92 jobs found in Palo Alto

BluBiz Solutions is seeking a technically proficient and ambitious Solutions Architect with hands-on expertise in networking, cybersecurity, and cloud technologies. This dynamic role is suited to someone who thrives on solving complex challenges, working directly with clients and internal teams to design secure, scalable, and innovative IT solutions. This role is ideal for individuals who not only possess deep technical expertise but are also eager to expand their scope into presales, solution design, and strategic consulting. You'll work across a broad portfolio of technologies and industries, contributing directly to the success of projects and customer outcomes. Responsibilities Design and document end-to-end solutions across networking, cloud, and cybersecurity domains. Act as a trusted advisor to clients, helping translate business requirements into technical architecture. Collaborate with internal technical, delivery, and sales teams to create solutions that are secure, practical, and future-proof. Provide guidance on implementation best practices, security frameworks, and industry standards. Participate in technical workshops, presentations, and client meetings as needed. Assist in evaluating new technologies and platforms that align with client and company strategies. Contribute to knowledge sharing, mentoring, and capability development within the team. Required Experience 5+ years of hands-on experience in one or more of the following domains: networking, cybersecurity, and cloud platforms. Strong working knowledge of technologies from major vendors such as Cisco, Fortinet, Microsoft, AWS, and Palo Alto Networks. Experience in developing solution architectures or high-level designs. Strong communication skills and the ability to engage with technical and non-technical stakeholders. Familiarity with architectural frameworks and cybersecurity standards, such as NIST and ISO 27001. Certifications (Required and Preferred) Essential: Certifications in relevant domains such as: Microsoft (e.g., Azure Solutions Architect, Security Engineer) Fortinet (e.g., NSE4 or above) Highly Desirable: CISSP or equivalent cybersecurity certification This role offers significant exposure to both technical consulting and business development, making it an excellent opportunity for someone looking to transition into: Presales / Solution Consulting Technology Leadership Security or Cloud Architecture Specialisation We support continuous learning and offer tailored development paths aligned to your interests and the evolving needs of the business. Apply Now BluBiz Understands that to survive and thrive in today's competitive business environment, enterprises must be efficient and agile, ready to capitalise on opportunities and react quickly to market events. IP & Data Networks In today's data-dependent world, network speed and reliability are paramount. A secure and reliable network is the key to optimize, simplify and extend the reach of your business. Security Today's digital world has created endless opportunities for businesses and society. However, it also creates vulnerabilities that malicious people seek to exploit, which require adequate attention. Unified Communications Unified communications is a system that merges separate modes of communication into a single, combined user experience.

About Arc Institute The Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley. While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include: Funding: Arc will fully fund Core Investigators' (PIs') research groups, liberating scientists from the typical constraints of project-based external grants. Technology: Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators. Support: Arc aims to provide first-class support-operationally, financially and scientifically-that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction. Culture: We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration. Arc has scaled to nearly 200 people. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly in the coming years. About the position We are searching for an experienced and collaborative machine learning research engineer focused on advancing the frontiers of biological foundation models. This role will contribute to the development and application of Arc's frontier DNA foundation model (Evo), Arc's Virtual Cell Initiative focused on developing cell biological models capable of predicting the impact of perturbations and stimuli, and other projects in the context of Institute wide machine learning efforts. About you You are an innovative machine learning engineer with a deep understanding of ML principles, enabling you to design, modify, and critically evaluate model architectures, not just apply existing ones. You have significant experience in training large deep learning models. You enjoy thinking from first principles, seeking to deeply understand the data and its underlying dynamics to drive effective and innovative modeling strategies. You are excited about working closely with a multidisciplinary team of computational and experimental biologists at Arc to achieve breakthrough capabilities in biological prediction and design tasks. You are a strong communicator, capable of translating complex technical concepts to researchers outside of your domain. You are a continuous learner and are enthusiastic about developing and evaluating a model that impacts many biological disciplines. In this position, you will Actively participate in the design, implementation, and refinement of state of the art foundation models developed in collaboration with other ML researchers and scientists at Arc with the goal of understanding and designing complex biological systems. Engineer large scale distributed model pretraining and pipelines for efficient model inference. Enable robust systematic evaluation of trained models. Stay up to date with the latest advancements in technologies for large scale sequence modeling and alignment, and implement the most promising strategies to ensure the underlying models remain state of the art. Work with experimental biologists to ensure that the developed models are grounded in biologically meaningful problems and evaluations. Publish findings through journal publications, white papers, and presentations (both internal to Arc and external). Foster internal and external collaborations centered on generative design of biological systems at Arc Institute. Commit to a collaborative and inclusive team environment, sharing expertise and mentoring others. Job Requirements B.S., M.S. or Ph.D. in Computer Science, Machine Learning or a related field. Minimum of 5 8+ years of relevant experience in machine learning research or ML engineering in an academic (e.g., Ph.D.) or industry research lab. Well versed in machine learning frameworks such as PyTorch or JAX. Experience with developing distributed training tools such as FSDP, DeepSpeed, or Megatron LM. Excellent communication skills, both written and verbal, with a strong track record of presentations and publications. Ability to communicate and collaborate successfully with biologists and software/infrastructure engineers. Motivated to work in a fast paced, ambitious, multi disciplinary, and highly collaborative research environment. The base salary range for this position is $168,000 $242,500. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.

A leading precision oncology company in Palo Alto is seeking an experienced Enterprise Architect to oversee and evolve its technology ecosystem as it scales significantly in the next two years. This role involves defining architectural standards, guiding platform development, and ensuring systems are secure and compliant. The ideal candidate will have extensive experience in cloud environments, particularly AWS, and a strong background in enterprise architecture. This position offers a hybrid work model and competitive salary.

A cybersecurity startup is seeking a Director of Alliances / Business Development to build and scale their partner ecosystem. You will drive strategic alliances across various sectors, including cloud and data platforms, and work closely with cross-functional teams. The ideal candidate has robust experience in partnership development within the cybersecurity field, with significant expertise in managing relationships with key partners like Snowflake and Databricks. Competitive benefits and opportunities for advancement are provided.

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. EXPECTATIONS AND TASKS This is a customer facing role where you will support the sales teams during the entire cycle of a Cloud deal. Following are the key tasks that this role will perform: Present in detail the RISE with SAP Private Cloud, S/4 HANA Cloud Extended Edition offering. Present the requirements and value proposition for SAP private cloud on hyperscalers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Conduct assessment workshops with customers to define the future Cloud architecture and plan the migration roadmap together with partners, System Integrators, and or SAP Professional Services. Guide customer discussions around Business Continuity, Security & Compliance, Networks etc. Work with bid teams to generate pricing and provide ongoing deal support to sales teams. Own the technical discussions with the customer and act as the orchestrator of experts to obtain expertise from the SAP delivery organization as required. EDUCATION AND QUALIFICATIONS / SKILLS AND COMPETENCIES Fluency in English is a MUST, any other language an asset. High proficiency in the SAP product portfolio, offerings, and industry solutions. Good understanding of SAP solutions (releases, platform interdependencies etc.) Good understanding of operational aspects (Application or Technical) of SAP solutions in a cloud environment. Good understanding of capabilities of at least one Hyperscaler (AWS, MS Azure, or GCP) Ability and willingness to be part of a global team of Cloud Architects. Willingness to undertake customer related travel on short notice. Bachelor's / Master's degree in Engineering or Computer Science, Business Administration required from an accredited university. High proficiency in customer communications and presentations is required. WORK EXPERIENCE 8 years experience with customer facing SAP Technology Consulting (e.g. Basis Admin, DB Admin, Migrations, Upgrades, Business Continuity, Operations etc.) in large-scale customer environments. 8 years experience with solution design, enterprise architecture and/or SAP implementation. Experience in a customer facing pre-sales role is an advantage. Understanding of United States Government Cloud System Requirements (NIST, ITAR, FedRAMP, etc.) Experience working with Aerospace and Defense customers is a plus. Experience with IaaS Providers (AWS, MS Azure or GCP) and data centers is a big advantage. SAP HANA and S/4 HANA skills would be very helpful but not mandatory. Compensation Range Transparency SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step towards demonstrating SAP's commitment to pay equity. The targeted combined range for this position is $137,300 - $294,000 (USD). The actual amount to be offered to the successful candidate will be within that range. Equal Employment Opportunity Statement Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Disability Accommodation SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to . Requisition Information Requisition ID: 439165 Work Area: Sales Support Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations:

Pivotal is looking for a new Senior Avionics Firmware Engineer. Pivotal is the leader in the emerging market of electric Vertical Takeoff and Landing (eVTOL) aircraft. They design, develop, and manufacture light eVTOL aircraft and are renowned for the BlackFly, the first light eVTOL to fly manned missions and enter the consumer market. Efficient, compact, and simple, Pivotal vehicles are designed for a wide range of consumer, public service, and defence applications. Their distinctive tilt-aircraft architecture and scalable platform have been in development, preparing to enter the market for over 10 years. They recently announced their next-generation aircraft, the Helix, planned for general release and scalable production in January 2024. Mobility is one of the most highly-valued areas of technology investment today. This is the right company, in the right space, the right strategy, at the right time. They invite you to join their amazing team and grow with them. About the job : As part of the Firmware Engineering team, you will drive the development and maintenance of the manufacturing test systems used for eVTOL aircraft. Responsibilities : Design and implement full avionics embedded firmware Oversee firmware architecture for all avionics Ensure development can conform to DO178-C Oversee and conduct trade studies between different design considerations Design and recommend sensor interfaces Implement code and V&V Collaborate with the systems engineering and other engineering specialty teams to define requirements related to the eVTOL aircraft and systems safety Qualifications : Undergraduate or graduate degree in Electrical or Computer Engineering 8+ years of professional engineering experience Experience with DO178-C regulatory process One or more products from concept to aircraft production Extensive experience with low level interfaces e.g., SPI, I2C, CAN FD, and UARTs Experience writing firmware (C/C++) for MCUs in embedded systems Experience writing python scripts and python development Experience reading circuit schematics with schematic capture tools Proficient at troubleshooting circuits with appropriate lab tools 10+ years of relevant experience with embedded development M.S. or Ph.D. in Computer Science or Engineering Experience with statistical analysis Experience taking at least one product through the entire development process Familiarity/ experience with one or more of the following : FAA Aircraft Certification Process Defenses Airworthiness Process for Software Prototype and medium volume manufacturing Lithium-based battery testing/monitoring Interest in RC planes, quadcopters, or aviation Personal attributes : Resourceful, curious, and never satisfied with the status quo Always thinking about how to make things more efficient Thrive in a fast-moving, stimulating, and supportive team environment Strong work ethic and detail-oriented Love learning and being challenged

