radiology Hospital & Health Care Employment Type Full-time Location This is a remote role with potential for 5% travel. Travel is usually restricted to team meetings. Candidates in the San Francisco Bay Area are given the option to work hybrid at the Menlo Park office. Job Functions Engineering Want to apply? Please email ************************* with your resume/CV and the job title in the subject line. Be sure to include all applicable information that supports your qualification and interest in this role.

🚀 𝐍𝐨𝐰 𝐇𝐢𝐫𝐢𝐧𝐠: Senior Software Engineer (𝐐𝐮𝐚𝐝𝐢𝐞𝐧𝐭 𝐈𝐧𝐬𝐩𝐢𝐫𝐞) 📍 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Alpharetta, GA / Rancho Cordova, CA / Oakland, CA (Hybrid/Remote) 💼 Full-time / Contract (Open) 👀 Are you a 𝐐𝐮𝐚𝐝𝐢𝐞𝐧𝐭 𝐈𝐧𝐬𝐩𝐢𝐫𝐞 𝐞𝐱𝐩𝐞𝐫𝐭 passionate about building secure, scalable customer communication solutions? Join a high-impact Document Composition & Generation Team within the Customer Communications Management (CCM) space. 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮'𝐥𝐥 𝐃𝐨: ⚙️ Design, develop, test, and implement customer communication workflows using Quadient Inspire 🔗 Build secure, scalable APIs aligned with architecture standards 🧩 Support input/output requirements, usage scenarios, and quality assurance needs 📊 Collaborate with internal teams on strategic planning and platform alignment 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮 𝐁𝐫𝐢𝐧𝐠: 🧠 5+ years of software engineering experience 📄 Strong expertise with 𝐐𝐮𝐚𝐝𝐢𝐞𝐧𝐭 𝐈𝐧𝐬𝐩𝐢𝐫𝐞 (Designer, Scalar, Content Manager, Automation, Interactive, Approve Workflow) 🌐 Hands-on experience with REST, SOAP, and API protocols 💻 Proficiency in Java, JavaScript, Shell Scripting 🗄️ Solid experience with SQL databases 🔁 Version control using GitHub 𝐍𝐢𝐜𝐞 𝐭𝐨 𝐇𝐚𝐯𝐞 ✨ Experience with Customer Communications Management (CCM) platforms ✨ Familiarity with Precisely EngageOne 📩𝐈𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐞𝐝? DM or share your resume at 𝐚𝐝𝐢𝐭𝐲𝐚𝐤@𝐭𝐫𝐚𝐧𝐳𝐞𝐚𝐥.𝐜𝐨𝐦 𝐇𝐚𝐬𝐡𝐭𝐚𝐠𝐬 #Hiring #SeniorSoftwareEngineer #QuadientInspire #CCM #CustomerCommunications #APIDevelopment #HybridJobs #TechJobs #SoftwareEngineering #DocumentComposition #TranzealHiring #CaliforniaJobs #GeorgiaJobs #TranzealUSAjobs #CaliforniaJobs #Remote #PrintNet #Inspire #Quadient #SoftwareEngineer

