What we offer:

• Competitive compensation package including equity and annual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and  MetLife (including a medical plan with infertility benefits)
• MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
• Flexible PTO, 10 paid holidays, and generous parental leave policies
• Our office is centrally located in Mountain View, CA
• Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
• Long Term Disability, Short Term Disability, Life Insurance
• Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) 
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)

Overview 

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?

About the Role

Flex is looking for a Staff Software Engineer to join our core platform team. We want engineers with ideas (because they’ll definitely be heard on our small and tight-knit team) and ambition! Successful devs will feel comfortable in a startup environment and will be happy to work in a remote-first team with a lot of independence. As a Staff Engineer at Flex, you’ll help set technical direction and shape the long-term architecture of our backend services while still being hands-on with coding and delivery. You will collaborate across engineering, product, design, and other stakeholders to ensure scalable, reliable, and impactful systems that power consumer experiences, partner integrations, and our core business platforms. You’ll also play a critical role in mentoring engineers, elevating technical standards, and ensuring the success of projects end-to-end.

Our Engineering Teams

• Consumer Engineering: Builds the APIs and backend systems powering Flex’s main consumer-facing products. This team focuses on delivering scalable services for a seamless rent payment experience through our mobile and web apps.
  
  
• Partner Integrations Engineering: Owns the backend services and integrations that connect Flex to financial partners and payment networks, ensuring reliable, secure payment flows and partner-facing experiences.
  
  
• Core Platform Engineering: Maintains the backend systems and infrastructure supporting all business features, including Payments, Billing, Identity, and Partner Integrations, ensuring Flex’s foundation is robust and scalable.
  
  
• Risk Platform Engineering: Develops the platforms and APIs that mitigate credit and fraud risk, enhancing customer accessibility while safeguarding against misuse through advanced rules engines, machine learning, and event data systems.

What You’ll Do

• Design, implement and maintain our Finance service and internal tooling, including financial reporting, reconciliation/audit process.
• Design and develop new APIs and functionalities to support large money movements across our banking partners via different payment rails, such ACH.
• Scale out core platform to support business growth while maintaining performance and reliability 
• Continuously improving our daily operations with automation, tooling, design evolution, observability etc.
• Work closely with product, analytics, finance and engineering peers to launch new financial features into our platform

What We're Looking For

• 6+ years of experience in software development or a related field 
• Experience in technical leadership, guiding engineering teams through complex projects 
• Experience with Java, Python, Golang, or TypeScript/Node.js.
• Strong experience with relational SQL and NoSQL databases, such as MySQL/PostgreSQL/DynamoDB
• Experience in designing and developing the fault-tolerant and scalable distributed systems 
• Experience with AWS cloud services: ESC/EKS, Lambda, API Gateway, VPN, RDS etc
• Infrastructure as code(AWS CLI, AWS CDK/Terraform)  
• Strong communication skills with the ability to understand and explain technical issues to a non-technical audience 
• Follow engineering best practices as well as propose new ones 
• Experience with finance reporting and reconciliation
• Deep experience with writing complex query and data mining
  
  

• Tier A: (NYC/SF): $200,000 —$250,000 USD
• Tier B: $180,000—$225,000 USD
• Tier C: $170,000 —$212,500 USD

#LI-Remote

About the Role

We’re looking for an engineer to join us and contribute to data infrastructure. You'll join a small, high-impact team responsible for architecting and scaling the core infrastructure behind distributed training pipelines, multimodal data catalogs, and intelligent processing systems that operate over petabytes of data.

Infrastructure is critical to us: it's the bedrock that enables every breakthrough. You'll work directly with researchers to accelerate experiments, develop new datasets, improve infrastructure efficiency, and enable key insights across our data assets.

If you're excited by distributed systems, large-scale data mining, open-source tools like Spark, Kafka, Beam, Ray, and Delta Lake, and enjoy building from the ground up, we'd love to hear from you.

Note: This is an "evergreen role" that we keep open on an on-going basis to express interest. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.

What You’ll Do

• Design, build, and operate scalable, fault-tolerant infrastructure for LLM Research: distributed compute, data orchestration, and storage across modalities.
• Develop high-throughput systems for data ingestion, processing, and transformation — including training data catalogs, deduplication, quality checks, and search.
• Build systems for traceability, reproducibility, and robust quality control at every stage of the data lifecycle.
• Implement and maintain monitoring and alerting to support platform reliability and performance.
• Collaborate with research teams to unlock new features, improve data quality, and accelerate training cycles.

