Engineer 2
Requirements engineer job in San Francisco, CA
Compensation Type: Hourly Highgate Hotels:
Highgate is a leading real estate investment and hospitality management company with over $15 billion of assets under management and a global portfolio of more than 400 hotels spanning North America, Europe, the Caribbean, and Latin America.
With a 30-year track record as an innovator in the hospitality industry, this forward-thinking company provides expert guidance through all stages of the property cycle, from planning and development through recapitalization or disposition. Highgate continues to demonstrate success in developing a diverse portfolio of bespoke lifestyle hotel brands, legacy brands, and independent hotels and resorts, featuring contemporary programming and digital acumen. The company utilizes industry-leading revenue management tools that efficiently identify and predict evolving market dynamics to drive outperformance and maximize asset value.
With an executive team of seasoned hospitality leaders and corporate offices worldwide, Highgate is a trusted partner for top ownership groups and major hotel brands. ****************
Location:
Located atop San Francisco's famed Nob Hill at the corner of California and Powell streets, Stanford Court hotel is steps from the city's best dining, shopping, entertainment and cultural attractions. The hotel features 393 well-appointed rooms and suites, offering comfortable accommodations for leisure and business travelers in a prime location. With a storied history dating back nearly 140 years, Stanford Court sits on the historic site of renowned “Big 4” railroad mogul, university founder, and U.S. senator Leland Stanford's elaborate private mansion. Leland Stanford was at the forefront of innovation in his era, and today's Stanford Court hotel pays homage to his legacy by representing the new frontier of innovation for the 21st century.
Overview:
The Engineer, Level 2 is responsible for insuring that the property is maintained in the best possible condition at all times with the least amount of inconvenience to guests and employees.The ideal candidate MUST have HVAC, Refrigeration (with universal certification), Electrical, and High Rise Fire Safety knowledge and experience.
Responsibilities:
Make repairs to hotel air conditioning system: change filters, clean coils, replace motors.
Perform preventive maintenance on all equipment (i.e. boilers, chillers, HVAC-Heating Ventilation and Air Conditioning, electrical, etc.).
Take required readings on equipment.
Test cooling tower and record readings.
Replace and program televisions as needed.
Replace light switches, receptacles, light bulbs and fixtures.
Perform furniture repair.
Replace and repair pumps.
Perform plumbing repairs (i.e. clogged drains, copper pipe, change washers, change handles, drain fittings, etc).
Understand and be able to read blueprints and wiring diagrams.
Trace and repair all types of water lines.
Troubleshoot and repair kitchen equipment.
Maintain repair and preventive maintenance records.
Perform and maintain work to local, state and Federal codes.
Test, clean and repair swimming pools and spas.
Paint designated areas.
Repair and finish sheet rock.
Repair all types of wall coverings.
Repair and program hotel electronic lock system.
Assist in supervising other engineering staff members.
Assist in scheduling preventive maintenance tasks.
Qualifications:
High School diploma or equivalent and/or one year of experience in a hotel or related field required.
At least two years of progressive experience in a hotel or related field preferred.
Trade school and/or College course work in related field preferred.
Flexible and long hours sometimes required.
Heavy work - Exerting in excess of 100 pounds of force occasionally, and/or in excess of 50 pounds of force frequently and/or in excess of 20 pounds constantly to lift, carry, push, pull, or otherwise move objects.
objects.
Maintain a warm and friendly demeanor at all times.
Must be able to effectively communicate both verbally and written, with all level of employees and guests in an attentive, friendly, courteous and service oriented manner.
Must be effective at listening to, understanding, and clarifying concerns raised by employees and guests.
Must be able to multitask and prioritize departmental functions to meet deadlines.
Approach all encounters with guests and employees in an attentive, friendly, courteous and service-oriented manner.
Attend all hotel required meetings and trainings.
Maintain regular attendance in compliance with Highgate Hotel Standards, as required by scheduling, which will vary according to the needs of the hotel.
Maintain high standards of personal appearance and grooming, which includes wearing the proper uniform and nametag.
Comply with Highgate Hotel Standards and regulations to encourage safe and efficient hotel operations.
Maximize efforts towards productivity, identify problem areas and assist in implementing solutions.
Must be effective in handling problems, including anticipating, preventing, identifying and solving problems as necessary.
Must be able to understand and apply complex information, data, etc. from various sources to meet appropriate objectives.
Must be able to cross-train in other hotel related areas.
Must be able to maintain confidentiality of information.
Must be able to show initiative, including anticipating guest or operational needs.
Perform other duties as requested by management.
Engineer 1
Requirements engineer job in Pleasanton, CA
Compensation Type: Hourly Highgate Hotels:
Highgate is a leading real estate investment and hospitality management company with over $15 billion of assets under management and a global portfolio of more than 400 hotels spanning North America, Europe, the Caribbean, and Latin America.