About Us At Autonomous Healthcare, we are at the forefront of medical innovation, developing the next generation of devices that will revolutionize patient care. Our mission is to commercialize breakthrough medical technologies by leveraging cutting-edge AI and autonomous systems. We believe that the best solutions are built together, and we are looking for a key member to join our collaborative R&D team. About the Role We are seeking a highly motivated and skilled engineer to join our team in developing next-generation patient monitoring systems. This role is at the intersection of computer vision, signal processing, and high-performance software engineering. You will be responsible for building the core analytical engine that transforms raw depth-sensor video into actionable health information. This is not a purely theoretical position. You will be hands-on, designing algorithms that are efficient enough for real-time applications and robust enough for real-world clinical use. You will write the production-level Python code that brings these algorithms to life on cutting-edge edge computing platforms. If you are a problem-solver who thrives on analyzing complex sensor data and building tangible, high-performance systems, we want to hear from you. Key Responsibilities Develop and implement real-time computer vision algorithms in Python to detect, track, and analyze regions of interest from video data (specifically depth sensors). Design and build signal processing pipelines to extract, filter, and interpret physiological movement data from sensor signals. Optimize algorithms for performance to meet strict real-time processing requirements. Deploy and validate analysis software on edge computing platforms with GPU acceleration (e.g., NVIDIA Jetson). Collaborate in a multidisciplinary team to integrate your solutions into a complete monitoring product. Rigorously test, debug, and document your code and algorithms. Required Qualifications Strong proficiency in Python and experience writing clean, efficient, and maintainable code. Solid foundation in computer vision principles and hands-on experience with libraries like OpenCV. Solid foundation in digital signal processing (e.g., filtering, time-series analysis, feature extraction) and experience with libraries like SciPy or NumPy. B.S. or M.S. in Computer Science, Robotics, Electrical Engineering, Biomedical Engineering, or a related technical field. Demonstrable experience in analyzing imaging or sensor data to solve complex problems. Excellent problem-solving skills and the ability to work independently and as part of a team. Preferred Skills (We'd love to see these) Experience with high-performance edge computing platforms (e.g., NVIDIA Jetson). Familiarity with GPU programming (e.g., CUDA, TensorRT) for accelerating algorithms. A background in robotics, autonomous vehicles, or real-time analysis of sensor data (e.g., LiDAR, RADAR, IMU). Experience with depth sensors, 3D data processing, or point cloud analysis. Knowledge of machine learning or deep learning frameworks (e.g., PyTorch, TensorFlow) for vision or time-series tasks. Familiarity with software development best practices (e.g., Git, unit testing, CI/CD).

San Francisco Bay Area A pioneering space company developing next-gen orbital mobility solutions is hiring an Avionics and Software Lead to own the full stack of spacecraft avionics and flight software for a new Spacecraft Development. This is a rare opportunity to architect, build, and validate a complete flight system from scratch, working on cutting-edge propulsion-enabled platforms designed for responsive orbital manoeuvring. In this role, you'll define the avionics architecture, lead integration of radiation-tolerant electronics, and drive flight software development-including GNC algorithms, EPS design, and hardware-in-the-loop testing. You'll collaborate closely with cross-functional engineering leads to ensure spacecraft safety, autonomy, and reliability from concept through CDR. This is a hands-on leadership role for someone excited by the challenge of building high-performance spaceflight systems in a rapid development environment. What You'll Be Doing: Own the full avionics and flight software architecture through critical design review (CDR) Select and integrate COTS radiation-tolerant components for power, compute, and data handling Lead development of flight and ground software (telemetry, real-time control, fault management) Define and implement guidance, navigation, and control (GNC) algorithms Design electrical power systems (EPS), data bus architecture, and flight harnessing Build and operate a flat-sat HIL testbed for integration and validation Develop ICDs and maintain firmware/software configuration processes Support subsystem integration and testing campaigns Conduct FMEA and reliability analyses Lead subsystem design reviews and contribute to broader mission engineering milestones What You'll Need: Bachelor's degree in software engineering, electrical engineering, or similar 8+ years of experience developing avionics or flight software for spacecraft or other high-reliability systems Strong background in embedded systems, spacecraft autonomy, or GNC Proficiency in C/C++ or Rust; Python for scripting/testing Experience with radiation-hardened processors and electronics (Microchip, Xilinx, etc.) Familiarity with CAN, SpaceWire, RS-422, and other bus protocols HIL integration experience and knowledge of EMI/EMC and power distribution design principles U.S. Person (citizenship or permanent residency) required Desirable Experience: Autonomy frameworks or fault-tolerant flight software Space-rated EPS or battery management systems Responsive space operations or in-space logistics Previous experience in a startup or fast-paced R&D environment