Skills and Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent experience in computer science, engineering, or similar.
• Proficiency in at least one backend language (we use Python or Rust).
• Are fluent in distributed compute frameworks such as Apache Spark or Ray.
• Are deeply familiar with cloud infrastructure, data lake architectures, and batch and streaming pipelines.
• Comfort operating across the stack and owning projects end-to-end.
• Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
• A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.

Preferred qualifications — we encourage you to apply if you meet some but not all of these:

• Have hands-on experience with Kafka, dbt, Terraform, and Airflow.
• Have experience building a web crawler.
• Have extensive experience understanding and scaling deduplication, data mining, and search.
• Have strong knowledge of file formats and storage systems (e.g., Parquet, Delta Lake, etc.) and how they impact performance and scalability.
• Are proactive about documentation, testing, and empowering your teammates with good tooling.

Logistics

• Location: This role is based in San Francisco, California. 
• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

About the Role:

The Machine Learning team at Tubi drives the innovation behind personalized user experiences.  With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming.

We are seeking a highly skilled Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions.

What You'll Do:

• Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience
• Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas
• Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment
• Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences.
• Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement

Your Background:

• 8+ years of industry experience building production Machine Learning systems
• MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
• Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks
• Proficiency in building and deploying full-stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment.
• Solid understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning.
• Ability to deep dive into individual components and systems, as well as understand the overall architecture of machine learning solutions.

#LI-Hybrid #LI-SC1

About the Role

As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes.

This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis.

You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors.

Responsibilities

• Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.
• Lead technical discovery. Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.
• Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.
• Own product scoping for field engagements. Define the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve.
• Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.
• Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.
• Codify reusable delivery assets. Build solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.
• Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics.
• Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.
• Run delivery operations. Sprint ceremonies, milestone reviews, and progress reporting.
• Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (25–50% expected).

You May Be a Good Fit If You

• Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.
• Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.
• Have experience in a specialized vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.).
• Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.
• Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making — ideally across multiple workstreams in regulated industries.
• Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.
• Thrive in ambiguity and bring structure where none exists.
• Have a builder's mindset — you're here to create a function, not join one.

About the Job

At BuildOps, we’re building a groundbreaking software solution designed to empower today’s commercial contractors. From service management to project execution, we’re reimagining how our customers operate. Our team thrives on ambition, innovation, and collaboration—qualities we look for in every new hire.

As our Founding Engineer, Agentic Business Transformation, you will embed directly within business functions across the organization, deeply understand how teams operate today, and fundamentally reimagine how they should operate tomorrow. This is not about bolting automation onto existing processes; it's about redesigning how work gets done with agentic tooling transforming (and eliminating) workflows. You will partner with leaders across GTM and G&A to surface high-impact opportunities, architect intelligent solutions, and deliver measurable gains in productivity, output quality, and the experiences we deliver to our customers and employees. You will define what "AI-native operations" looks like inside a high-growth B2B SaaS company—well before most companies have even started asking the question. This is a high visibility role and will involve daily contact with the CEO, Chief of Staff, Chief Revenue Officer, and other members of the BuildOps Executive Leadership Team (ELT). 

ROLES AND RESPONSIBILITIES 

• Embed within internal business functions, including Revenue, RevOps, Customer Success, Customer Support, Finance, People, and Talent, to develop a deep, firsthand understanding of current workflows, pain points, and decision-making processes 
• Conduct structured discovery, shadowing teams, interviewing stakeholders, and mapping end-to-end processes, to identify where AI can eliminate, redesign, or dramatically accelerate work 
• Reimagine workflows from first principles rather than automating existing steps; challenge assumptions about what requires human involvement and what doesn't 
• Design, build, and deploy AI-powered automations, agents, and internal tools that reduce time spent on repetitive, low-value-add tasks while improving the quality and consistency of outputs 
• Integrate large language models, agentic frameworks, and automation platforms into production-grade internal workflows with appropriate guardrails, error handling, and human-in-the-loop checkpoints 
• Measure everything: establish baselines before intervention, track adoption and usage patterns post-deployment, and quantify productivity impact in terms of hours saved, error rates reduced, and cycle times compressed 
• Serve as a trusted advisor to functional leaders on what AI can and cannot do for their teams; translate business problems into technical solutions and technical constraints into business language 
• Stay abreast of the rapidly evolving AI tooling landscape (e.g., LLM capabilities, orchestration frameworks, RPA-to-AI convergence, no-code/low-code platforms) and calibrate our internal stack accordingly 
• Build reusable patterns, templates, and playbooks so that successful automations in one function can be adapted and scaled across others 
• Collaborate closely with the engineering and product organizations to ensure internal automation efforts align with our broader technology strategy and do not create shadow IT risk 