With a 30-year track record as an innovator in the hospitality industry, this forward-thinking company provides expert guidance through all stages of the property cycle, from planning and development through recapitalization or disposition. Highgate continues to demonstrate success in developing a diverse portfolio of bespoke lifestyle hotel brands, legacy brands, and independent hotels and resorts, featuring contemporary programming and digital acumen. The company utilizes industry-leading revenue management tools that efficiently identify and predict evolving market dynamics to drive outperformance and maximize asset value.
With an executive team of seasoned hospitality leaders and corporate offices worldwide, Highgate is a trusted partner for top ownership groups and major hotel brands. ****************
Location: Overview:
The Engineer, Level 1, is responsible for ensuring that the property is maintained in the best possible condition at all times with the least amount of inconvenience to customers and employees.
Responsibilities:
Make repairs to hotel air conditioning system: change filters, clean coils, replace motors.
Perform preventive maintenance on all equipment (i.e. boilers, chillers, HVAC-Heating Ventilation and Air Conditioning, electrical, etc.).
Take required readings on equipment.
Test cooling tower and record readings.
Replace and program televisions as needed.
Replace light switches, receptacles, light bulbs and fixtures.
Perform furniture repair.
Replace and repair pumps.
Perform plumbing repairs (i.e. clogged drains, copper pipe, change washers, change handles, drain fittings, etc).
Understand and be able to read blueprints and wiring diagrams.
Trace and repair all types of water lines.
Troubleshoot and repair kitchen equipment.
Maintain repair and preventive maintenance records.
Perform and maintain work to local, state and Federal codes.
Test, clean and repair swimming pools and spas.
Paint designated areas.
Repair and finish sheet rock.
Repair all types of wall coverings.
Repair and program hotel electronic lock system.
Qualifications:
High School diploma or equivalent and/or experience in a hotel or a related field required.
At least one year of progressive experience in a hotel or related field preferred.
Trade school and/or College course work in related field helpful.
Flexible and long hours sometimes required.
Heavy work - Exerting in excess of 100 pounds of force occasionally, and/or in excess of 50 pounds of force frequently and/or in excess of 20 pounds Must be able to effectively communicate both verbally and written, with all level of employees and guests in an attentive, friendly courteouse and service oriented manner.
Must be effective at listening to, understanding, and clarifying concerns raised by employees and guests.
Must be able to multitask and prioritize departmental functions to meet deadlines.
Approach all encounters with guests and employees in an attentive, friendly, courteous and service-oriented manner.
Attend all hotel required meetings and trainings.
Maintain regular attendance in compliance with Highgate Hotel Standards, as required by scheduling, which will vary according to the needs of the hotel.
Maintain high standards of personal appearance and grooming, which includes wearing the proper uniform and nametag.
Comply with Highgate Hotel Standards and regulations to encourage safe and efficient hotel operations.
Maximize efforts towards productivity, identify problem areas and assist in implementing solutions.
Must be effective in handling problems, including anticipating, preventing, identifying and solving problems as necessary.
Must be able to understand and apply complex information, data, etc. from various sources to meet appropriate objectives.
Must be able to cross-train in other hotel related areas.
Must be able to maintain confidentiality of information.
Must be able to show initiative, including anticipating guest or operational needs.
Perform other duties as requested by management.
Engineer
Requirements engineer job in San Francisco, CA
Compensation Type: Hourly Highgate Hotels:
Highgate is a premier real estate investment and hospitality management company widely recognized as an innovator in the industry. Highgate is the dominant player in U.S. gateway markets including New York, Boston, Miami, San Francisco and Honolulu, with a rapidly expanding presence in Europe, Latin America, and the Caribbean. Highgate's portfolio of global properties represents an aggregate asset value exceeding $20B and generates over $5B in cumulative revenues. The company provides expert guidance through all stages of the hospitality property cycle, from planning and development through recapitalization or disposition. Highgate also has the creativity and bandwidth to develop bespoke hotel brands and utilizes industry-leading proprietary revenue management tools that identify and predict evolving market dynamics to drive out performance and maximize asset value. With an executive team consisting of some of the industry's most experienced hotel management leaders, the company is a trusted partner for top ownership groups and major hotel brands. Highgate maintains corporate offices in London, New York, Dallas, and Seattle.
Location: Overview:
Respond and attend to guest repair requests. Communicate with guests/customers to resolve maintenance issues. Perform preventive maintenance on tools and kitchen and mechanical room equipment, including cleaning and lubrication. Visually inspect tools, equipment, or machines.
Responsibilities:
Assist with the operation maintenance and repair of equipment.
Change out light bulbs; perform preventative maintenance for guest rooms to include: vinyl repair touch up paint minor furniture repair tub caulking tile repairs etc.
Perform preventative maintenance for ice machines refrigerators kitchen equipment laundry equipment HVAC guestrooms meeting rooms the swimming pool and hot tub.
Perform plumbing repair laundry equipment repair preventative maintenance on all exhaust fans and supply; monitor energy conservation; repair vacuum cleaners and any other small equipment upon request.