Previous Pharmaceutical/Biotech experience is mandatory for this role. MMR Consulting is an engineering and consulting firm specializing in the pharmaceutical and biotechnology industries. Its services include Engineering, Project Management, and other Consulting services. MMR Consulting has offices in Canada, USA, and Australia. This is an outstanding opportunity to join our growing team, where the successful candidate will work with a group of engineers and specialists involved in project management, commissioning and qualification, of equipment, systems and facilities. The work will require working out of the client's facilities in San Francisco Bay Area, California. This role is for Bioprocess Sr. C&Q Engineer role to work on the commissioning, qualification, startup of upstream and downstream bioprocess systems/equipment in the biopharmaceutical industry, as well as process equipment in pharma/biotech industries. The ideal candidate should possess leadership skills to lead/mentor intermediate/junior engineers. Responsibilities Provide technical guidance into the commissioning, qualification and start-up of various equipment and facilities used in life science manufacturing, such as bioreactors, tanks, CIP, Buffers, Media, Chrom, TFF, washers & autoclaves, etc. Lead the development of key qualification deliverables during the project lifecycle to ensure project is well defined, and the action plan to test the system is applicable and relevant. Lead qualification processes throughout the project lifecycle such as VPP, Risk Assessments, RTM, DQ, FAT, SAT, IQ, OQ and PQ as appropriate to ensure timely completion and to ensure all quality and engineering specifications are met. Prepare protocols, execute protocols, summarize data, resolve deviations, prepare final reports. Experience with C&Q of process equipment, utilities, facilities is an asset. Thermal Validation experience is an asset. Coordinate meetings with cross-functional departments, to drive project progress, facilitate decisions, provide updates. Engage other departments, as required, for design reviews and decisions. Travel may be occasionally required for meetings with clients, equipment fabrication vendors or Factory Acceptance Testing (FATs). Work may require occasional support over shutdowns or extended hours, specifically during installation and commissioning / validation phases. Client-management (maintain key Client relationships in support of business development and pursuit of new work), project scheduling/budgeting, coordination of client and MMR resources for effective project delivery, supporting business development (providing technical support to the sales as required for proposals/opportunities), presenting at industry conferences/publishing papers etc. Visit construction and installation sites following all site safety requirements. Other duties as assigned by client, and/or MMR, based on workload and project requirements. Qualifications 8-12+ years for years of experience in commissioning, qualification or validation of various systems within the pharmaceutical/biotech industry. Excellent written and spoken English is required including the preparation of technical documents in English Knowledge of requirements for a cGMP operations, including SOPs, Change Controls, Validation. Experience with developing and executing validation projects. Risk-Based Commissioning & Qualification approaches, such as ASTM E-2500 or ISPE ICQ, is considered an asset, but not required. Experience with commissioning and qualification of biotech process equipment (upstream or downstream or both), such as some, but not all, of the following: fermentation, bioreactors, downstream purification processes (chromatography, TFF, UF) is required Experience with commissioning & qualification of process control systems (i.e. PCS, SCADA, Historians) and building automation systems (i.e. Siemens Insight / Desigo, JCI Metasys) are considered an asset, but not required. Experience with Qualification or Validation of clean utilities, ISO clean rooms, and Thermal Validation is considered an asset. Experience with preparation and execution of URS's, DQ's, RTMs, Risk Assessments, CPPs, VPPs, FATs, SATs, IOQs, NCRs, Final Reports. Ability to lift 50 lbs. Engineering or Science degree, preferably in Mechanical, Electrical, Chemical, Biochemical, Electromechanical or a related discipline. Ability to handle multiple projects and work in a fast-paced environment. Strong multi-tasking skills Salary range: 100,000$ -145,000$ based on experience. Equal Employment Opportunity and Reasonable Accommodations MMR Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our hiring decisions are based on merit, qualifications, and business needs. We are committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please let us know the nature of your request.

About Us Every patient deserves fast access to life-changing medications. We're building the AI operating system that makes it happen, automating the phone calls, texts, data entry, and complex workflows that slow pharmacies down. We're backed by Gradient Ventures (Google's AI fund) with more demand than we can handle. Why we need you We're building AI-powered systems that handle real patient communication and pharmacy workflows. As an engineer, you'll work directly with our founding team to ship features end-to-end-from LLM-powered voice and text systems to integrations with pharmacy platforms. This is a hands-on, full-stack role where you'll own technical decisions that shape how our product scales. What you'll do Build and ship AI-powered voice, text, and workflow automation systems Own features end-to-end: design, implementation, deployment Create integrations with pharmacy and patient management systems Solve hard problems: LLM optimization, reliable systems on unreliable APIs, abstractions that speed up customer implementations Establish engineering patterns as we scale Must-have experience 4+ years of software engineering experience Solid programming fundamentals; Python experience a plus Hands-on experience with AI tools, APIs, or prompt engineering Track record of owning projects, not just implementing specs Nice-to-haves Experience at early-stage startups Background building LLM-powered applications Familiarity with voice/telephony systems Event driven architectures Location: Hybrid in Palo Alto (Mon/Wed/Thurs) Compensation: $175k - $250K + generous equity, full benefits, flexible PTO