COMPANY DESCRIPTION: Anvilogic is a Palo Alto-based AI cybersecurity startup founded in 2019 by security veterans and data scientists from Fortune 500 companies. Our mission is to democratize threat detection and hunting for today's SOC teams to easily be done across hybrid, multi-clouds and security data lakes without needing to centralize data or rip and replace tools. Further, with our investments in AI-powered automation of detection-as-code to create, test, tune and deploy detections, SOC users can implement high-efficacy detection and hunting techniques without writing a single line of code nor manually wrangling data. Anvilogic raised $45M Series C funding in April 2024 and is backed by top-tier VC firms and prominent industry executives. Anvilogic's AI-powered Multi-Data Platform SIEM is used by many of the industry's most advanced security teams. Learn about our customers: JOB DESCRIPTION Join our established and collaborative team building critical product features that directly impact company revenue. We own and operate core services-including AI-driven workflows and multi-platform data querying-that are central to our success. This is a high-impact role where your work will be closely aligned with both product strategy and customer value. Role Responsibilities Write clean, maintainable, and well-tested code following engineering best practices. Collaborate across teams, including engineering, product, qa, and data science, to define and deliver high-quality solutions. Contribute to system design, technical specifications and architecture decisions. Monitor production systems, respond to alerts and troubleshoot issues when they arise. Review pull requests and provide constructive feedback to uphold code quality standards. Take initiative being a technical leader on the team. Minimum Qualifications 5+ years of software development experience with fluency in Python 3 Excellent written and verbal communication skills Solid understanding of relational databases and ORM tools (e.g., SQLAlchemy) Hands-on experience building REST APIs using frameworks like Flask, FastAPI, or Django Experience in designing and building large systems (microservices, queues, schedules). Strong experience with test-driven development and writing functional/integration tests Familiarity with AWS services (Lambda, SQS, ECS, etc.) Familiarity with CI/CD practices and tools to support automated testing and deployment pipelines Preferred Qualifications Experience working with Large Language Models (LLM), implementing standard patterns (Agents, RAG, Tools), and leveraging popular frameworks. Experience deploying services using infrastructure-as-code (AWS SAM, CloudFormation, CDK). Experience querying datalakes or SIEMs (Snowflake, Databricks, Azure, Splunk, etc.) Background in cybersecurity or experience working with security operations teams Familiarity with security data (e.g., endpoint and network logs) Benefits US Salary Transparency: The base salary range for this full time position is $160,000-$190,000 + equity + benefits. Final compensation will depend on experience, qualifications, and location. Comprehensive medical, dental, and vision insurance Unlimited paid time off policy for work life balance 401(k) retirement plan with company match Monthly stipend for home internet and cell phone expenses

Machine Learning Researcher / ML-Ops Engineer About Rivet Rivet is an American company building integrated task systems - fusing hardened hardware with software, sensors, AI, and networking - for industrial workforces and defense personnel. We create capabilities that multiply the effectiveness of every individual and withstand the world's toughest environments. We serve the people who build, operate, maintain, and defend our way of life. From technicians and engineers to first responders and service members, they embody the hard work, ingenuity, and meritocratic values that drive Western prosperity. Yet too often they are forced to rely on outdated tools that fail under modern pressures. Rivet exists to reset that priority. At Rivet, you'll join a mission-driven team that fuses disciplines to deliver decisive outcomes where they matter most. Whether shaping our technology, strengthening our partnerships, or building our culture, every role here contributes to equipping the front lines with the modern systems they deserve. Who Thrives Here People with a deep disdain for bureaucracy, empire building, groupthink, dogma, corporate babble, and wasted time Teammates who want to work exclusively alongside others at the top of their field Experienced, no-nonsense professionals who are execution-focused and deliver high-quality solutions above all else Role Description We are seeking a talented ML Research Engineer to advance our computer vision and sensor fusion capabilities. This role combines cutting edge research with practical implementation of machine learning pipelines for imaging, pose estimation, and model optimization. The ideal candidate will have strong expertise in Python, deep learning frameworks, and experience deploying ML models in production environments. You'll explore new ideas, validate them against the state of the art and deliver working prototypes that influence our product and research direction. Role Objectives Implement POCs in Python/C++ to validate ML ideas on embedded hardware Conduct research in imaging and video processing pipelines for AR/VR applications Document learnings and define clear pathways from prototype to production Research and implement model optimization techniques for edge deployment Stay current with latest developments in computer vision and machine learning literature Prototype novel algorithms and validate performance through experimentation Design and implement end-to-end machine learning pipelines using PyTorch and TensorFlow Lite Optimize models for real-time performance on mobile and embedded platforms Implement MLOps best practices for model versioning, monitoring, and continuous integration Create scalable data preprocessing and augmentation pipelines Role Requirements BS with 5+ years of academic or industry experience in machine learning research or applied ML engineering with shipped or published work (or MS with 2+ yrs of the above) Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow) Experience with ML pipeline development, model deployment, and production monitoring Knowledge of quantization, pruning, and edge deployment techniques Imaging/Video Pipeline: Experience with computational photography, video processing, or camera systems Sensor Fusion & Pose Estimation: Research background in multi-sensor data fusion, tracking, or SLAM Model Optimization: Experience optimizing ML models for mobile/embedded deployment Foundational Knowledge (preferred understanding) Camera Systems: Intrinsic/extrinsic calibration, pinhole model, distortion correction, FOV, color science, exposure control, stereo matching Image Processing: Demosaic, denoising, sharpening, color correction, tone mapping, gamma correction, HDR, super resolution, segmentation, white balance Computer Vision: Feature detection/matching, optical flow, structure from motion, 3D reconstruction, SLAM algorithms IMU & Sensor Fusion: 6DOF/3DOF tracking, gyroscope/accelerometer/magnetometer integration, sensor calibration, sensor fusion algorithms Preferred Qualifications PhD in Computer Vision, Machine Learning, or related field Publications in top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICML) Experience with AR/VR or mobile computer vision applications Knowledge of CUDA programming and GPU optimization Experience with cloud platforms (AWS, GCP, Azure) for ML workloads Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines Experience with distributed training and large-scale data processing

Anvilogic is a Palo Alto-based AI cybersecurity startup founded in 2019 by security veterans and data scientists from Fortune 500 companies. Our mission is to democratize threat detection and hunting for today's SOC teams to easily be done across hybrid, multi-clouds and security data lakes without needing to centralize data or rip and replace tools. Further, with our investments in AI-powered automation of detection-as-code to create, test, tune and deploy detections, SOC users can implement high-efficacy detection and hunting techniques without writing a single line of code nor manually wrangling data. Anvilogic raised $45M Series C funding in April 2024 and is backed by top-tier VC firms and prominent industry executives. Anvilogic's AI-powered Multi-Data Platform SIEM is used by many of the industry's most advanced security teams. Learn about our customers. JOB DESCRIPTION As a Senior Software Engineer, Data at Anvilogic, you are responsible for designing, building, and operating our high scale data ingestion pipelines. You will work directly on company critical projects related to how our users' data is brought into our data stores, normalized across different data stores, and exposed for analysis, using technologies such as AWS, Azure, Snowflake, Databricks, and Splunk. Design, build, and operate data ingestion and normalization pipelines Work with product management teams to map out non-functional requirements and implement those requirements in your services Deploy and monitor resources in cloud and data lake providers Spread knowledge of data pipeline best practices throughout Anvilogic through mentorship, documentation, and brown bag sessions Minimum Qualifications 4+ years of software development experience Excellent written and verbal communication skills Experience with data lakes such as Snowflake or Databricks Experience with cloud providers such as AWS, GCP, or Azure Experience with defining non-functional requirements, measuring SLOs, and balancing tech foundation and product timelines Ability to quickly come up to speed on our data pipeline techstack, which uses Python deployed on Snowflake and Databricks via AWS, Azure, and GCP. Preferred Qualifications Experience with ingesting large amounts of user data into Snowflake or Databricks Experience deploying services using infrastructure-as-code (Terraform, AWS SAM, CloudFormation, or CDK). Experience with observability technologies like Grafana and Sentry Some experience with LLMs, implementing standard patterns (Agents, RAG, Tools), and leveraging popular frameworks. Familiarity with security data (e.g., endpoint and network logs) Benefits US Salary Transparency: The base salary range for this full time position is $160,000-$190,000 + equity + benefits. Final compensation will depend on experience, qualifications, and location. Competitive salary with equity in the company Comprehensive medical, dental, and vision insurance Unlimited paid time off policy for work life balance 401(k) retirement plan with company match Monthly stipend for home internet and cell phone expenses

A global financial services firm is seeking a Principal AI/ML and Gen AI Engineer to join their innovative team. This role focuses on designing and scaling AI/ML infrastructure on AWS, optimizing machine learning models, and leading the productionalization of Gen AI use cases. The ideal candidate should have over 8 years of experience in AI/ML engineering, with strong skills in AWS, Databricks, and LLM Ops. This position offers an exciting opportunity to influence and drive change within the organization.

At Protegrity, we lead innovation by using AI and quantum-resistant cryptography to transform data protection across cloud-native, hybrid, on-premises, and open source environments. We leverage advanced cryptographic methods such as tokenization, format-preserving encryption, and quantum-resilient techniques to protect sensitive data. As a global leader in data security, our mission is to ensure that data isn't just valuable but also usable, trusted, and safe. Protegrity offers the opportunity to work at the intersection of innovation and collaboration, with the ability to make a meaningful impact on the industry while working alongside some of the brightest minds. Together, we are redefining how the world safeguards data, enabling organizations to thrive in a GenAI era where data is the ultimate currency. If you're ready to shape the future of data security, Protegrity is the place for you. Protegrity is looking for a Machine Learning Engineer (PhD or MS Required) Location: Menlo Park, CA (In-office, Mon-Thu) The global data privacy software market is projected to grow from $2.36 billion in 2022 to $25.85 billion by 2029. Join us on this journey and make an impact with one of the top 25 global software providers. We look forward to making our world become a better place with you on our team. About the Role This role is designed for a PhD or MS graduate in Computer Science with 2+ years of GenAI experience or equivalent technical projects. You'll work on securing AI workflows and building agentic tools in a collaborative, fast-paced environment. Responsibilities Develop and test GenAI architectures using agentic coding IDEs. Conduct experiments and summarize findings. Present research and experimental results to the team. Fine-tune LLMs and embedding models. Apply ML algorithms to large datasets. Process structured and unstructured data. Participate in architectural design and roadmap discussions. Qualifications PhD or MS in Computer Science. 2+ years GenAI experience or equivalent projects. 3-5 years Python experience. Experience with PyTorch, TensorFlow. Solid understanding of ML algorithms and metrics. Exposure to data security practices. Strong collaboration and learning mindset. Why Choose Protegrity Become a member of a leading Data Protection, Privacy and Security company during one of the best market opportunities to come along in a generation. Competitive Compensation/Total Reward Packages that include: Health Benefits (Health/Dental/Vision) Paid Time Off (PTO) 401K Annual Bonus Incentives Short and Long Term Disability Work on global projects with diverse, energetic, team members who respect each other and celebrate differences Talent First Workforce Should you accept this position, you will be required to consent to and successfully complete a background investigation. This may include, subject to local laws, verification of extended education and additional criminal and civil checks. We offer a competitive salary and comprehensive benefits with generous vacation and holiday time off. All employees are also provided access to ongoing learning & development. Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All qualified applicants and current employees will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or veteran status. Please reference Section 12: Supplemental Notice for Job Applicants in our Privacy Policy to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Protegrity USA, Inc., or its parent company, subsidiaries or affiliates, and the purposes for which we use such personal information.