Immediately follow up on any alarms to determine the exact location and cause - determine emergency status and report to the Front Desk with findings.
Perform other tasks/jobs as assigned by the supervisor or manager.
Qualifications:
Experience in a hotel or a related field preferred.
High School diploma or equivalent required.
Licensed in a trade preferred (plumbing electrical HVAC carpentry etc.).
Must have a valid driver's license for the applicable state.
Must have an acceptable MVR (Motor Vehicle Driving Record) property specific.
Platform Engineer
Requirements engineer job in San Francisco, CA
Are you an experienced Platform Engineer, looking to jump into a once in a lifetime opportunity?
Join a fast-growing, Series A company building the next hyperscaler for AI agents, a cloud platform where AI applications can build other software. This highly technical role is critical for the core product, focusing on the design and performance of secure, isolated, and incredibly fast cloud computer runtimes. We are looking for a skilled developer with a diabolical obsession for optimizing systems to run fast and efficiently at massive scale, who is eager to take full ownership of projects from initial concept to delivery. This is your chance to define the foundational infrastructure for the future of AI development, backed by tens of millions in funding.
An opportunity like this has huge upside potential. You have the opportunity to get into a small startup, before the company dramatically increases in size.
Responsibilities
Design and Architect the core backend and cloud infrastructure (Distribution Systems) that powers the AI agent platform.
Performance Optimization of runtimes and sandboxes for LLMs, utilizing VM hypervisors (Firecracker/gVisor) to ensure ultra-low latency.
Systems Mastery: Solve complex distributed systems challenges at scale, leveraging Kubernetes/Nomad and deep Linux expertise.
Must-Haves
Non-Negotiable Languages: Deep production experience in Golang, Python, and TypeScript.
Scale: Proven ability to build and operate distributed systems infrastructure.
Linux/Virtualization: Expertise in Linux internals and experience with VM hypervisors (Firecracker/gVisor).
If this sounds of interest, please apply below! We have interviews lined up next week, so be quick!
Salary:
$180 - $250k + Equity
Founding Engineer
Requirements engineer job in San Francisco, CA
Founding Engineer | San Francisco (Onsite)
Salary: $160,000 - $225,000
We're looking for a Founding Engineer to help take a hypergrowth startup from early pilots to full enterprise deployments, scaling tens of millions in automated orders per month. This is a hands-on role for builders who thrive on high-impact, technically challenging projects.
What You'll Do
Ship high-quality code and own end-to-end projects, including LLM orchestration pipelines, real-time ERP integrations, workflow automation, and user-facing tools
Work onsite with customers (warehouses, offices, factories) to understand workflows and build empathy-driven solutions
Design and optimize scalable ML and AI systems for production
Shape technical strategy and infrastructure for a startup transforming the $9T+ global food supply chain
Tech Stack
Python | Pandas | NumPy | Scikit-learn | HTML/CSS | JavaScript | React.js | Next.js | WebSockets | SQL | AWS | GCP | Azure | LangChain | LlamaIndex
About You
2-5 years' experience in hypergrowth startups (Seed to Series B)
Experience building production-grade AI agents and workflow systems
Proficiency in Python, data science libraries, and Next.js for frontend
Experience with cloud infrastructure (AWS, GCP, Azure) and GPU optimization
Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex)
Bonus: previous founder experience or exceptional extracurricular achievements
Why This Matters
You'll play a defining role in transforming one of the world's largest, most overlooked industries, reducing waste, lowering costs, and making food more accessible worldwide.
Interested?
If you're a high-caliber builder ready to work onsite on technically demanding and strategically critical projects, get in touch to discuss this opportunity further.
LLM Engineer
Requirements engineer job in San Francisco, CA
Job Title: LLM Engineer (Contract)
Company: Big Four Client
Work Authorization: U.S. Citizen or Green Card Holder
Pay Rate: Up to $90 per hour (W2), depending on experience
Duration: 1 Month (with possible extension)
Overview:
We are seeking a highly experienced LLM Engineer Contractor to support short-term, high-impact work focused on building, optimizing, and deploying large language models at one of our Big Four clients. The ideal candidate has deep technical expertise across modern LLM architectures, inference systems, and applied machine-learning workflows. This role is fast-paced and hands-on, requiring strong research skills, engineering excellence, and the ability to collaborate across product, data, and ML operations teams. The contractor will contribute directly to model development, performance optimization, and the deployment of LLM-backed features into production environments.
Key Responsibilities:
Model Development & Optimization:
Design, train, fine-tune, and evaluate LLMs for performance, efficiency, safety, and reliability.
Optimize models through techniques such as transfer learning, RLHF, low-rank adaptation (LoRA), quantization-aware training, and distillation.
Conduct rigorous benchmarking and ensure alignment with product or research objectives.
Systems Integration & Deployment:
Build scalable inference pipelines that support high-volume, low-latency LLM serving.