We're seeking a Full Stack Software Engineer with strong backend development skills in Python and frontend expertise in React.js. You'll help design, implement, and scale full stack web applications that are secure, performant, and user-centric. Responsibilities Architect, build, and maintain backend services using Python (FastAPI, Flask, Django) Design and implement dynamic and responsive frontends using React.js and/or Vue.js Create and consume RESTful and GraphQL APIs Build reusable components and libraries for frontend use Collaborate across teams to gather requirements, define solutions, and ensure quality Optimize performance and scalability of applications Write unit, integration, and end-to-end tests across the stack Participate in peer code reviews and provide mentorship where appropriate Required Qualifications 5+ years of experience in full stack development M.S. degree in relevant domain required Proficiency with Python and one or more major web frameworks (e.g., FastAPI, Django) Advanced skills in React.js, including Hooks, Context, and state management libraries (e.g., Redux, Zustand) Experience with Vue.js or interest in working across multiple frontend frameworks Familiarity with modern frontend tooling: Webpack, Vite, Babel, ESLint Solid experience with HTML5, CSS3, SASS/SCSS, and responsive UI design Strong understanding of RESTful services, API security, and performance optimization Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL options (MongoDB, Redis) Git and CI/CD best practices (GitHub Actions, CircleCI, GitLab CI) Strong communication skills and a collaborative approach to engineering Preferred Qualifications Familiarity with TypeScript Experience with cloud platforms (AWS, GCP, or Azure) Experience with Docker, Kubernetes, or container orchestration GraphQL and Apollo Client experience Familiarity with microservice architecture Experience working with real-time data (WebSockets, MQTT)

Job title: Fullstack Engineer Job type: Full-Time Salary: $200,000+ The company: A fast-growing startup at the crossroads of AI and healthcare, this team is building voice-first, safety-driven platforms that make expert-level medical guidance accessible to everyone. Their mission centers on responsible innovation, developing AI products that are not only powerful but trustworthy and compliant with healthcare standards. The company brings together engineers, clinicians, and AI researchers from world-class organizations to create secure, human-centered systems that redefine how patients and providers interact with technology. Role and responsibilities: Build and scale B2B SaaS products and internal tools using TypeScript/React (frontend) and Python/Flask (backend). Design and maintain RESTful APIs, microservices, and data pipelines supporting intelligent healthcare applications. Collaborate cross-functionally with AI researchers, product managers, designers, and clinicians to deliver safe, performant user experiences. Contribute to mobile functionality using React Native or Flutter (nice-to-have). Review code, promote engineering best practices, and uphold product quality. Participate in agile ceremonies (sprints, stand-ups, retrospectives) and proactively address technical challenges in a fast-paced environment. Job requirements: 5+ years of experience as a fullstack or software engineer. Expert in TypeScript and React for the frontend. Professional experience with Python and Flask for the backend (Ruby or Node acceptable, but Python preferred). Strong knowledge of SQL/PostgreSQL, database schema design, and query optimization. Familiarity with cloud environments (AWS, GCP, or Azure); Terraform experience is a plus. Experience developing RESTful APIs and integrating third-party services. Solid understanding of SaaS architecture, CI/CD workflows, and version control (Git). Strong problem-solving, debugging, and collaboration skills. Comfortable working in a high-ownership, high-impact environment within a Series B startup. Excellent communication skills and ability to work closely with cross-functional teams. Must be onsite full-time in Palo Alto, CA. Nice-to-have: Experience with React Native or Flutter mobile development. Background in healthcare technology, AI integration, or voice/chat interfaces. Familiarity with Flask servers in production and infrastructure automation (Terraform + AWS). Prior experience in top engineering companies or universities.