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary As a Senior Software Engineer on the Factory Software team, you will develop software, services, and applications to support ultra high speed manufacturing. You will identify and solve challenges by implementing cutting edge technologies such as machine vision, distributed message buses, and virtualization in the manufacturing process. Your software design responsibilities will include creating robust, reliable, and maintainable systems. To help Rivian produce factories efficiently, you will collaborate with cross functional teams to foster a cohesive environment. This role involves assisting with design reviews, commissioning, and establishing deployment and test plans during new factory builds. You will monitor high level project goals and ensure success by identifying challenges early and proactively working to mitigate them. This position can be located at our facilities in Normal, IL, Palo Alto, CA, or Irvine, CA, and reports to the Senior Manager of Software Engineering. Responsibilities Contribute to the development of software standards and specifications by providing feedback on lessons learned and project gaps. Proactively review and approve merge requests (MR) with development teams. Guide teams in the proper deployment of Rivian software and enforce best practices. Qualifications 5+ years of software development experience in a test driven environment. Proficiency in one or more of the following languages: C, C++, Go (preferred), Rust. Bachelor's/Master's in Software Engineering (or equivalent experience). Experience designing software for streaming mechanisms (NATS, Kafka, RabbitMQ, Pulsar, etc.). Familiarity with source control systems (e.g., Gitlab, Bitbucket) and tools like JAMA and JIRA. Experience with automated testing and continuous integration frameworks. Strong understanding of caching, authentication, authorization, and privacy considerations. Comfortable with SDLC best practices and version controlled software. Experience in designing and developing high performance software. Solid understanding of Linux, or real time operating systems. Experience with systematic troubleshooting and root cause analysis. Approximately 30% travel, or as required by the team. Preferred Qualifications Knowledge of Kubernetes (K8s), Git, Bazel, Jenkins, GitLab, Vault, or automotive systems is a plus. Experience with APIs (e.g., gRPC, HTTP) and database systems. Experience working on Manufacturing Execution Systems (MES) is a plus. Pay Disclosure Salary Range/Hourly Rate for Palo Alto, California based applicants: $146,900- $183,600 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental and vision insurance packages for full time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment. Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at . Candidate Data Privacy Rivian and VW Group Technologies ("Rivian and Volkswagen Group Technologies") may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. Please note that we are currently not accepting applications from third party application services.

Overview Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, has recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. If you are passionate to work on unstructured business problems that can be solved using data and excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you. Responsibilities Data Security Analysis: Assess current data access policies, security protocols, and data classification procedures. Identify data security risks and recommend mitigation strategies. Define data access control requirements for the UAM framework. Databricks Component Design: Create detailed design of data access control mechanisms within Databricks using appropriate features. Create integration guidelines to configure and integrate Databricks with other existing security tools relevant to data access control. Create pseudo code for auto-classification, auto-tagging, and data usage logging within Databricks. Collaboration & Documentation: Collaborate with the Platform Architect to ensure alignment between data security controls and the overall UAM architecture. Document the design and implementation of data access control within Databricks. Qualifications Min. 12+ years of experience working in Data Engineering Field Strong understanding of data security principles and best practices. Expertise in Databricks platform, security features, Unity Catalog, and data access control mechanisms. Experience with data classification and masking techniques. Strong coding skills in Python or Scala. Excellent analytical, problem-solving, and communication skills. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Senior Software Engineer (Ancestry) page is loaded Senior Software Engineer (Ancestry)locations: Palo Alto (HQ)time type: Full timeposted on: Posted 13 Days Agojob requisition id: andMe Research Institute is looking for an experienced, self-directed Senior Software Engineer for the ancestry services and compute pipelines engineering team. We are responsible for designing, building, and managing large scale services at 23andMe Research Institute that serve both external and internal customers. We support backend services that are critical to customers' experience on the website, build libraries in support of internal research, power machine learning and model development. We are passionate about building services that are performant, scalable, reliable, and secure. 23andMe Research Institute has one of the largest databases of genetic data and the challenges we deal with and solve are unique. You will work within a collaborative environment of small fast-paced development teams. Come join us in our mission to be the world's trusted source of personal genetic information! Who We Are We are a group of individuals passionate about genetic discovery. 23andMe Research Institute is a nonprofit medical research organization that enables people everywhere to access their genetic information, learn about themselves, and participate in the world's largest crowdsourced research initiative. The Institute aims to be the world's most significant contributor to scientific advancement, uniting people with the common goal of improving health and deepening our understanding of DNA - the code of life. What You'll Do Design, develop and maintain reliable scalable services, backend APIs and web applications to solve complex large scale engineering challenges at 23andMe Research Institute Develop and support compute pipelines that provide results to customers and internal teams Take part in on call rotations for the operational support for mission critical systems Build and rely on CI/CD methods and automatic testing to ensure reliable code, continuously delivered Collaborate with other engineering teams, product, security to deliver on strategic projects as well as maintain operational excellence of existing services Drive technical excellence through code and design reviews What You'll Bring B.S. in Computer Science or equivalent education, plus 5 years industry experience Expertise building libraries and services in Python, ideally in AWS Passion for backend systems engineering Hands-on experience working with CI/CD deployment pipelines, Docker containers, and testing frameworks A team player attitude with comfortability operating in a highly collaborative environment Tools and Systems We Use and Teach AWS, Terraform, CloudFormation Python Django, FastApi Celery Metaflow Docker, Drone HBase, Spark 23andMe, headquartered in California, is a leading consumer genetics and research company. The company's mission is to help people access, understand, and benefit from the human genome. 23andMe has pioneered direct access to genetic information as the only company with multiple FDA authorizations for genetic health risk reports. The company has created the world's largest crowdsourced platform for genetic research, with 80 percent of its customers electing to participate. 23andMe research participants consent to research conducted by 23andMe which is overseen by an independent third-party Institutional Review Board (IRB) regulated under the 'Common Rule' (45 CFR part 46). More information is available at . At 23andMe, we value a diverse, inclusive workforce and we provide equal employment opportunity for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application because of incompatible assistive technology or a disability, please contact us at . 23andMe will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law. Please note: 23andMe does not accept agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you. Pay Transparency 23andMe takes a market-based approach to pay, and amounts will vary depending on your geographic location. The salary range reflected here is for a candidate based in the San Francisco Bay Area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.San Francisco Bay Area Base Pay Range$165,000-$215,000 USDlocations: Palo Alto (HQ)time type: Full timeposted on: Posted 13 Days Ago

We're looking for a Senior Engineer to help build the next-generation inference platform that supports embedding models used for semantic search, retrieval, and AI-native experiences in MongoDB Atlas. You'll join the broader Search and AI Platform organization and collaborate with ML researchers and engineers from our Voyage.ai acquisition. Together, we're building infrastructure for real-time, low-latency, and high-scale inference - fully integrated with Atlas and designed for developer-first experiences. As a Senior Engineer, you'll focus on building core systems and services that power model inference at scale. You'll own key components of the infrastructure, work across teams to ensure tight integration with Atlas, and contribute to a platform designed for reliability, performance, and ease of use. We're looking to speak with candidates in Palo Alto for our hybrid working model. What You'll Do Design and build components of a multi-tenant inference platform integrated directly with MongoDB Atlas, supporting semantic search and hybrid retrieval Collaborate with AI engineers and researchers to productionize inference for embedding models and rerankers - enabling both batch and real-time use cases Contribute to platform capabilities such as latency-aware routing, model versioning, health monitoring, and observability Improve performance, autoscaling, GPU utilization, and resource efficiency in a cloud-native environment Work across product, infrastructure, and ML teams to ensure the inference platform meets the scale, reliability, and latency demands of Atlas users Gain hands-on experience with tools like vLLM and container orchestration with Kubernetes Who You Are 5+ years of experience building backend or infrastructure systems at scale Strong software engineering skills in languages such as Go, Rust, Python, or C++, with an emphasis on performance and reliability Experienced in cloud-native architectures, distributed systems, and multi-tenant service design Familiar with concepts in ML model serving and inference runtimes, even if not directly deploying models Knowledge of vector search systems (e.g., Faiss, HNSW, ScaNN) is a plus Comfortable working across functional teams, including ML researchers, backend engineers, and platform teams Motivated to work on systems integrated into MongoDB Atlas and used by thousands of developers Nice to Have Experience integrating infrastructure with production ML workloads Understanding of hybrid retrieval, prompt-driven systems, or retrieval-augmented generation (RAG) Contributions to open-source infrastructure for ML serving or search Why Join Us Be part of building the AI foundation of the world's most popular developer data platform Collaborate with ML researchers from Voyage.ai to bring novel ideas into scalable systems Tackle challenging problems in inference, observability, and distributed infrastructure Work in a culture that emphasizes mentorship, ownership, and technical excellence About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB's unified database platform-the most widely available, globally distributed database on the market-helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers-including 75% of the Fortune 100 and AI-native startups-relying on MongoDB for their most important applications, we're powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB. MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions 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. MongoDB's base salary range for this role in the U.S. is:

Leverage common patterns to develop fixes and features for Kubernetes and CNCF projects Design customer-oriented and community-aligned features by building consensus through Key Enhancement Proposals (KEPs) or related open source contribution process Ensure explicit Kubernetes version and feature compatibility with continual improvements to automation, pipelines and testing Timely delivery of releases which meet SLAs, architecture, security, and compliance requirements Leverage your own credibility through community interactions and positive contributions Collaborate internally with stakeholders from product, security, infrastructure, and operations teams You're seen as an internal expert, advising and influencing across VCF You understand the vision, architecture, and data model of the VKS and Kubernetes Distributions You have familiarity with common Kubernetes interfaces for runtime, networking, storage, and resource management You have production experience with deploying additional packages You ensure different components and subsystems work well together You have an in-depth understanding of Kubernetes extensibility and reconciliation logic You will demonstratedly design, implement, test, and deploy services developed in Go You champion technologies that boost project speed and automation. You understand how to meet Broadcom and industry standards You're great at aligning future customer needs with community interests in technical areas You're a recognized technical and community leader across various projects You designed and got approval for a Kubernetes KEP You've consistently made an impact on upstream projects through your contributions to code, architecture, community management, and public representation You made available a new CNCF software component or had material impact for other features for VCF You define and implement process changes, helping to clear out technical debt and make architectural improvements You lead developer efficiency efforts and take personal ownership of improving the culture of innovation of the team You mentor fellow engineers in their role, and coaching them into influential voices in the department Most of your time will be developing using Kubernetes controllers and patterns, mostly written in Go You will collaborate with a global community of engineers in various CNCF open source projects You will be responsible for delivering your code changes to open source projects and satisfying any requirements for contribution You'll work closely with management to understand priorities and advocate for them on the team. You will collaborate internally with set of stakeholders, leads, and team members to make projects or contributions available as features You'll be responsible for high-level epics and be asked to help define requirements and tangible deliverables. You will be expected to break down the work into individual work items that can be assigned to the team and lead in estimating and scoping. You will write automated tests to validate and secure critical customer functionalities. You will mentor junior engineers, providing technical leadership on complex problems, and contributing to plans for new product opportunities. You will identify key issues, anticipate problems, generate ideas to reduce costs and improve quality/efficiency, and proactively identify improvements to business processes and policies. You will take on-call responsibilities to triage, troubleshoot, and mitigate production issues. Kubernetes expertise and material engineering contribution to at least 1 CNCF project and various OSS projects Experience with one or more cloud platform architectures History of leading system software projects/teams. Good knowledge of distributed systems, databases, algorithms, data structures. Good verbal and written communication skills Bachelor's degree plus 12+ years of related experience or Master's degree plus 10+ years of related experience vSphere experience Extensive knowledge and experience using and delivering complex container, kernel, packaging, and operating system functionality. Operational knowledge of Kubernetes in production environments Material contribution to 2+ CNCF projects or Kubernetes SIG projects, ie. + Kubernetes, Cluster API, ContainerD/RunC, Cluster Autoscaler, Metrics Server, ArgoCD, Certmanager, Flux, Gateway API, Etcd, Harbor, Helm, Istio, Jaeger, KEDA, Kubeadm, Kubeflow, Kuve-vip, Kyverno, OPA/Gatekeeper, Opentelemetry Compensation and Benefits Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence.