Implement infrastructure optimizations including quantization, caching, sharding, and model distillation.
Integrate models into applications, APIs, or microservices and collaborate with ML Ops to ensure robust deployment.
Research & Cross-Functional Collaboration:
Lead experimentation on new model architectures, prompting strategies, retrieval-augmented generation (RAG), and hybrid search pipelines.
Work closely with product managers, data engineers, ML ops, and research teams to convert experimental insights into production features.
Document findings, communicate results, and contribute to technical roadmaps.
Requirement Skills & Qualifications:
Bachelor's degree in Computer Science, Machine Learning, Engineering, or related field.
Minimum of 6 years of experience in machine learning engineering, deep learning, or related fields.
Proven hands-on experience training, fine-tuning, and deploying LLMs (e.g., GPT-style, LLaMA-based, or transformer architectures).
Strong proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and distributed training systems.
Experience building scalable ML pipelines and working with modern inference stacks (e.g., Triton, Ray Serve, Hugging Face, ONNX Runtime).
Strong understanding of GPU acceleration, optimization, and cloud-native deployment workflows.
Excellent communication skills with the ability to work autonomously in a fast-moving environment.
Preferred Skills & Qualifications:
Experience with RAG systems, vector databases, and search frameworks (e.g., FAISS, Milvus, Pinecone).
Familiarity with model evaluation for alignment, safety, hallucination reduction, and adversarial testing.
Prior experience in a research-oriented or applied AI lab environment.
Master's degree or Ph.D. in a relevant technical field.
Mobile Engineer
Requirements engineer job in Fremont, CA
Mobile Engineer (React Native + iOS/Android)
We're looking for Mobile Engineers to join a growing team. You'll play a key role in technical decision-making and execution, and you'll see firsthand the impact our work has in the healthcare space. You'll build and support features primarily in React Native, with some native development for both iOS (Swift) and Android (Kotlin). You'll also have opportunities to contribute improvements to open-source libraries.
What You'll Do
Design, build, and support easy-to-use mobile applications to help scale the business
Make and implement technology decisions that support business needs without compromising security, privacy, or quality
Enhance existing systems to add functionality and improve performance, stability, quality, and security
Advocate for high standards, make quality-of-life improvements to the codebase, and help limit technical debt
Build strong user empathy and maintain a user-centric mindset
Communicate effectively within cross-functional product teams (e.g., design, product, machine learning, infrastructure)
Mentor and learn from other engineers
Tech Stack
React Native
iOS Native (Swift)
Android Native (Kotlin)
SOC Engineer
Requirements engineer job in Foster City, CA
Source One is a consulting services company and we're currently looking for the following individuals to work for an on-demand, autonomous ride-hailing company in Foster City, CA.
** We are unable to work with third party companies or offer visa sponsorship for this role.
Title: SOC Engineer (contract)
Pay Rate: $94.25/hr (W-2)
Hybrid: 3 days/week on-site
Description: SOC Engineers to help enhance the company's security posture by driving automation and conducting proactive threat hunting. The ideal candidates have a strong InfoSec background with deep experience in SIEM and SOAR platforms, including rule and playbook development, along with proficiency in Python scripting for automation.
There are two positions: One role focused more on the SIEM side (Elastic is what they use, but Splunk ok), and the other role focused more on automation for detection.
As an SOC Engineer, you'll:
- Develop and fine-tune detection and correlation rules, dashboards, and reports within the SIEM to accurately detect anomalous activities.
- Create, manage, and optimize SOAR playbooks to automate incident response processes and streamline security operations.
- Utilize Python scripting to develop custom integrations and automate repetitive tasks within the SOC.
- Build and maintain automation workflows to enhance the efficiency of threat detection, alert triage, and incident response.
- Integrate various security tools and threat intelligence feeds with our SIEM and SOAR platforms using APIs and custom scripts.
- Conduct proactive threat hunting to identify potential security gaps and indicators of compromise.
- Analyze security alerts and data from various sources to identify and respond to potential security incidents.
- Collaborate with Information Security team members and other teams to enhance the overall security of the organization.
- Create and maintain clear and comprehensive documentation for detection rules, automation workflows, and incident response procedures.
Key Responsibilities:
- SIEM and SOAR Platform Management: Maintain our SIEM and SOAR platforms to ensure optimal performance and effectiveness in detecting and responding to security threats. Develop and fine-tune detection and correlation rules, dashboards, and reports within the SIEM to accurately detect anomalous activities. Create, manage, and optimize SOAR playbooks to automate incident response processes and streamline security operations.
- Automation and Scripting: Utilize Python scripting to develop custom integrations and automate repetitive tasks within the SOC. Build and maintain automation workflows to enhance the efficiency of threat detection, alert triage, and incident response. Integrate various security tools and threat intelligence feeds with our SIEM and SOAR platforms using APIs and custom scripts.
- Incident Response and Threat Hunting: Conduct proactive threat hunting to identify potential security gaps and indicators of compromise. Analyze security alerts and data from various sources to identify and respond to potential security incidents.