San Francisco Bay Area A pioneering space company developing next-gen orbital mobility solutions is hiring an Avionics and Software Lead to own the full stack of spacecraft avionics and flight software for a new Spacecraft Development. This is a rare opportunity to architect, build, and validate a complete flight system from scratch, working on cutting-edge propulsion-enabled platforms designed for responsive orbital manoeuvring. In this role, you'll define the avionics architecture, lead integration of radiation-tolerant electronics, and drive flight software development-including GNC algorithms, EPS design, and hardware-in-the-loop testing. You'll collaborate closely with cross-functional engineering leads to ensure spacecraft safety, autonomy, and reliability from concept through CDR. This is a hands-on leadership role for someone excited by the challenge of building high-performance spaceflight systems in a rapid development environment. What You'll Be Doing: Own the full avionics and flight software architecture through critical design review (CDR) Select and integrate COTS radiation-tolerant components for power, compute, and data handling Lead development of flight and ground software (telemetry, real-time control, fault management) Define and implement guidance, navigation, and control (GNC) algorithms Design electrical power systems (EPS), data bus architecture, and flight harnessing Build and operate a flat-sat HIL testbed for integration and validation Develop ICDs and maintain firmware/software configuration processes Support subsystem integration and testing campaigns Conduct FMEA and reliability analyses Lead subsystem design reviews and contribute to broader mission engineering milestones What You'll Need: Bachelor's degree in software engineering, electrical engineering, or similar 8+ years of experience developing avionics or flight software for spacecraft or other high-reliability systems Strong background in embedded systems, spacecraft autonomy, or GNC Proficiency in C/C++ or Rust; Python for scripting/testing Experience with radiation-hardened processors and electronics (Microchip, Xilinx, etc.) Familiarity with CAN, SpaceWire, RS-422, and other bus protocols HIL integration experience and knowledge of EMI/EMC and power distribution design principles U.S. Person (citizenship or permanent residency) required Desirable Experience: Autonomy frameworks or fault-tolerant flight software Space-rated EPS or battery management systems Responsive space operations or in-space logistics Previous experience in a startup or fast-paced R&D environment

About Us Every patient deserves fast access to life-changing medications. We're building the AI operating system that makes it happen, automating the phone calls, texts, data entry, and complex workflows that slow pharmacies down. We're backed by Gradient Ventures (Google's AI fund) with more demand than we can handle. Why we need you We're building AI-powered systems that handle real patient communication and pharmacy workflows. As an engineer, you'll work directly with our founding team to ship features end-to-end-from LLM-powered voice and text systems to integrations with pharmacy platforms. This is a hands-on, full-stack role where you'll own technical decisions that shape how our product scales. What you'll do Build and ship AI-powered voice, text, and workflow automation systems Own features end-to-end: design, implementation, deployment Create integrations with pharmacy and patient management systems Solve hard problems: LLM optimization, reliable systems on unreliable APIs, abstractions that speed up customer implementations Establish engineering patterns as we scale Must-have experience 4+ years of software engineering experience Solid programming fundamentals; Python experience a plus Hands-on experience with AI tools, APIs, or prompt engineering Track record of owning projects, not just implementing specs Nice-to-haves Experience at early-stage startups Background building LLM-powered applications Familiarity with voice/telephony systems Event driven architectures Location: Hybrid in Palo Alto (Mon/Wed/Thurs) Compensation: $175k - $250K + generous equity, full benefits, flexible PTO

We're seeking a Full Stack Software Engineer with strong backend development skills in Python and frontend expertise in React.js. You'll help design, implement, and scale full stack web applications that are secure, performant, and user-centric. Responsibilities Architect, build, and maintain backend services using Python (FastAPI, Flask, Django) Design and implement dynamic and responsive frontends using React.js and/or Vue.js Create and consume RESTful and GraphQL APIs Build reusable components and libraries for frontend use Collaborate across teams to gather requirements, define solutions, and ensure quality Optimize performance and scalability of applications Write unit, integration, and end-to-end tests across the stack Participate in peer code reviews and provide mentorship where appropriate Required Qualifications 5+ years of experience in full stack development M.S. degree in relevant domain required Proficiency with Python and one or more major web frameworks (e.g., FastAPI, Django) Advanced skills in React.js, including Hooks, Context, and state management libraries (e.g., Redux, Zustand) Experience with Vue.js or interest in working across multiple frontend frameworks Familiarity with modern frontend tooling: Webpack, Vite, Babel, ESLint Solid experience with HTML5, CSS3, SASS/SCSS, and responsive UI design Strong understanding of RESTful services, API security, and performance optimization Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL options (MongoDB, Redis) Git and CI/CD best practices (GitHub Actions, CircleCI, GitLab CI) Strong communication skills and a collaborative approach to engineering Preferred Qualifications Familiarity with TypeScript Experience with cloud platforms (AWS, GCP, or Azure) Experience with Docker, Kubernetes, or container orchestration GraphQL and Apollo Client experience Familiarity with microservice architecture Experience working with real-time data (WebSockets, MQTT)