About Us Pathway is shaking the foundations of artificial intelligence by introducing the world's first post-transformer model that adapts and thinks just like humans. Pathway's breakthrough architecture (BDH) outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. The company is trusted by organizations such as NATO, La Poste, and Formula 1 racing teams. Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Goeff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. The company is backed by leading investors and advisors, including TQ Ventures and Lukasz Kaiser, co-author of the Transformer ("the T" in ChatGPT) and a key researcher behind OpenAI's reasoning models. Pathway is headquartered in Palo Alto, California. The Opportunity We are currently seeking our first few AI Solutions Architects with a strong track record in specing and deploying machine learning/AI models in customers' environments. These are customer-facing roles. As a Solutions Architect at Pathway, you will be instrumental in bringing Pathway's breakthrough architecture BDH to strategic enterprises. You'll work directly with our highest-impact design partners -handpicked global organizations pushing the boundaries of AI -to co-create production-grade applications of this architecture. You'll work closely with Pathway's go-to-market team and research engineers to translate BDH's core capabilities-continuous learning, efficiency, interpretability-into scalable reference architectures across our client base. This role works cross-functionally with Sales, Product, R&D, and Engineering to ensure technical success, customer adoption, and rapid feedback into our roadmap. You Will Ideate, scope, and build pre-sales technical solutions/reference architectures for BDH deployment within enterprise customer segments. Partner with our engineers to deploy BDH directly in customer environments, demonstrating measurable improvements over static models. Collaborate with hyperscaler partners to align BDH deployments with cloud-native infrastructure, security standards, and co-sell motions. Create solutions and content to accelerate the GTM motion Partner with GTM to lead technical discovery workshops with CTOs and heads of AI/Innovation Serve as the bridge between customer environments and Pathway's research teams, synthesizing feedback on BDH's performance, tooling, and integration needs into actionable insights for Product and R&D Develop reusable solution patterns for enterprise customers as we scale Codify best practices into internal playbooks and technical documentation to scale BDH' enterprise readiness What We Are Looking For Have 5+ years of experience in technical consulting, solutions engineering, or applied AI roles-ideally at a foundational AI model player, an AI scale-up Have some familiarity with building APIs, data pipelines, and ML integrations Have a good understanding of generative AI architectures, including experience using or deploying AI models (flagship LLMs / open source LLMs / SLMs) Have strong systems thinking, ability to map business problems to technical architectures, and anticipate scaling, latency, and operational cost implications Effective communication, ability to translate business and technical topics to all audiences, including senior leaders Eager to own problems end-to-end and fill missing gaps to get the job done Comfort operating in early-stage companies, willing to build out our solution playbook Humility, collaboration, and a builder mentality Ability to travel up to 50%. Are respectful of others. Are fluent in English. Why Join Pathway? Lead the first real-world deployments of a next-generation AI model that's redefining the foundations of how intelligence is built and applied. Work in a fast-paced, high-growth environment (HQ in the heart of Silicon Valley) with room to innovate, contribute, and lead Access tier 1 internal technical resources (e.g., research engineers, BDH platform architects, PhDs in neural networks, etc.) Interested? Apply now and be part of building the future of LiveAI . Preferable joining date: Q4 2025. The positions are open until filled - please apply immediately. Compensation: based on profile and location. Equity included. Location: Palo Alto. Possibility to work or meet with other team members in one of our other offices: Palo Alto, US, Paris, France, or Wroclaw, Poland. As a general rule, permanent residence will be required in the EU or the US. If you meet our broad requirements but are missing some experience, don't hesitate to reach out to us.

Senior Product Manager, Research Participation page is loaded Senior Product Manager, Research Participationlocations: Palo Alto (HQ)time type: Full timeposted on: Posted 12 Days Agojob requisition id: ME-24023andMe is looking for a Senior Product Manager to join our Product team.In this role, you'll lead the charge in reimagining how our members engage with research . You will identify and execute on lean experiments to transform research participation from a clinical transaction into an engaging, rewarding, and appealing experience that delivers value back to our members and drives scientific discovery . Who We Are We are a group of individuals passionate about genetic discovery. 23andMe Research Institute is a nonprofit medical research organization that enables people everywhere to access their genetic information, learn about themselves, and participate in the world's largest crowdsourced research initiative. The Institute aims to be the world's most significant contributor to scientific advancement, uniting people with the common goal of improving health and deepening our understanding of DNA - the code of life. What You'll Do Revolutionize Research Engagement: Chart out new ways for consumers to participate in research, moving beyond traditional surveys to explore new channels and interaction patterns. Drive Experimentation: Champion a culture of rapid learning by designing and executing experiments. You will test hypotheses around gamification, health communities, and social interaction to find what truly motivates our users. Maximize Participation & Data Quality: Drive high engagement rates in study participation and ensure the collection of a broad range of high-quality data across a wide swath of participants. You will focus on making participation feel "worth it" for the user, ensuring a high probability that members accept invitations and complete studies. Increase Motivation & Reduce Friction: Identify and implement mechanisms that encourage people to take part in research. You will focus on identifying the right balance of increasing user motivation and reducing friction to create an experience that is seamless and compelling. Accelerate with AI: Leverage the latest AI prototyping and coding tools to rapidly build, test, and iterate on your ideas, effectively multiplying your efforts and speed to market. Define Strategy & Roadmap: Define the long-term product roadmap and specify requirements that will create the best user experience for our research participants. Collaborate Cross-Functionally: Build cross-functional relationships and processes with other product managers, R&D, engineering, analytics, design, and marketing to drive initiatives. Measure Impact: Define success metrics for, measure, and evaluate the impact of product efforts, specifically focusing on participation rates, retention, and data quality. Data-Driven Decision Making: Analyze and understand data, and leverage that understanding to make data-driven decisions regarding feature prioritization and user experience improvements. What You'll Bring 8+ years experience in product management role. Experimentation Mindset: A strong track record of using lean methodology to test, learn, and iterate on consumer-facing products. Engagement Expertise: Proven track record of driving deep user engagement and retention. Experience with community building, gamification, or interactive consumer apps is highly valued. AI Fluency: Demonstrated ability to use modern AI prototyping and coding tools to accelerate product development and personal productivity. Experience with web and mobile app development practices. Laser-focus on crafting high quality products. Ability to build relationships and effectively collaborate with all levels of the organization, from C-level to individual contributors. Excellent communication skills, with the ability to evangelize a compelling product vision to senior leadership and stakeholders. Ability to manage and influence through persuasion, negotiation, and consensus building. Enthusiasm and creativity to inspire others. Note: Ability to work from 23andMe's office in Palo Alto, CA a minimum of 3 days per week Strongly Preferred.23andMe, headquartered in California, is a leading consumer genetics and research company. The company's mission is to help people access, understand, and benefit from the human genome. 23andMe has pioneered direct access to genetic information as the only company with multiple FDA authorizations for genetic health risk reports. The company has created the world's largest crowdsourced platform for genetic research, with 80 percent of its members electing to participate. 23andMe research participants consent to research conducted by 23andMe which is overseen by an independent third-party Institutional Review Board (IRB) regulated under the 'Common Rule' (45 CFR part 46). More information is available at 23andMe, we value a diverse, inclusive workforce and we provide equal employment opportunity for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application because of incompatible assistive technology or a disability, please contact us at . 23andMe will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.Please note: 23andMe does not accept agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you. Pay Transparency 23andMe takes a market-based approach to pay, and amounts will vary depending on your geographic location. The salary range reflected here is for a candidate based in the San Francisco Bay Area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.San Francisco Bay Area Base Pay Range$175,000-$240,000 USD

The Networking & Observability Team builds infrastructure for low-overhead observability and communication between MongoDB Server nodes, clients, and other services. We operate close to the bottom of the stack, and have a huge impact on the performance and robustness of the database. Recently, we've worked on POCs for making our RPC stack's architecture as performant as possible and are integrating OpenTelemetry to accelerate the diagnosis of performance issues and test failures. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies low-level systems and networking expertise to build the foundational infrastructure of a popular database, join us! Let's build a faster, more reliable, and exceptionally observable database system together This role can be based out of our NYC office or remotely from anywhere in North America. Candidate Profile Minimum 12 years of experience in programming, debugging, and performance tuning distributed and/or highly concurrent C/C++ software systems Strong systems fundamentals, including multi-threaded programming, performance profiling, and expert-level network programming Familiarity with database internals or building core components for data processing systems Familiarity with observability ecosystem and best practice Excellent verbal and written technical communication skills and a strong desire to collaborate with colleagues and mentor engineers Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity Responsibilities Lead the architecture and implementation of low-level networking components that drive the performance, scalability, cost-efficiency, and resiliency of MongoDB Server Design and implement observability improvements that enable MongoDB engineers and customers to quickly and accurately diagnose the root cause of production issues Handle networking-related customer escalations from Technical Support team and coach teammates to do the same Write production-ready database code in C++, improve the existing code, and mentor their team to write higher quality code Own all code the Networking & Observability Team maintains, ensuring it achieves a high standard for quality (including security, durability, availability, and performance) and maintainability Diagnose test failures, identify bugs in existing code, fix them, and prevent bugs from being introduced in new code Investigate the performance impact of code changes that may cause software performance regressions Interview candidates for advanced software engineering positions Develop and maintain expertise on cutting edge database, networking, and observability developments from industry and academia Lead development and project management of some of the largest projects across the company Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives Advise Product Management on technical product direction, engineering complexity and inter-project dependencies Collaborate with Product Management and Engineering leadership to define product roadmaps Success Measures In the first month, you will have understood the high level architecture of MongoDB networking and observability, and fixed a few bugs In three months, you will have contributed to the development in C++ of a project slated for the next major release of MongoDB, and diagnosed and fixed a few customer or testing-reported issues In six months, you will have taken on code review responsibilities and are involved in reviewing the design for new features In twelve months, you will be leading the development of new features and initiatives, helping to mentor engineers on the team, and using your experience to drive the long-term technical roadmap of the Networking & Observability Team About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB's unified database platform-the most widely available, globally distributed database on the market-helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers-including 75% of the Fortune 100 and AI-native startups-relying on MongoDB for their most important applications, we're powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB. To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions 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. MongoDB's base salary range for this role in the U.S. is:

About Us Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health. Why Join Our Team Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale. Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA. Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA's NVentures, Premji Invest, SV Angel, and six health systems. World Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes. For more information, visit . We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA, unless explicitly noted otherwise in the job description. About the Role We are seeking a skilled AI Agent Integration Architect to lead the integration of the Hippocratic AI Agents deeply into our healthcare system. Our partners span providers, plans, pharma, and health technology companies that want to incorporate our safety-focused conversational agents. Deep integrations enable us to scale agent use and dramatically improve our ability to create value for our partners. This role is crucial to building the connection between Hippocratic AI's agents and external systems, including Electronic Health Records (EHRs), Health Information Exchanges (HIEs), and third party healthcare partners. You will work closely with our customers and partners, as well as cross functional teams including sales, customer support, engineering, and agentic design. We are looking for problem solvers who can work closely with customer IT teams, diagram customer workflows, diagnose technical issues, write complex integration code, and design data pipelines. What You'll Do: Integration Management & Development Own the full integration lifecycle for major customers - from gathering requirements through design, development, testing, deployment, and ongoing support - to deliver seamless connectivity between Hippocratic AI and client systems. Design, build, and maintain healthcare data integrations (Python, HL7 v2, FHIR, REST APIs, SQL) that ensure real time, reliable data exchange and accelerate customer go live timelines. Develop reusable components and integration templates that reduce delivery time and improve implementation consistency across projects. Troubleshoot and resolve production issues with urgency and precision, driving faster recovery and higher customer satisfaction. Lead the creation of deep integrations between Hippocratic AI and healthcare systems (EHRs, care management platforms, exchanges), ensuring our AI agents fit naturally into clinical workflows. Oversee API and middleware development to enable scalable, secure data sharing across healthcare applications and data networks. Collaborate directly with clients and offshore integration teams to align on architecture, timelines, and technical execution. Ensure all integrations meet healthcare compliance standards (HIPAA, ONC Cures Act, TEFCA), maintaining the trust and safety of sensitive patient data. Technical Leadership & Strategy Translate business and clinical requirements into scalable, testable integration flows that support the rapid deployment of AI agents in real world healthcare environments. Coordinate implementation and QA with offshore teams, maintaining velocity while ensuring quality and reliability. Develop integration roadmaps and strategies that expand interoperability between major EHR systems (Epic, Cerner, Meditech) and third party vendors, increasing system reach and value. Evaluate and adopt emerging standards and technologies in healthcare interoperability to keep Hippocratic AI ahead of the curve. Monitoring & Maintenance Proactively monitor live integrations to identify and resolve performance bottlenecks before they impact users. Manage client communications during incidents to ensure transparency and maintain confidence. Maintain detailed documentation - interface specs, data flow diagrams, and architecture - to support scalability and cross team alignment. What You Bring Must Have: Bachelor's degree in Computer Science, Health Informatics, Information Systems, or a related field. 8+ years of experience in healthcare integration, particularly HL7 v2, FHIR, and API based interoperability. Hands on experience with integration engines such as Epic Bridges, InterSystems Ensemble, Rhapsody, Mirth Connect, or Corepoint. Strong knowledge of FHIR APIs, SMART on FHIR, and RESTful web services. Experience working with EHRs (Epic, Cerner, Meditech, Allscripts, etc.) and third party health systems. Familiarity with EHR APIs (Epic, Cerner, AthenaHealth, or similar). Proficiency in scripting and development languages such as Python, Java, or JavaScript for integration tasks. Comfortable working with RESTful APIs, JSON, and SQL. Deep understanding of HIPAA, HL7, and healthcare regulatory compliance. Strong problem solving skills and the ability to troubleshoot complex data exchange issues. Excellent communication skills with the ability to explain technical concepts to non technical stakeholders. Strong ownership mindset with attention to reliability, scalability, and quality. Nice to Have: Epic Bridges certification or FHIR certification. Experience with cloud based integration solutions (e.g., AWS, Azure, Google Cloud). Knowledge of HIEs, TEFCA, and data sharing frameworks. Familiarity with automation tools for EDI and data processing. Knowledge of FHIR bulk data workflows. Experience with CI/CD, containerization (Docker), or cloud based deployment pipelines. Background in AI/ML data pipelines or healthcare analytics. Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from email addresses. We will never request payment or sensitive personal information during the hiring process. If anything appears suspicious, contact for verification.

A high-growth cybersecurity vendor is seeking a Regional Vice President to lead commercial sales efforts across the Northeast U.S. The ideal candidate will have a strong background in cybersecurity sales leadership and a strategic mindset. Responsibilities include managing a team of 8 Account Executives, executing the regional GTM strategy, and driving revenue growth. A proven track record in scaling teams and contributing to significant company growth is essential.

Company Description Guardant Health is a leading precision oncology company focused on guarding wellness and giving every person more time free from cancer. Founded in 2012, Guardant is transforming patient care and accelerating new cancer therapies by providing critical insights into what drives disease through its advanced blood and tissue tests, real-world data and AI analytics. Guardant tests help improve outcomes across all stages of care, including screening to find cancer early, monitoring for recurrence in early-stage cancer, and treatment selection for patients with advanced cancer. For more information, visitand follow the company on,and. About the Role We are seeking a strategic and hands-on Enterprise Architect to design and evolve Guardant's technology ecosystem as we scale 5x over the next two years. This role is enterprise-wide, with authority to establish architectural standards, guide platform development, and accelerate delivery of reusable services and components across the business.The Enterprise Architect will partner with engineers, product, security, data science, and clinical operations teams to ensure our systems are scalable, secure, compliant, and patient-impact driven. Key Responsibilities Strategic Enterprise Architecture Define and govern Guardant's enterprise architecture, aligning technology capabilities with business priorities and oncology innovation goals. Reusable Platforms & Components Design shared platforms, modular services, and reusable components that enable faster delivery, reduce duplication, and improve scalability. Scale & Performance Architect cloud-based systems to handle 5x growth in lab throughput, data analytics, and digital engagement within 24 months. Data & Analytics Enablement Define enterprise data strategies and platforms for governance, interoperability, real-time analytics, and AI/ML pipelines. Cloud Transformation Drive an cloud-first architecture (AWS), ensuring resilience, elasticity, security, and cost efficiency at scale. Security & Privacy by Design Embed security and privacy controls into every platform, ensuring compliance with HIPAA, GDPR, CLIA, CAP, and FDA (21 CFR Part 11). Governance & Standards Establish reference architectures, patterns, and frameworks to reduce technical debt, improve adoption, and enforce consistency across engineering teams. Innovation & Emerging Tech Evaluate and introduce new technologies (e.g., automation, event-driven architectures, AI/ML accelerators) that strengthen Guardant's competitive edge. Influence & Mentorship Act as a trusted advisor to the engineering leaders, while mentoring architects and engineers across the company. Qualifications 10+ years of progressive experience in software engineering and architecture, with 5+ years in enterprise/solution architecture leadership. Bachelor's degree in Computer Science, Management Information Systems, Software Engineering, Electrical Engineering, Computer Engineering, Information Systems, Bioinformatics, or a related technical field required. Proven ability to design and scale digital and enterprise platforms in cloud (AWS) environments. Strong expertise in modular architectures, reusable platforms, and component-driven design. Experience with lab informatics, clinical systems, or healthcare data platforms strongly preferred. Deep knowledge of security, compliance, and healthcare interoperability standards (e.g., HL7, FHIR, LOINC). Familiarity with authorization policy frameworks and applying them to flexibly protect assets and resources. Exceptional communication and leadership skills, with ability to influence executives, engineers, and clinical stakeholders. Preferred Qualifications Experience designing reusable platforms in diagnostics, biotech, or healthcare technology companies. Track record of building enterprise-wide architectures that accelerated delivery while reducing integration complexity. Success Metrics Delivered AWS-based architectures supporting 5x scale in lab throughput, analytics, and digital services. Established reusable platforms/components that shortened development cycles and improved efficiency. Reduced technical debt and system fragmentation while enabling faster feature and product launches. Implemented governance frameworks that improved security, compliance, and platform adoption across teams. Hybrid Work Model: This section is applicable to onsite employees who are eligible for hybrid work location as specified by management and related policies. Guardant has defined days for in-person/onsite collaboration and work-from-home days for individual-focused time. All U.S. employees who live within 50 miles of a Guardant facility will be required to be onsite on Mondays, Tuesdays, and Thursdays. We have found aligning our scheduled in-office days allows our teams to do the best work and creates the focused thinking time our innovative work requires. At Guardant, our work model has created flexibility for better work-life balance while keeping teams connected to advance our science for our patients. The annualized base salary ranges for the primary location and any additional locations are listed below. This range does not include benefits or, if applicable, bonus, commission, or equity. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, education, job-related skills, job duties, and business need.Primary Location: Palo Alto, CAPrimary Location Base Pay Range: $170,700 - $234,750Other US Location(s) Base Pay Range: $145,100 - $199,550If the role is performed in Colorado, the pay range for this job is: $153,600 - $211,300 Employee may be required to lift routine office supplies and use office equipment. Majority of the work is performed in a desk/office environment; however, there may be exposure to high noise levels, fumes, and biohazard material in the laboratory environment. Ability to sit for extended periods of time. Guardant Health is committed to providing reasonable accommodations in our hiring processes for candidates with disabilities, long-term conditions, mental health conditions, or sincerely held religious beliefs. If you need support, please reach out to A background screening including criminal history is required for this role. GH will consider qualified applicants with criminal arrest or conviction histories in a manner consistent with applicable law including but not limited to the LA County Fair Chance Policies and the Fair Chance Act (Gov. Code Section 12952). Guardant Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. All your information will be kept confidential according to EEO guidelines. To learn more about the information collected when you apply for a position at Guardant Health, Inc. and how it is used, please review our . Please visit our career page at:

About Mashgin At Mashgin, we have developed a successful and innovative point-of-sale experience that uses computer vision and AI to make checkout nearly instantaneous. Our mission is to eliminate checkout lines so people can get back to their lives. Our kiosks are currently serving customers in thousands of locations around the world, from major sports stadiums to convenience stores, from college campuses to corporate cafeterias. We are a series B startup with 10 years of progress, and we're already profitable. And we're just getting started. We value autonomy of work, a relentless obsession with customer experience (both our customers and their end-customers), and a culture of respect and fun. Position Summary Mashgin is looking for a passionate Computer Vision engineer who loves solving everyday vision problems. Someone who is regularly saying to themselves "This could be done with computer vision!" and who loves experimenting with new algorithms. You'll work on a small dynamic team to design and implement cutting edge Computer Vision algorithms that will be used everyday by our customers. You Will Be Developing new computer vision algorithms with founders in C/C++ and Python for solving challenging real-world problems Coming up with large scale data collection techniques for training Deep Neural Nets Driving the development of new algorithms that dramatically improve our existing methods Researching and maintaining state-of-the-art ML/CV algorithms that can analyze images Coding full-stack building products from end to end Minimum Qualifications 8+ years relevant coding experience Masters degree in Computer Science or related field Strong background in Computer Vision Exposure to new Deep Learning techniques for image recognition Preferred Qualifications MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field Experience with Python or C/C++ in a Linux environment Knowledge and experience in application of Deep Learning to Computer Vision problems Real-world experience building Computer Vision systems What We Offer An opportunity to work on a small, multidisciplinary team with the potential to break new ground in many different industries Excellent health, dental and vision insurance for you and your dependents 401k plan Flexible PTO policy Catered lunch in office with fully stocked snacks and beverages Pet insurance for your fur babies Voluntary life insurance plan Competitive salary and options in a small, rapidly scaling company $200,000 - $300,000 a year For roles based in Palo Alto, CA, the overall market range for Mashgin is typically $200,000 - $300,000 USD annually. Note that total compensation for this position will be determined by candidate's relevant qualifications, work experience, skills, and other relevant factors. This estimate excludes the value of any benefits offered by Mashgin, and the potential future value of any other long-term incentives. Mashgin is proud to be an equal opportunity employer. Individuals seeking employment at Mashgin are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

A technology firm specializing in integrated task systems seeks a Machine Learning Researcher / ML-Ops Engineer to advance computer vision and sensor fusion capabilities. The role involves implementing machine learning pipelines and optimizing models for deployment. Candidates should have a strong Python background and experience in deep learning frameworks like PyTorch and TensorFlow. This position in Palo Alto, California, offers competitive compensation and a collaborative work environment.

An innovative automotive technology firm based in Palo Alto is seeking highly skilled software engineers to join its Wireless Software team. You will be responsible for designing and developing complex software applications and state machines for connectivity solutions. The ideal candidate has strong C++ programming skills and experience in 4G/5G application development. The position offers competitive compensation and a chance to work on cutting-edge technologies in an exciting environment.

A leading technology firm in Palo Alto is seeking a Sr. Product Manager to bridge hardware and software development. Ideal candidates will have experience in hardware product management, involvement in NPI processes, and dedication to improving manufacturing practices using AI. The role emphasizes strategic execution, stakeholder collaboration, and continuous improvement. The successful candidate will thrive in a dynamic environment, focusing on delivering impactful products. The company offers a competitive salary and a variety of employee benefits.

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary We are building an exciting software defined vehicle architecture and looking for highly skilled and motivated software engineers to join our Wireless Software team. More specifically we are building a highly complex and distributed connectivity software stack along with 5G and Wi Fi SW applications and are looking for someone with strong wireless experience and proficient in modern C++ to help grow our team's capabilities. Responsibilities Design, develop and maintain Cellular software applications on POSIX systems (C++, Python) Design and implement state machines for control, data and voice services for 5G/Wi Fi modules Develop object oriented designs, abstraction layers, middleware and system services for embedded Linux systems Define and implement good power, connection and network policy management for various network scenarios Develop algorithms for smart link quality detection in often ambiguous radio environments Ensure code quality through comprehensive unit testing (GTest, GMock), system testing and adherence to coding standards Effectively collaborate across cross functional teams to drive project success Qualifications BS/MS in Electrical Engineering, Computer Science or Computer Engineering Strong C++ programming Experienced in 4G/5G SW application development Python and shell scripting experience Strong understanding of TCP/IP suite, memory management and file systems Good understanding of ARM processors, toolchains, and Linux OS Strong first principles thinking along with excellent analytical, debugging and problem solving skills Nice to Have: Wi Fi / BT or eSIM development experience Prior experience in embedded Linux systems and networking Prior experience in Android software development (Kotlin or Java) Pay Disclosure Salary Range/Hourly Rate for Palo Alto, California Based Applicants: $147,000 - 185,000 USD (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental and vision insurance packages for full time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment. Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at . Candidate Data Privacy Rivian and VW Group Technologies ("Rivian and Volkswagen Group Technologies") may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and VW Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) record keeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. Please note that we are currently not accepting applications from third party application services.

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary We are looking for a Software Engineer to help us develop tools that analyze connected systems and telematics performance across various use cases. Using large scale data analytics and telemetry analysis, your work will provide critical insights into platform issues that may impact customer facing features. Additionally, you'll help build and test integrations between different system components to ensure reliable data flow and system performance. Responsibilities Develop analytics tools to extract meaningful insights from vehicle telematics and connected system data. Analyze complex telematics data from our internal fleet to detect performance patterns and anomalies, predict potential issues, and drive system improvements. Build automated diagnostics and dashboards to give developers real time visibility into system health. Support on vehicle integration test and data collection efforts to validate our telematics software. Collaborate with engineers across software, cloud, and embedded teams to ensure platform stability before external feature release to customers. Core Capabilities and Behaviors Experience with SQL based query construction required; Python and PySpark proficiency preferred. Strong background in data gathering, analysis, and problem solving methodologies required. Ability to apply critical thinking to a variety of complex problems, often when analyzing data across multiple system components. Prior experience with data analysis and visualization tools like Hex, Preset or similar is nice to have. Must have excellent written and verbal communication skills. Understanding of connected systems, IoT, or telematics concepts (preferred but not required). Ability to work in a fast paced environment. Qualifications Bachelor of Science in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or similar. 3+ years of relevant professionl experience. Proficient with database manipulation and data presentation. A mindset geared towards collaboration and forward progress. Ability to thrive under pressure and even with time constraints, apply creative and critical thinking to deliver exceptional results. Pay Disclosure Salary Range/Hourly Rate for Palo Alto, California Based Applicants: $146,000 - 183,000 USD (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental and vision insurance packages for full time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment. Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at . Candidate Data Privacy Rivian and VW Group Technologies ("Rivian and Volkswagen Group Technologies") may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please see our Candidate Data Privacy Notice (English) Candidate Data Privacy Notice (Serbian) for more information. Please note that we are currently not accepting applications from third party application services.

A leading genetics research organization in Palo Alto seeks a Senior Software Engineer to design and maintain scalable services and backend APIs. Join a collaborative team passionate about genetic discovery, focused on ensuring reliable operations. Ideal candidates have a B.S. in Computer Science and five years of experience, particularly with AWS and Python. The role offers a competitive salary range of $165,000 to $215,000, along with a commitment to diversity and inclusion.

A leading technology company in Palo Alto is seeking a Machine Learning Engineer to build and deploy models for core products. Responsibilities include applying modern ML techniques and collaborating with teams to launch innovative features. Ideal candidates possess a strong background in machine learning with 5+ years of experience, along with proficiency in frameworks like TensorFlow and PyTorch. This position offers competitive salary and equity opportunities, with a focus on workplace diversity and support.

Location: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. ServiceNow Enterprise Service Management Transformation - Senior Manager - Tech Consulting - Open Location In the digital economy, it takes more than good ideas and strong leadership to thrive. Upgrading outdated processes, systems and information is vital - but can be a risky investment in such a rapidly changing environment. That's why some of the most prestigious businesses worldwide look to us for authoritative, agile, and efficient solutions for business decision-making. As a ServiceNow Consulting Senior Manager you will play a leading role in that mission, providing the competitive edge our clients need to overcome some of the biggest creative and technical challenges around. The opportunity You will lead ServiceNow Transformation teams in a rapidly growing area of the business. It is a client facing role, in which you will have opportunities to showcase your ability to not only motivate and develop teams but also establish and maintain client relationships. You will have an opportunity to grow your consulting, technical and team leadership skills, as well as build relationships and obtain experiences that will define your career. In this role, you will build and manage the delivery of technology transformation projects and programs that align with our organizational strategy. You will provide assurance to leadership by managing timelines, costs, and quality, while leading both technical and non-technical project teams in the development and implementation of technology solutions and infrastructure. Your key responsibilities As a Senior Manager, you will play a pivotal role in the effective management and delivery of complex processes, solutions, and projects. You will navigate operational and organizational dynamics while maintaining a strong focus on quality and risk management. This position offers a unique opportunity to develop your leadership skills and expand your professional network. Key responsibilities include: Leading engagement delivery and managing client relationships on a daily basis. Accountable for program/project management, ensuring that all objectives are met. Developing resource plans and budgets for engagements, managing engagement economics effectively. Skills and attributes for success Here, you will serve a wide portfolio of clients - each with their own backgrounds, strengths, and ambitions, so no two days will be the same. That could mean working to transform a clients' enterprise or Global Business Service (GBS) or Enterprise Service Management (ESM) capabilities with ServiceNow or evaluating how AI can streamline service delivery. Wherever you find yourself, you will be making a visible impact on projects that cross borders and challenge conventional wisdom to encourage transformation. To thrive in this role, you will need a blend of technical expertise and strong interpersonal skills. The following attributes will make a significant impact: Ability to drive and support sales activities along-side EY pursuit teams demonstrating how EY's services can solve a clients business challenges - this can include but not limited to developing proposals, engagement estimates, and participating in sales presentations Lead and develop strategies for ServiceNow enabled transformations, working with senior client executives on developing a business case, transformation roadmap, detailed plans and solution architectures Act as an engagement manager across all aspects of ServiceNow ESM/GBS (HR Service Delivery, Field Service Management, Customer Service Management, and Source to Pay) engagements and solution delivery, including but not limited to engagement management, design, configuration/development, testing and deployment phases Ability to manage 2-3 engagements and mentor multi-disciplinary teams of 10+ resources including offshore resources (e.g., consultants, developers, and testers) Ability to build and foster client relationships and demonstrate the value of EY services Excellent business acumen with the ability to make fact-based decisions and resolve conflicts Provide guidance and industry leading practice expertise for ServiceNow service management implementations across business functions (non-IT), including how specific business objectives can be met through process and technology transformation Ability to analyze a company's service management functional capabilities people, process, and technology capabilities, provide leading practice recommendations and contribute insights to strategic roadmaps Ability to lead client process design sessions and facilitate requirements workshops with functional and/or business process area subject matter resources Experience in waterfall and agile delivery models - including supporting management activities such as planning, status reporting, budgets and risk and issue logs Ability to create high quality deliverables and project artifacts To qualify for the role you must have Bachelor's degree required (4-year degree); Master's degree preferred Typically, no less than 5 - 7 years relevant experience in ServiceNow implementation experience 5 - 7 years of Big 4 or equivalent consulting experience preferably at the Senior Manager or Director level ServiceNow Certified Systems Administrator (CSA) or Certified Application Developer (CAD) Minimum of 2 of the following ServiceNow certifications: ServiceNow Certified Implementation Specialist - HR Service Delivery ServiceNow Certified Implementation Specialist - Customer Service Management ServiceNow Certified Implementation Specialist - Field Service Management Excellent consulting and interpersonal skills - executive communication (written/verbal), adaptability, problem solving, teamwork, relationship building, dependability, and organization Ability to effectively develop presentations, functional and technical roadmaps as well as present ideas and proposals to all levels of management and technical expertise Experience with defining contextual, conceptual, and logical models that align both business and technical capabilities to explain the architecture Experience leading teams and supervising others A driver's license valid in the U.S (United States). Ability to travel to meet client needs (up to 60%) Ideally, you will also have ServiceNow Certified Master Architect (CMA) or Certified Technical Architect (CTA) Performance analytics and reporting experience - certifications are a plus Source to Pay, Employee Center, Legal Service Delivery, and Workplace Service Delivery experience - certifications are a plus Experience in ServiceNow's AI solutions (Now Assist, Agentic, AI Control Tower) What we look for We are interested in intellectually curious people, with a genuine passion for finding and implementing innovative ways to nurture growth. You will also need excellent communication and negotiation skills, as well as the ability to express big ideas to senior leaders, often without technical backgrounds. If you are ready to take ownership of a team that is poised to take the industry by storm, this role is for you. What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $171,600 to $392,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $205,900 to $445,700. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY Building a better working world EY is building a better working world by creating new value for clients, people . click apply for full job details

A cybersecurity startup in Palo Alto is seeking a Director of Alliances/Business Development to build and execute a partner ecosystem for revenue growth. This role involves defining alliance strategies, driving pipeline growth, and working cross-functionally across teams. The ideal candidate has 8-12 years in business development, cybersecurity expertise, and experience with Snowflake and Databricks. Comprehensive benefits include medical insurance, equity, and unlimited paid time off.