- Collaboration and Documentation: Collaborate with Information Security team members and other teams to enhance the overall security of the organization. Create and maintain clear and comprehensive documentation for detection rules, automation workflows, and incident response procedures.
Top Skills:
- SIEM: InfoSec background Incident response/threat hunting Rule creation (some query language experience needed)
- SOAR/Automation: Python automation, big data, systems Cortex XSOAR is pretty established - maintaining existing playbooks, logic changes, bug fixes
Required:
- 6+ years of experience in a Security Operations Center (SOC) environment or a similar cybersecurity role
- Hands-on experience with managing and configuring SIEM platforms (e.g., Elastic SIEM, Splunk, QRadar, Microsoft Sentinel)
- Demonstrable experience with SOAR platforms (e.g., Palo Alto Cortex XSOAR, Splunk SOAR) and playbook development
- Proficiency in Python for scripting and automation of security tasks
- Strong understanding of incident response methodologies, threat intelligence, and cybersecurity frameworks (e.g., MITRE ATT&CK, NIST)
- Excellent analytical and problem-solving skills with the ability to work effectively in a fast-paced environment
Preferred:
- Relevant industry certifications such as CISSP, GCIH, or similar
- Experience with cloud security and environmental constructs (AWS, Azure, GCP)
- Familiarity with other scripting languages (e.g., PowerShell, Bash)
- Knowledge of network and endpoint security solutions
Durability CAE Engineer
Requirements engineer job in Newark, CA
Job Description: Durability CAE Engineer
Senior CAE Engineer, Durability
As Senior Durability CAE Engineer, you will be leading the assessment of durability attribute for various vehicle subsystems like Suspension, Body Structures, Powertrain, Battery Pack, interiors, exteriors, closures, seating etc. Along with CAE assessments, you will also be involved in testing activities such as test plan development, test to CAE correlation, testing & validation etc. You will have opportunity to drive the design changes by directly working with design teams by running trade-off studies and design optimization loops. You will work with different testing activities like Regulatory, Certification, and Compliance testing as well as different full-system, sub-system & component level testing.
Your exact job level (Engineer, Sr. Engineer, etc.) will be defined by the experience and technical ability you possess and how well you demonstrate your skills during the interviews. You will be working with team members with different experience levels, and you will have opportunity to engineer groundbreaking products through amazing innovations.
The Role
• Perform strength, stiffness, and fatigue analysis on different vehicle subsystems (chassis, closures, body structure, powertrain etc)
• Perform correlation between test and CAE
• Maintain traceable documentation for all durability analysis and test work
• Able to create FEM mesh from CAD or from rough sketches
• Support design engineers in making sure the parts meet all the durability requirements
• Able to learn and use different CAE software tools (nCode Design Life, ANSA, MetaPost, OptiStruct, Hyperworks CAE products, ADAMS etc).
• Test and benchmark new analysis tools and techniques. Participate in new CAE method development, process automation and benchmarking tasks.
Qualifications:
• 5 + years of related experience ; Bachelor's or a higher degree in Mechanical Engineering or a related field.
• Experience in vehicle level CAE analysis, testing and development
• Experience with performing linear analysis, non-linear analysis, fatigue analysis, design optimization, dynamic analysis with industry standard CAE tools.
• Sound fundamental knowledge of structures and mechanics of materials
• Proficiency in using ANSA, HyperMesh, HyperView, MetaPost, nCode, OptiStruct or similar CAE softwares.
• Strong knowledge of vehicle performance requirements, deriving load cases from requirements, setting performance targets, developing testing and validation plans.
Moveworks Conversational AI Engineer
Requirements engineer job in Santa Rosa, CA
Type: Contract
We are hiring a Moveworks Developer/Engineer for one of our premier consulting clients. This role focuses on building and optimizing AI-powered conversational agents that automate employee support across IT, HR, and business functions.
Responsibilities
• Design, develop, and enhance AI-driven bots using the Moveworks platform
• Configure intents, entities, and NLU models for high accuracy
• Build conversational flows to automate IT/HR/Finance use cases
• Integrate Moveworks with platforms like ServiceNow, Workday, SAP, and Jira
• Develop backend services using Python or Node.js
• Monitor bot performance and implement continuous improvements
• Collaborate with IT and business stakeholders on requirements
• Troubleshoot bot logic, integrations, and platform issues
Qualifications
• 1-3+ years of hands-on experience with Moveworks
• Strong expertise in NLP/NLU configuration
• Programming experience (Python/Node.js/TypeScript)
• REST API development & integration experience
• Exposure to ServiceNow, Workday, Jira, or SAP
• Familiarity with SQL/NoSQL databases
• Strong problem-solving and communication skills
• Experience in Agile/Scrum environments
Founding Engineer
Requirements engineer job in San Francisco, CA
Please read in full: As a founding engineer, you'll work across our entire stack to build and scale our contextual advertising network for AI tools. You'll have significant influence over technical direction and full autonomy. Our immediate priority is backend engineering, but full-stack experience is a strong bonus.