QUALIFICATIONS 

• 5+ years of professional experience building automations, intelligent workflows, or AI-powered solutions in a business context—whether that foundation was in robotic process automation, software engineering, solutions engineering, or applied AI 
• Demonstrated ability to work directly with non-technical business teams: you have spent meaningful time understanding how people actually work before designing what to build 
• Hands-on experience with modern AI tooling, including large language models (e.g., Claude, GPT), prompt engineering, and at least one orchestration or agentic framework (e.g., LangChain, CrewAI, n8n, or similar) 
• Strong scripting and integration skills with the ability to connect APIs, build data pipelines, and stand up end-to-end workflows in production—not just prototypes
• Track record of automating processes that previously required human judgment—not just rules-based tasks, but work involving unstructured data, natural language inputs, or contextual decision-making
• Process-oriented mindset: you naturally decompose complex workflows into discrete steps, identify bottlenecks, and think in terms of inputs, outputs, and handoffs
• Comfort operating with high autonomy in a fast-moving environment; you don't wait to be told what to build — you go find the highest-leverage problem and propose a solution
• Excellent communication skills: you can present a business case to the CEO, C-suite executives, or VPs, run a discovery session with an ops team, and write clear documentation for a workflow you've built
• Experience in B2B SaaS, vertical software, or a similarly complex operational environment is a strong plus
• Familiarity with process mining, workflow analytics, or structured methodologies for identifying automation candidates (e.g., lean, six sigma, or consulting-style process improvement) is a plus

COMPENSATION

• [$188,000 to $273,000 base] + bonus opportunity (LA or SF Hub)

About the Company 

The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers.

KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. In the six years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists.

KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery.

KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi.

About the Role

This role will drive the design, development, and deployment of a next-generation hardware technology that will transform how KoBold collects and interprets exploration data. This role is ideal for a mechanical engineer who thrives at the intersection of science, engineering, and data and is excited about bringing new technology to life. 

In this role, you will lead the full technical lifecycle of a critical new hardware system: from concept and prototyping through validation, automation, manufacturing, and deployment in the field. You will work closely with our data scientists, engineers, and geoscientists to design instrumentation that produces rich, high-quality datasets, feeding the machine learning models that drive KoBold’s mineral exploration around the world.  You will be a key member of a hardware development team and contributor to various novel hardware projects.  

You will also help to build the hardware development discipline and organization at Kobold, contributing to a culture and process that will make our engineering efforts innovative, scalable and repeatable. You will report to the Head of Hardware and join a world-class team of data scientists, engineers and geoscientists developing novel technologies to accelerate the discovery of critical minerals for batteries and electrification.  

Responsibilities

• Lead the technical development of a novel, automated sensing and imaging system from concept and prototype to deployment of multiple systems in remote field sites.  Coordinate with and orchestrate internal and external resources across hardware and software engineering to deliver.  
• Lead system architecture definition, navigating technical tradeoffs through rigorous research and analysis and balancing cost, complexity, and timeline.  
• Collaborate with KoBold's data systems and exploration teams to integrate the new data stream into KoBold's proprietary data system and ensure usability for exploration projects.
• Build a deep understanding of mineral exploration science and operations to ensure the system and data generated meet user needs and field requirements. 
• Build partnerships, source, and contract with service providers and vendors to develop hardware solutions that solve KoBold exploration needs.
• Create effective product plans and mechanical, mechatronic and automation designs - from concept through prototyping and production. 
• Contribute engineering expertise, analysis, and design to various hardware projects across Kobold.
• Help develop Kobold’s hardware development tools and processes.

Qualifications

A great Hardware Development Engineer candidate will have:

• A successful track record of developing and deploying complex state-of-the-art automated scientific equipment. 
• Experience deploying and supporting complex equipment to remote sites including commissioning, validation, training and monitoring.  
• The ability to simultaneously and gracefully wear many hats including technical lead, project manager, product manager, and hands on in-the-weeds engineer. 
• Excellent communication skills for a highly interdisciplinary workplace.

Technical skills, including extensive experience with:

• Leading teams to execute end-to-end technical product development from concept through testing and deployment. 
• Physical measurement and data analysis systems. 
• Applying scientific knowledge to identify and prototype emerging technologies.
• Automation, systems integration and data acquisition.
• Mechanical engineering, CAD, analysis, prototyping.
• Vendor selection and management.
• 3rd party contractor selection and management.

Work practices and motivation:

• Ability and desire to take ownership and responsibility of large projects.
• Enjoys constantly learning such that you are driving insights and innovations.
• Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t hardware experts.
• Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.
• Ability to independently prioritize multiple tasks effectively.
• Solutions oriented, positive, and collaborative.