An advanced analytics consulting firm in California seeks a Data Engineer with over 12 years of experience. Responsibilities include assessing data security policies, designing security mechanisms in Databricks, and collaborating on data security architecture. Ideal candidates must have a strong understanding of data security principles and expertise in Databricks. Join a fast-growing, entrepreneurial environment with significant career development opportunities.

A leading data platform company in Palo Alto seeks a Senior Engineer to develop a cutting-edge inference platform supporting semantic search and AI-native experiences. The ideal candidate will have over five years of experience in backend systems and proficiency in languages like Go, Rust, or Python. You'll work alongside ML researchers to enhance infrastructure for real-time inference, ensuring high performance and reliability. This hybrid role offers a unique opportunity to influence the next generation of developer solutions.

A leading AI cybersecurity startup in Palo Alto is seeking a Software Developer to build impactful product features. This role involves writing clean code, collaborating across teams, and monitoring production systems. Ideal candidates have over 5 years of software development experience, strong skills in Python, and familiarity with AWS services. Competitive compensation includes a base salary of $160,000-$190,000 plus equity and benefits.

GEICO . For more information, please . Staff Machine Learning Engineer Overview: single AI/Machine Learning team, responsible for the tech design and tech health of the team. You will build and architect scalable and reliable AIML solutions that align with the company's tech paved path and stakeholder requirements. This role requires a minimum of 6 years of relevant experience. As a Staff Machine Learning Engineer, you will be the overall tech lead of a Key Responsibilities: System development : Architect scalable and reliable AIML solutions that align with the company's tech paved path and stakeholder requirements. Minimal Qualifications: At least 6 years of hands-on experience in machine learning and software engineering. Technical Skills: Deep proficiency in programming languages such as Python, Java, or similar, with a strong emphasis on coding excellence.Proficiency in AIML frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, langraph, etc.Experience with SQL, Spark, and scripting languages such as Python for data processing and model development. Proven experience in deploying machine learning systems in a production environment, ensuring scalability, reliability, and high availability. Core Engineering Skills: Extensive experience with object-oriented design (OOD), design patterns, and writing clean, maintainable code. Strong understanding of system architecture, performance optimization, and the ability to design fault-tolerant systems that handle large-scale data and high-volume requests. Experience designing, building, and maintaining ETL pipelines, streamlining data collection, transformation, and storage for model development. Experience setting up monitoring and logging systems for tracking model performance in production environments and ensuring efficient resource utilization. Preferred Qualifications : Experience utilizing both open source (e.g. llama, Qwen, Mistral) and proprietary (e.g. GPT, Claude) LLMs for appropriate tasksExperience with tools that power LLM-based AI agents: eval frameworks, agent tooling, RAG pipelines, prompt engineering, etc.Experience building LLM-based AI agent workflows via both no code/low code and traditional high-code development environmentsExperience in ideating, integrating, and designing applications and frontends using React or similar.If you are passionate about pushing the boundaries of machine learning technology, thrive in a hands-on technical leadership role, and enjoy solving complex, large-scale problems, we encourage you to apply. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.

A leading automotive technology company is seeking a Senior Software Engineer for the Factory Software team in Palo Alto, CA. The role focuses on developing software to enhance ultra-high-speed manufacturing processes, utilizing technologies like machine vision. Ideal candidates should have over 5 years of software development experience, familiarity with languages like C or Go, and a strong understanding of software deployment best practices. This position offers a competitive salary range and excellent benefits including medical and dental coverage.

A leading AI technology company based in Palo Alto, CA is seeking a Machine Learning Data Engineer. You will build and optimize the data infrastructure for our machine learning systems while collaborating with ML engineers and infrastructure teams. The ideal candidate has a strong engineering background in Python, experience in production data pipelines, and a deep understanding of distributed systems. This role offers comprehensive benefits, a collaborative environment, and opportunities for innovative contributions.

About the Role This role is for a hands on ML Engineer who can design, train, and productionize models powering search relevance, retrieval, personalization, and LLM based conversational experiences at a massive scale. You will work closely with backend, platform, and catalog enrichment teams to deliver high quality ML components under tight performance and latency constraints. Key Responsibilities Build and improve search ranking, retrieval, and query understanding models. Develop ML components for Conversational Search: Multi turn context handling Query intent detection and classification Retrieval augmented generation (RAG) pipelines Reasoning workflows (ReAct, static + dynamic agent flows) Design and optimize embedding models, vector stores, and similarity search systems. Build personalized ranking and recommendation models using deep learning. Work on large scale ML systems optimized for: Low latency High throughput Cost efficient inference Implement ML pipeline best practices (versioning, monitoring, A/B testing, observability). Collaborate with platform teams to integrate ML services across search, recommendations, and conversational agents. Develop caching strategies (prompt cache, vector cache, similarity caching) to hit strict SLA targets. Contribute to long term roadmap: foundational retrieval models, multi objective optimization, and user lifecycle modeling. Required Qualifications 4-10 years of experience in Machine Learning / Applied ML engineering. Strong foundations in ML, deep learning, Transformers, and neural retrieval. Hands on experience with: Search systems (retrieval + ranking) Recommendation models Embedding models & vector databases TensorFlow / PyTorch Proven experience building production grade ML systems at scale. Familiarity with LLMs, RAG architectures, prompt engineering, and agent workflows. Strong coding skills (Python) and experience with modern ML stack (TensorFlow, PyTorch, Faiss/ScaNN, Triton, etc.). Ability to work closely with backend teams to deploy models in distributed systems. Excellent problem solving skills and comfort working on ambiguous, high impact problems. Preferred Qualifications Experience with conversational AI, chat based retrieval, or multi turn dialog modeling. Experience in media, streaming, sports data, or large catalog discovery. Knowledge of micro drama, short video personalization, or multi objective recommendation systems. Strong understanding of scalability patterns: batching, async orchestration, and caching layers. What you get Best in class salary: We hire only the best, and we pay accordingly. Proximity Talks: Meet other designers, engineers, and product geeks - and learn from experts in the field. Keep on learning with a world class team: Work with the best in the field, challenge yourself constantly, and learn something new every day. About us Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We're headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies. Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company's success will be huge. You'll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams. Here's a quick guide to getting to know us better: Here's a quick glimpse of Proximity and what it's like to be a Proxonaut: Visit this YouTube link to listen to what our CEO, Hardik Jagda, has to say about Proximity. Meet some of our Proxonauts here: Know thy Proxonauts better. Here are some quick links to the Careers page, Blog, and Studio Proximity (our design wing). Follow our team's (behind the scenes) updates on our Instagram channels -

Zyphra is an artificial intelligence company based in Palo Alto, California The Role: As a Machine Learning Engineer , you will be a core contributor to Zyphra's Agentic Systems and Interaction projects. You will be at the forefront of building a next-generation desktop and browser-based agent that can autonomously navigate the web, interact with filesystems, and complete complex user tasks. This role spans frontend interfaces, secure sandboxing environments, large-scale document search and retrieval, and language/vision model integration. You'll work across: Design and implementation of an agentic system capable of interacting with browsers, operating systems, and enterprise filesystems Building search and retrieval pipelines across large-scale structured and unstructured data Integrating LLMs, vision models, reinforcement learning, and scaffolding frameworks for autonomous, multi-step decision-making Engineering secure virtualized runtimes and backend services for agent execution What matters most is your drive to build production-grade ML systems that push the boundary of what software agents can do We value velocity and curiosity, especially in fast-moving and ambiguous environments Requirements: Proficiency in Python and a deep understanding of building and debugging complex ML-driven applications Experience working with desktop operating systems (Windows and macOS), including APIs for screen reading, file interaction, and accessibility frameworks Experience developing browser extensions or automation tools with fine-grained control over the browser (mouse, tabs, DOM) Understanding of LLMs, prompting techniques, and orchestration frameworks for multi-step reasoning Ability to work across the full ML stack, from model integration to serving infrastructure Experience designing or working with secure and virtualized execution environments Excellent communication and collaboration skills across product, research, and engineering teams Bonus Qualifications: Experience building or integrating retrieval-augmented generation (RAG) systems Experience working with enterprise security and compliance frameworks (e.g., SOC 2) Familiarity with vector databases and large-scale document indexing Knowledge of web automation tools and headless browser environments (e.g, Puppeteer, Playwright) Understanding of sandboxed or containerized compute environments with strict access controls Comfort designing user-facing agentic workflows and reasoning systems that span multiple modalities (text, vision, actions) Experience using and fine-tuning models for screen reading, OCR, or UI understanding Background in HCI or interest in building intuitive agent interfaces that extend human capabilities Why Work at Zyphra: Our research methodology is to make grounded, methodical steps toward ambitious goals. Both deep research and engineering excellence are equally valued We strongly value new and crazy ideas and are very willing to bet big on new ideas We move as quickly as we can; we aim to minimize the bar to impact as low as possible We all enjoy what we do and love discussing AI Benefits and Perks: Comprehensive medical, dental, vision, and FSA plans Competitive compensation and 401(k) Relocation and immigration support on a case-by-case basis On-site meals prepared by a dedicated culinary team; Thursday Happy Hours In-person team in Palo Alto, CA, with a collaborative, high-energy environment