Compensation and what we offer:
Salary Range: $150,000 - $300,000 USD, depending on experience and scope of contribution
Equity: Ranging from $100,000 - $300,000 USD based on experience and contribution
Location: Onsite at our spacious office in San Francisco, California.
Company Background
Gravity is an advertising network for AI chat
Enables advertisers to embed ads in relevant conversations
Ads write themselves using AI
Launched 3 months ago
16M users on installed platforms
$500M/year advertiser spend waiting to onboard
Delivered impressions scaling 10x MoM as we connect supply with demand
Responsibilities
As a founding engineer, you'll be working on:
Building and scaling core infrastructure
Solving novel technical and product challenges with high ambiguity
Driving technical direction with high ownership and autonomy
What We're Looking For
Solving problems with the end user in mind
Full-stack development experience
Strong problem-solving ability in ambiguous technical/product areas
Experience building and scaling distributed systems
Practical experience with LLMs and AI infrastructure
Proven track record of ownership and autonomous execution
Strong communication skills
Why Join Us
Solve cutting-edge advertising challenges with AI
Shape the future of generative advertising
Operate in a flat hierarchy with high ownership and autonomy
Competitive compensation and equity
Be part of a small, talented, fast-moving founding team in San Francisco
Interview Process
Initial screening with CEO
45-minute technical interview
Onsite interview with CEO (video call for non-SF applicants)
Please email your application to ******************** with the subject line
Joining Gravity - [Your Name]
Include:
Your resume
A short introduction about yourself
Any relevant links, such as GitHub, portfolio, or past projects that show your work
Frontend Engineer
Requirements engineer job in San Francisco, CA
UMATR are supporting an early-stage AI startup on a mission to help growing organisations stay aligned and efficient as they scale. Our product acts as an intelligent teammate that understands a company's context, goals, and culture - giving teams unprecedented visibility into what's happening across the business.
They're backed by top-tier global investors and experienced operators from some of the world's leading tech companies. This is a ground-floor opportunity to build foundational systems that will power the next generation of AI-native enterprise software.
What You'll Do
Build and ship high-quality frontend features using React, Next.js, and TypeScript
Translate designs into polished, responsive, production-ready UI
Partner closely with our designer to iterate rapidly on new UX and UI concepts
Take end-to-end ownership of projects in a fast-moving, early-stage environment
Collaborate with founders and cross-functional teams to shape product and technical direction
(Bonus) Work across the stack when needed, supporting backend teams and integrations
What We're Looking For
3+ years of strong frontend engineering experience with React and TypeScript
Solid understanding of modern frontend architectures, state management, and performance optimisation
Ability to learn quickly, work independently, and move with urgency
Experience shipping production systems with high-quality engineering standards
Bonus: experience in a fullstack environment or working closely with backend engineers
Bias toward ownership, rapid execution, and craftsmanship
Ideal Background
Experience building and scaling products at fast-moving startups (preferred), or at high-bar tech companies
Comfortable with early-stage ambiguity and excited by zero-to-one challenges
Strong product intuition and attention to detail
A builder mentality - hands-on, resourceful, and motivated to create something enduring
AI Engineer
Requirements engineer job in San Francisco, CA
You will work across machine learning, data engineering, and software development to build scalable, production-ready AI systems.
Design, develop, and implement machine learning and AI models for various business needs.
Build and maintain data pipelines and training workflows.
Evaluate model performance and run experiments to improve accuracy, efficiency, and reliability.
Deploy models into production using MLOps best practices (CI/CD, model versioning, monitoring).
Collaborate with data scientists, software engineers, and product teams to deliver AI-driven features.
Strong experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
Proficiency in Python and experience building production-grade ML code.
Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes).
Knowledge of data engineering practices, including data pipelines and ETL.
Rust Engineer
Requirements engineer job in Palo Alto, CA
Mission: To build control and configuration software for IoT products such as residential energy products such as Powerwall, Solar Inverter, or Wall Connector.
Day to Day:
The Energy Residential Device Software team is looking for a Software Engineer to build control and configuration software for residential energy products such as Powerwall, Solar Inverter, or Wall Connector.
These products resemble other, more familiar IoT products in many ways: They need to be installed, configured, and diagnosed.
Once operational, they need to run autonomously, respond to commands, and provide customers with useful telemetry. All of this requires control and configuration tools that are reliable and resilient, which is where you come in.
With your help, we can make installing more renewable energy technology easier, faster, and cheaper.
Our software stack is as diverse as our products.
It includes embedded and Linux-based systems, web and native apps, cloud services and local IoT protocols.
Pragmatism, willingness to dive into new codebases, eagerness to work with stakeholders, and engineering leadership are key strengths we expect you to bring to the table.