It is also helpful but not required to have experience with:

• Product management for scientific hardware.
• Optics, electronics, and instrumentation.
• Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.
• Ability to explain technical problems to and collaborate on solutions with domain experts who are not hardware engineers. A strong communicator who enjoys working with colleagues across the company.
• Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on an evolving range of responsibilities.
• Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
• A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world. Travel for this role typically does not exceed 2 trips per year. 

KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunities for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, marital status, disability, or veteran status.

This position is Full-time Exempt

The US base salary range for this full-time exempt position is $150,000 - $190,000. In addition, KoBold offers company equity.

Location: San Francisco Bay Area.  Must be able to work out of the Berkeley, CA office on any given day of the week.  

Travel: Must be able to travel domestically and internationally, 20-30% time.  Travel may include visits to remote field sites.  Work trips may extend to 3+ weeks.  

About the Company 

The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers.

KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. In the six years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists.

KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery.

KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi.

About the Role

This role will drive the design, development, and deployment of a next-generation hardware technology that will transform how KoBold collects and interprets exploration data. This role is ideal for a mechanical engineer who thrives at the intersection of science, engineering, and data and is excited about bringing new technology to life. 

In this role, you will lead the full technical lifecycle of a critical new hardware system: from concept and prototyping through validation, automation, manufacturing, and deployment in the field. You will work closely with our data scientists, engineers, and geoscientists to design instrumentation that produces rich, high-quality datasets, feeding the machine learning models that drive KoBold’s mineral exploration around the world.  You will be a key member of a hardware development team and contributor to various novel hardware projects.  

You will also help to build the hardware development discipline and organization at Kobold, contributing to a culture and process that will make our engineering efforts innovative, scalable and repeatable. You will report to the Head of Hardware and join a world-class team of data scientists, engineers and geoscientists developing novel technologies to accelerate the discovery of critical minerals for batteries and electrification.  

Responsibilities

• Lead the technical development of a novel, automated sensing and imaging system from concept and prototype to deployment of multiple systems in remote field sites.  Coordinate with and orchestrate internal and external resources across hardware and software engineering to deliver.  
• Lead system architecture definition, navigating technical tradeoffs through rigorous research and analysis and balancing cost, complexity, and timeline.  
• Collaborate with KoBold's data systems and exploration teams to integrate the new data stream into KoBold's proprietary data system and ensure usability for exploration projects.
• Build a deep understanding of mineral exploration science and operations to ensure the system and data generated meet user needs and field requirements. 
• Build partnerships, source, and contract with service providers and vendors to develop hardware solutions that solve KoBold exploration needs.
• Create effective product plans and mechanical, mechatronic and automation designs - from concept through prototyping and production. 
• Contribute engineering expertise, analysis, and design to various hardware projects across Kobold.
• Help develop Kobold’s hardware development tools and processes.

Qualifications

A great Hardware Development Engineer candidate will have:

• A successful track record of developing and deploying complex state-of-the-art automated scientific equipment. 
• Experience deploying and supporting complex equipment to remote sites including commissioning, validation, training and monitoring.  
• The ability to simultaneously and gracefully wear many hats including technical lead, project manager, product manager, and hands on in-the-weeds engineer. 
• Excellent communication skills for a highly interdisciplinary workplace.

Technical skills, including extensive experience with:

• Leading teams to execute end-to-end technical product development from concept through testing and deployment. 
• Physical measurement and data analysis systems. 
• Applying scientific knowledge to identify and prototype emerging technologies.
• Automation, systems integration and data acquisition.
• Mechanical engineering, CAD, analysis, prototyping.
• Vendor selection and management.
• 3rd party contractor selection and management.

Work practices and motivation:

• Ability and desire to take ownership and responsibility of large projects.
• Enjoys constantly learning such that you are driving insights and innovations.
• Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t hardware experts.
• Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.
• Ability to independently prioritize multiple tasks effectively.
• Solutions oriented, positive, and collaborative.

It is also helpful but not required to have experience with:

• Product management for scientific hardware.
• Optics, electronics, and instrumentation.
• Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.
• Ability to explain technical problems to and collaborate on solutions with domain experts who are not hardware engineers. A strong communicator who enjoys working with colleagues across the company.
• Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on an evolving range of responsibilities.
• Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
• A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world. Travel for this role typically does not exceed 2 trips per year. 

KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunities for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, marital status, disability, or veteran status.

This position is Full-time Exempt

The US base salary range for this full-time exempt position is $150,000 - $190,000. In addition, KoBold offers company equity.

Location: San Francisco Bay Area.  Must be able to work out of the Berkeley, CA office on any given day of the week.  

Travel: Must be able to travel domestically and internationally, 20-30% time.  Travel may include visits to remote field sites.  Work trips may extend to 3+ weeks.