GEICO . For more information, please .Senior Staff Engineer page is loaded Senior Staff Engineerremote type: Hybridlocations: Palo Alto, CA: Seattle, WAtime type: Full timeposted on: Posted Todayjob requisition id: R At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Position Summary GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement.Position DescriptionOur Senior Staff Engineer works with our Staff and Sr. Engineers to innovate and build new systems, improve and enhance existing systems and identify new opportunities to apply your knowledge to solve critical problems. You will lead the strategy and execution of a technical roadmap that will increase the velocity of delivering products and unlock new engineering capabilities. The ideal candidate has deep technical expertise in their domain.Position ResponsibilitiesAs a Senior Staff Engineer, you will: Focus on multiple areas and provide technical and thought leadership to the enterprise Collaborate with product managers, team members, customers, and other engineering teams to solve our toughest problems Develop and execute technical software development strategy for a variety of domains Accountable for the quality, usability, and performance of the solutions Utilize programming languages like Python, C# or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community. Influence and educate executives Consistently share best practices and improve processes within and across teams Analyze cost and forecast, incorporating them into business plans Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learningQualifications Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap Experience partnering with engineering teams and transferring research to production Track-record of publications history in credible conferences and journals Experience with continuous delivery and infrastructure as code In-depth knowledge of CS data structures and algorithms Experience solving analytical problems with quantitative approaches Ability to excel in a fast-paced, startup-like environment Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication) Fluency and Specialization with at least two modern languages such as Java, C++, Python or C# including object-oriented design Experience with Micro-services oriented architecture and extensible REST APIs Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems Fluency in DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework Experience in leveraging PowerShell scripting Experience in existing Operational Portals such as Azure Portal Experience with application monitoring tools and performance assessments In depth knowledge of Datacenter structure, capabilities and offerings, including the Azure platform, and its native services including the Azure platform and its native services Experience in security protocols and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth Experience in Azure Network (Subscription, Security zoning, etc.)Experience 10+ years of professional software development experience within a Java framework (J2EE, web containers and Java) 8+ years of experience with architecture and design 6+ years of experience in open-source frameworks 4+ years of experience with AWS, GCP, Azure, or another cloud serviceEducation Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experienc Annual Salary $130,000.00 - $260,000.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs.We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender,

COMPANY DESCRIPTION: Anvilogic is a Palo Alto-based AI cybersecurity startup founded in 2019 by security veterans and data scientists from Fortune 500 companies. Our mission is to democratize threat detection and hunting for today's SOC teams to easily be done across hybrid, multi-clouds and security data lakes without needing to centralize data or rip and replace tools. Further, with our investments in AI-powered automation of detection-as-code to create, test, tune and deploy detections, SOC users can implement high-efficacy detection and hunting techniques without writing a single line of code nor manually wrangling data. Anvilogic raised $45M Series C funding in April 2024 and is backed by top-tier VC firms and prominent industry executives. Anvilogic's AI-powered Multi-Data Platform SIEM is used by many of the industry's most advanced security teams. Learn about our customers: JOB DESCRIPTION Join our established and collaborative team building critical product features that directly impact company revenue. We own and operate core services-including AI-driven workflows and multi-platform data querying-that are central to our success. This is a high-impact role where your work will be closely aligned with both product strategy and customer value. Role Responsibilities Write clean, maintainable, and well-tested code following engineering best practices. Collaborate across teams, including engineering, product, qa, and data science, to define and deliver high-quality solutions. Contribute to system design, technical specifications and architecture decisions. Monitor production systems, respond to alerts and troubleshoot issues when they arise. Review pull requests and provide constructive feedback to uphold code quality standards. Take initiative being a technical leader on the team. Minimum Qualifications 5+ years of software development experience with fluency in Python 3 Excellent written and verbal communication skills Solid understanding of relational databases and ORM tools (e.g., SQLAlchemy) Hands-on experience building REST APIs using frameworks like Flask, FastAPI, or Django Experience in designing and building large systems (microservices, queues, schedules). Strong experience with test-driven development and writing functional/integration tests Familiarity with AWS services (Lambda, SQS, ECS, etc.) Familiarity with CI/CD practices and tools to support automated testing and deployment pipelines Preferred Qualifications Experience working with Large Language Models (LLM), implementing standard patterns (Agents, RAG, Tools), and leveraging popular frameworks. Experience deploying services using infrastructure-as-code (AWS SAM, CloudFormation, CDK). Experience querying datalakes or SIEMs (Snowflake, Databricks, Azure, Splunk, etc.) Background in cybersecurity or experience working with security operations teams Familiarity with security data (e.g., endpoint and network logs) Benefits US Salary Transparency: The base salary range for this full time position is $160,000-$190,000 + equity + benefits. Final compensation will depend on experience, qualifications, and location. Comprehensive medical, dental, and vision insurance Unlimited paid time off policy for work life balance 401(k) retirement plan with company match Monthly stipend for home internet and cell phone expenses

Senior / Principal Software Engineer - Data Pipelines & PerformanceSenior / Principal Software Engineer - Data Pipelines & Performance Xage is the first and only zero trust real-world security company. Powered by the Xage Fabric, the company's Identity & Access Management, remote access, and dynamic data security solutions allow customers to secure, manage, and transform operations. With its distributed, scalable, and easy-to-operate Fabric, Xage solves the complex digitization challenges of the real-world operations we rely on. Xage customers include leaders in manufacturing, energy, O&G, utilities, space, logistics, and transportation. About the role In this role you will be working as a principal engineer on our Fabric development team. This team maintains ownership over databases, data pipelines, distributed systems, and systems development within Xage's products. Principal engineers are expected to have a significant independence and the ability to lend their expertise to help decide the future direction of our team's areas of responsibility. Some examples could be selecting technologies and developing new pipelines or updating existing pipelines to solve problems related to traffic analysis, audit/event detection, improving scalability/performance, or security policy suggestions. Principal engineers are also expected to have developed skills around communication, leadership, empathy, and mentorship to help guide and develop other team members with less experience. Responsibilities Work closely with a team of engineers to develop and maintain existing internal data pipelines Drive the future architecture and development of a traffic analysis pipeline Drive the future architecture and development of an IoT event auditing pipeline Drive the future architecture and development of a IoT security policy suggestion pipeline Collaborate with other team members and stakeholders for requirements, architecture, and overall design Stay up-to-date with emerging technologies and adopt best practices Take ownership of projects and initiatives and ensure high quality of deliverables Skills and Experience Must have 5+ years of experience building enterprise software and strong engineering background Fluent in one of Go/Java/Rust/C++ software development Able to learn and adapt to new programming languages as needed Must have a strong interest and prior experience in data pipelines and data management Must have an understanding of algorithms and efficient data structures Must have an understanding of performance and performance analysis in a data pipeline context Must have strong architectural and design experience building software application across many system layers Must have passion for improving performance, user experience and scalability Must have solid coding and debugging skills Must communicate, collaborate, and work effectively in a team environment About Xage Cyberattacks on critical infrastructure, government, and private enterprises are at an all time high - and only growing more urgent by the day. Xage is a global leader in zero trust access and protection at the forefront of solving this pressing issue. We are pioneering a secure tomorrow by empowering organizations worldwide to connect anyone to anything, while delivering unparalleled defense against every cyber threat. We have built tremendous momentum across governments and commercial enterprises around the world, and it's just the beginning. Recognized by Forbes as one of America's Best Startup Employers, Xage prioritizes creativity, collaboration, and innovation in pursuit of our mission. We are headquartered in Palo Alto, CA and have global teams across North America, EMEA, and APJ . We're passionate about solving problems that have positive, real-world consequences for the lives of everyday people. We hope you'll join us in the fight against cyberattacks and safeguarding critical infrastructure. Competitive salary and equity We will process visa transfers and immigration Work with founders and executives closely and participate in all aspects of company building Early stage opportunity in a massive sized market with proven traction and growing rapidly Recognition & Momentum Xage Security has experienced explosive growth and received numerous awards and recognition, including: Named by Forbes one of America's Best Startup Employers 2024 $17 million contract awarded by U.S. Space Force's Space Systems Command (SSC) to offer its zero trust access control Named in Gartner research on Cyber-Physical Systems Protection Platforms, Zero Trust Network Access, Remote Privileged Access Management, and CPS Secure Remote Access Named in Forrester research on Operation Technology Security Solutions, and Microsegmentation Solutions Named a Gold winner for Identity & Access Security Solution in the 2024 American Business Awards Named a 25 Hottest Edge Security company by CRN 2023 Named a Top 10 Security Solution in the CRN Internet of Things 50 list 2024 Named Industrial IoT Innovator of the Year in 2023 IoT Breakthrough Awards SC Awards "Best Identity Management Solution" finalist 2022 ISO 27001:2022, IEC 62443, and FIPS 140-2 Certified

Overview Snap Inc is a technology company. Snap's core products are Snapchat, Lens Studio, and Spectacles. Snap Engineering builds innovative products for hundreds of millions of Snapchatters worldwide, guided by values that prioritize privacy, speed, precision, and execution. We're looking for a Principal Machine Learning Engineer to join the Content Relevance team at Snap! What you'll do Drive the technical roadmap of the Content Relevance team and optimize our personalized video recommendation systems Advance core ML capabilities and design, implement, and scale the overall architecture of the content recommendation systems, ensuring scalability, performance, and reliability Collaborate with cross-functional teams to align on machine learning strategies to meet company objectives Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways Collaborate with leadership to up-level the ML tech stack and improve the performance of the organization Work across teams to understand product requirements, evaluate trade-offs, and deliver solutions needed to build innovative products or services Advocate for and apply best practices in availability, scalability, operational excellence, and cost management Provide technical direction that influences the entire company Knowledge, Skills & Abilities Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search Experience setting the direction for a team whose primary output is online ranking / recommendation models Ability to design, train, and optimize advanced machine learning models Excellent programming and software design skills Ability to proactively learn new concepts and technology and apply them at work Skilled at solving ambiguous problems and leading and executing complex technical initiatives Strong collaboration and mentorship skills Minimum Qualifications Bachelor's in a technical field such as computer science, mathematics, statistics or equivalent years of experience 9+ years of industry machine learning experience 2+ years of experience as a technical lead Experience developing and shipping performant and scalable machine learning models for recommendation or ranking use cases Preferred Qualifications Experience with recommendation systems Experience with TensorFlow, PyTorch, or related deep learning frameworks Advanced degree in a related field such as machine learning, computer vision, or mathematics Experience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgment Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments Experience working with a diverse group of engineers Experience contributing to AI publications Equity and Benefits If you have a disability or special need that requires accommodation, please provide information via the designated accommodation form. "Default Together" Policy at Snap: Snap encourages in-office collaboration and expects team members to work in an office 4+ days per week. At Snap, we are an equal opportunity employer and are committed to employment opportunities regardless of race, religion, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth, age, sexual orientation, military or veteran status, or other protected classifications, in accordance with applicable laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law. Our Benefits: Snap's benefits include paid parental leave, comprehensive medical coverage, mental health support, and compensation packages aligned with Snap's long-term success. Compensation: In the United States, starting pay is determined by factors including skills, experience, location, and market conditions. The base salary ranges and pay zones are listed for reference and may be updated. This position is eligible for equity in the form of RSUs. Zone A (CA, WA, NYC): base salary range $276,000-$414,000 annually. Zone B: base salary range $262,000-$393,000 annually. Zone C: base salary range $235,000-$352,000 annually. We encourage you to review Snap's other resources and communications for more information about our culture and opportunities.