You will also be responsible to:
Collaborate with Product Managers and Engineers from other disciplines to develop designs and specifications
Work with other engineering teams to develop APIs
Contribute to overall system architecture
Develop modern applications for installation, configuration, and diagnosis
Provide technical leadership and innovation to improve developer productivity, product reliability, and overall system resiliency
Must Haves:
1. Strong experience with Rust
2. Real-world experience with Internet and IoT protocols (e.g., HTTP, REST, websockets, gRPC, Matter)
3. Need to have experience hands on building devices - IoT or Embedded Linux Devices
4. Experience with C and C++ specifically in an embedded environment
Benefits:
The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable)
AI/ML Engineer
Requirements engineer job in Concord, CA
Title- AI/ML ( Platform Engineering)
Duration- 12+ months, contract to hire
Top Skills- AI/Ml, cloud, Kubernates
We are seeking a talented AI/ML Platform Engineer with a strong emphasis on Cloud to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining AI/ML infrastructure and solutions that leverage the full power of cloud. Your expertise will be crucial in enabling our data scientists and machine-learning engineers to develop, deploy, and scale AI models efficiently and effectively.
Key Responsibilities:
Build robust AI/ML platforms on cloud, ensuring scalability, reliability, and performance.
Develop automated workflows and pipelines for model training, validation, deployment, and monitoring.
Work closely with data scientists, ML engineers, and other stakeholders to understand their needs and provide optimal solutions.
Continuously optimize the AI/ML infrastructure for cost, performance, and security.
Implement monitoring solutions to ensure the health and performance of AI/ML systems, and troubleshoot any issues that arise.
Maintain comprehensive documentation of the architecture, workflows, and best practices.
Preferred Qualifications:
Proven experience as an AI/ML engineer with a focus on platform engineering and Azure
Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
Experience in Terraform and Helm will be an advantage.
Strong understanding of LLMs and proven experience building platforms and applications that leverage them.
Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
Strong understanding of data storage, processing, and ETL workflows.
Knowledge in chunking strategies for vector database
Knowledge on classification & Embedding models.
Familiarity with Agile methodologies and project management tools.
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment based on - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
LLM Engineer
Requirements engineer job in San Jose, CA
Job Title: LLM Engineer (Contract)
Company: Big Four Client
Work Authorization: U.S. Citizen or Green Card Holder
Pay Rate: Up to $90 per hour (W2), depending on experience
Duration: 1 Month (with possible extension)
Overview:
We are seeking a highly experienced LLM Engineer Contractor to support short-term, high-impact work focused on building, optimizing, and deploying large language models at one of our Big Four clients. The ideal candidate has deep technical expertise across modern LLM architectures, inference systems, and applied machine-learning workflows. This role is fast-paced and hands-on, requiring strong research skills, engineering excellence, and the ability to collaborate across product, data, and ML operations teams. The contractor will contribute directly to model development, performance optimization, and the deployment of LLM-backed features into production environments.
Key Responsibilities:
Model Development & Optimization:
Design, train, fine-tune, and evaluate LLMs for performance, efficiency, safety, and reliability.
Optimize models through techniques such as transfer learning, RLHF, low-rank adaptation (LoRA), quantization-aware training, and distillation.
Conduct rigorous benchmarking and ensure alignment with product or research objectives.
Systems Integration & Deployment:
Build scalable inference pipelines that support high-volume, low-latency LLM serving.
Implement infrastructure optimizations including quantization, caching, sharding, and model distillation.
Integrate models into applications, APIs, or microservices and collaborate with ML Ops to ensure robust deployment.
Research & Cross-Functional Collaboration:
Lead experimentation on new model architectures, prompting strategies, retrieval-augmented generation (RAG), and hybrid search pipelines.
Work closely with product managers, data engineers, ML ops, and research teams to convert experimental insights into production features.
Document findings, communicate results, and contribute to technical roadmaps.
Requirement Skills & Qualifications:
Bachelor's degree in Computer Science, Machine Learning, Engineering, or related field.
Minimum of 6 years of experience in machine learning engineering, deep learning, or related fields.
Proven hands-on experience training, fine-tuning, and deploying LLMs (e.g., GPT-style, LLaMA-based, or transformer architectures).
Strong proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and distributed training systems.
Experience building scalable ML pipelines and working with modern inference stacks (e.g., Triton, Ray Serve, Hugging Face, ONNX Runtime).
Strong understanding of GPU acceleration, optimization, and cloud-native deployment workflows.
Excellent communication skills with the ability to work autonomously in a fast-moving environment.
Preferred Skills & Qualifications:
Experience with RAG systems, vector databases, and search frameworks (e.g., FAISS, Milvus, Pinecone).
Familiarity with model evaluation for alignment, safety, hallucination reduction, and adversarial testing.
Prior experience in a research-oriented or applied AI lab environment.
Master's degree or Ph.D. in a relevant technical field.
Mobile Engineer
Requirements engineer job in Santa Rosa, CA
Mobile Engineer (React Native + iOS/Android)
We're looking for Mobile Engineers to join a growing team. You'll play a key role in technical decision-making and execution, and you'll see firsthand the impact our work has in the healthcare space. You'll build and support features primarily in React Native, with some native development for both iOS (Swift) and Android (Kotlin). You'll also have opportunities to contribute improvements to open-source libraries.
What You'll Do
Design, build, and support easy-to-use mobile applications to help scale the business
Make and implement technology decisions that support business needs without compromising security, privacy, or quality
Enhance existing systems to add functionality and improve performance, stability, quality, and security
Advocate for high standards, make quality-of-life improvements to the codebase, and help limit technical debt
Build strong user empathy and maintain a user-centric mindset
Communicate effectively within cross-functional product teams (e.g., design, product, machine learning, infrastructure)
Mentor and learn from other engineers
Tech Stack
React Native
iOS Native (Swift)
Android Native (Kotlin)
Moveworks Conversational AI Engineer
Requirements engineer job in San Jose, CA
Type: Contract
We are hiring a Moveworks Developer/Engineer for one of our premier consulting clients. This role focuses on building and optimizing AI-powered conversational agents that automate employee support across IT, HR, and business functions.
Responsibilities
• Design, develop, and enhance AI-driven bots using the Moveworks platform
• Configure intents, entities, and NLU models for high accuracy
• Build conversational flows to automate IT/HR/Finance use cases
• Integrate Moveworks with platforms like ServiceNow, Workday, SAP, and Jira
• Develop backend services using Python or Node.js
• Monitor bot performance and implement continuous improvements
• Collaborate with IT and business stakeholders on requirements
• Troubleshoot bot logic, integrations, and platform issues
Qualifications
• 1-3+ years of hands-on experience with Moveworks
• Strong expertise in NLP/NLU configuration
• Programming experience (Python/Node.js/TypeScript)
• REST API development & integration experience
• Exposure to ServiceNow, Workday, Jira, or SAP
• Familiarity with SQL/NoSQL databases
• Strong problem-solving and communication skills
• Experience in Agile/Scrum environments
Founding Engineer
Requirements engineer job in San Jose, CA
Please read in full: As a founding engineer, you'll work across our entire stack to build and scale our contextual advertising network for AI tools. You'll have significant influence over technical direction and full autonomy. Our immediate priority is backend engineering, but full-stack experience is a strong bonus.
Compensation and what we offer:
Salary Range: $150,000 - $300,000 USD, depending on experience and scope of contribution
Equity: Ranging from $100,000 - $300,000 USD based on experience and contribution
Location: Onsite at our spacious office in San Francisco, California.
Company Background
Gravity is an advertising network for AI chat
Enables advertisers to embed ads in relevant conversations
Ads write themselves using AI
Launched 3 months ago
16M users on installed platforms
$500M/year advertiser spend waiting to onboard
Delivered impressions scaling 10x MoM as we connect supply with demand
Responsibilities
As a founding engineer, you'll be working on:
Building and scaling core infrastructure
Solving novel technical and product challenges with high ambiguity
Driving technical direction with high ownership and autonomy
What We're Looking For
Solving problems with the end user in mind
Full-stack development experience
Strong problem-solving ability in ambiguous technical/product areas
Experience building and scaling distributed systems
Practical experience with LLMs and AI infrastructure
Proven track record of ownership and autonomous execution
Strong communication skills
Why Join Us
Solve cutting-edge advertising challenges with AI
Shape the future of generative advertising
Operate in a flat hierarchy with high ownership and autonomy
Competitive compensation and equity
Be part of a small, talented, fast-moving founding team in San Francisco
Interview Process
Initial screening with CEO
45-minute technical interview
Onsite interview with CEO (video call for non-SF applicants)
Please email your application to ******************** with the subject line
Joining Gravity - [Your Name]
Include:
Your resume
A short introduction about yourself
Any relevant links, such as GitHub, portfolio, or past projects that show your work
Mobile Engineer
Requirements engineer job in San Francisco, CA
Mobile Engineer (React Native + iOS/Android)
We're looking for Mobile Engineers to join a growing team. You'll play a key role in technical decision-making and execution, and you'll see firsthand the impact our work has in the healthcare space. You'll build and support features primarily in React Native, with some native development for both iOS (Swift) and Android (Kotlin). You'll also have opportunities to contribute improvements to open-source libraries.
What You'll Do
Design, build, and support easy-to-use mobile applications to help scale the business
Make and implement technology decisions that support business needs without compromising security, privacy, or quality
Enhance existing systems to add functionality and improve performance, stability, quality, and security
Advocate for high standards, make quality-of-life improvements to the codebase, and help limit technical debt
Build strong user empathy and maintain a user-centric mindset
Communicate effectively within cross-functional product teams (e.g., design, product, machine learning, infrastructure)
Mentor and learn from other engineers
Tech Stack
React Native
iOS Native (Swift)
Android Native (Kotlin)