Controls Engineer Jobs in Miami.
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RAN Deployment Engineer
AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today’s five billion mobile subscribers and finally bring broadband to the billions who remain unconnected.
Position Overview
The RAN Deployment Engineer is responsible for executing all deployment, installation, and integration activities required to enable stable satellite‑to‑mobile connectivity across India and within global delivery programs. This role supports gateway and cell‑site builds, performs beam surveys, validates field installations, uploads configurations, and conducts probe‑based integration checks to ensure RAN readiness for satellite network activation.
The position works closely with regional engineering teams, the NOC, vendors, and global deployment groups to resolve technical blockers, uphold high integration quality, and support seamless service enablement.
Operating at the intersection of field engineering and advanced satellite‑RAN deployment, this role demands precision during installation, disciplined validation practices, and continuous coordination with cross‑functional teams. The RAN Deployment Engineer must balance technical accuracy, operational urgency, and regulatory variations across India to ensure smooth and consistent readiness for global satellite network activation.
Key Responsibilities
Field Deployment & Installation Activities
- Deliver RAN deployment activities including cell‑site builds, managing end-to-end field installation processes for satellite-RAN infrastructure
- Execute installation checks and commissioning procedures to validate proper equipment mounting, cabling, power connections, and environmental controls
- Validate CIQ inputs/outputs and CIQ-to-SCF generation to avoid deployment rework
- Validate Cell site router to Core integration, transport readiness
- Perform configuration uploads and software provisioning to ensure RAN equipment is properly configured according to deployment specifications
- Perform and validate BPMS to eNB port mapping, transport, clocking, and interface readiness
- Support Beam Go / No-Go readiness reviews and provide technical sign-off inputs
- Own technical handover from Delivery to Service Acceptance, ensuring all acceptance criteria and artifacts are met
- Enable stable satellite‑mobile connectivity through systematic installation, integration, and validation of RAN components and interfaces
Technical Validation & Testing
- Perform probe validations and acceptance testing to verify RAN functionality, connectivity, and performance against established criteria
- Conduct integration testing between satellite-RAN equipment and terrestrial network components to ensure seamless connectivity
- Execute acceptance tasks including functional testing, performance validation, and documentation completion for site commissioning
- Execute Acceptance checks with vendors for handover to Service Acceptance
Coordination & Collaboration
- Coordinate with regional engineering, NOC, vendors, and global deployment teams to align deployment activities with project schedules and technical requirements
- Interface with network operations centres to ensure proper monitoring integration and operational readiness during deployment phases
- Work with vendor teams to resolve equipment issues, on site hardware delivery, coordinate software updates, and ensure proper installation procedures
- Collaborate with global deployment teams to maintain consistency in deployment standards and share lessons learned across regions
Technical Issue Resolution & Quality Assurance
- Resolve technical blockers encountered during deployment including equipment failures, configuration issues, and integration challenges
- Troubleshoot complex technical problems affecting RAN performance, connectivity, or functionality during installation and commissioning
- Ensure reliable RAN readiness supporting global satellite network activation through comprehensive validation and quality assurance processes
- Document and escalate unresolved issues to appropriate technical teams while implementing temporary workarounds to maintain deployment schedules
Qualifications
Education
- Bachelor's degree in electrical engineering, telecommunications engineering, computer engineering, or related technical field
- Associate degree with relevant telecommunications experience accepted
Experience
- Minimum 4+ years in telecommunications field deployment, network installation, or wireless infrastructure commissioning
- 2+ years hands-on experience with RAN deployment, cell site installation, or wireless network infrastructure and CIQ handling
- Proven experience with field installation, testing, and commissioning of complex telecommunications equipment
Required Technical Expertise
- Strong understanding of RAN technologies, wireless communications principles, and telecommunications infrastructure
- Knowledge of installation procedures for telecommunications equipment including Rack, eNodeB antennas, transceivers, GPS & CSR and network infrastructure
- Familiarity with configuration management, software provisioning, and equipment commissioning processes
Preferred Qualifications
- Experience with satellite communications systems, satellite-RAN integration, or space-terrestrial network deployment
- Background in field deployment roles at wireless carriers, equipment vendors, or telecommunications contractors
- Knowledge of safety procedures and compliance requirements for telecommunications field work
- Experience with network monitoring systems and performance validation tools
- Familiarity with project coordination and deployment management practices
Professional Skills
- Strong problem-solving and troubleshooting skills for complex technical issues in field environments
- Excellent communication skills for coordination with multiple technical teams and stakeholders
- Proven ability to work independently in field environments while maintaining safety and quality standards
- Experience with technical documentation, test reporting, and deployment validation procedures
Technology Proficiency
- Proficiency with RF testing equipment including spectrum analysers, power meters
- Experience with network configuration tools and equipment management systems
- Familiarity with field measurement software and data collection tools used in wireless deployment
- Knowledge of safety equipment and procedures required for telecommunications field work
Skills & Competencies
- Field Installation Expertise: Hands-on experience with telecommunications equipment installation, cabling, and commissioning procedures
- RF Testing & Validation: Proficiency with RF measurement equipment and wireless network performance validation techniques
- Technical Troubleshooting: Systematic approach to identifying and resolving complex technical issues in field environments
- Safety Consciousness: Commitment to safety procedures and compliance with telecommunications industry safety standards
- Documentation & Reporting: Clear technical writing and accurate documentation of deployment activities and test results
- Team Coordination: Effective collaboration across multiple technical disciplines and organizational boundaries
Cross-Functional Interfaces
This role collaborates regularly with:
- Internal: Regional Engineering Teams, Network Operations Center, RF Engineering, Field Operations, Quality Assurance, Program Management, Safety and Compliance
- External: Equipment vendors, installation contractors, testing laboratories, site owners, local regulatory authorities
Physical Requirements
- Role will be based in United States with extensive travel for field deployment activities across multiple regions (~50%)
- Ability to perform physical field work including equipment installation,
- Valid driver's license and ability to travel to remote deployment sites as required by project schedules
- Ability to work flexible hours including weekends and extended shifts during critical deployment phases
This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands.
AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Ready to apply?
Apply to AST SpaceMobile
Lead Security Engineer (AI) – Product Security
About Nubank
Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.
Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.
Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Bank. Visit our institutional page https://international.nubank.com.br/careers/
About the role
AI is core to how Nubank builds products — and securing it is one of the most critical and forward-looking challenges in the company. The AI Security team, part of Nubank's Information Technology & Security area, is responsible for ensuring that AI systems are developed and operated safely and securely at scale, across LLM-powered applications, autonomous agents, and the infrastructure that supports them.
As Lead Security Engineer (AI), you will own and drive Nubank's defensive security strategy for AI products and internal tools. You will define frameworks, set technical direction, build runtime protections, and enable engineering teams across the company to ship AI systems securely by default. This role sits at the intersection of cutting-edge AI and high-stakes security — and your work will directly shape how one of the world's largest fintechs builds trustworthy AI at scale.
You'll be Responsible For
- Leading the security strategy for Nubank's AI systems — covering LLM-powered applications, AI agents, and their underlying infrastructure — and building the standards and frameworks that guide secure AI deployment across the company.
- Securing AI agents and autonomous workflows by hardening tool usage, enforcing appropriate permission levels, and monitoring agent behavior and decision-making in production.
- Designing and enabling secure architectural patterns for AI applications, including LLM-based services and agent orchestration systems.
- Developing AI-specific detection and monitoring capabilities to identify abuse, misuse, and anomalous behavior — including telemetry across prompts, responses, tool usage, and agent execution.
- Designing and implementing runtime protections for LLM applications, such as prompt injection detection, jailbreak protection, abuse detection, and output safety controls.
- Collaborating with AI engineers and platform teams to integrate security controls into AI development and deployment pipelines.
- Staying current with emerging threats and AI security trends, translating them into concrete controls, guidelines, and standards across Nubank's engineering organization.
We Are Looking for a Person Who Has
- Deep expertise in product security, application security, or cloud security, combined with hands-on experience building AI agent systems.
- A proven track record leading cross-team technical initiatives — setting standards and driving adoption without direct authority.
- Experience designing and implementing secure systems and controls in production environments.
- Hands-on experience with runtime security controls (input validation, abuse detection, policy enforcement) in high-throughput production systems.
- Solid familiarity with LLM application architectures — including prompt pipelines, tool use, and RAG — and their threat surfaces such as prompt injection, data exfiltration, and jailbreaks.
- Strong understanding of agentic systems and AI infrastructure, with the ability to threat-model novel and non-deterministic systems.
- Experience building monitoring, telemetry, and alerting for production systems.
- Strong programming skills in at least one production language, with the ability to read and review code across the AI stack.
Location
- Durham, United States
- Miami, United States
- Palo Alto, United States
- Washington DC, United States
Our Benefits
- Opportunity of earning equity at Nu
- Medical Insurance
- Dental and Vision Insurance
- Life Insurance and AD&D
- Extended maternity and paternity leaves
- Nucleo - Our learning platform of courses
- NuLanguage - Our language learning program
- NuCare - Our mental health and wellness assistance program
- 401K
- Saving Plans - Health Saving Account and Flexible Spending Account
- Work-from-home Allowance
- Relocation Assistance Package, if applicable.
Work Model for this Role
Hybrid 2–3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Location-Specific Disclosures
- Palo Alto: Total compensation includes base salary, RSUs and benefits. Base salary range: $15,360 - $23,040
Ready to apply?
Apply to Nubank
ABOUT HUT 8
Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the world’s largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging opportunities for individuals who want to build teams, solve problems, and make an impact from day one. If you’re an ambitious individual looking for a career that is as rewarding as it is challenging, you’ve come to the right place.
The Process Analyst works directly within Project Operations to diagnose, design, and optimize the workflows that power Hut 8’s data center and energy infrastructure delivery. This is an analytically driven role — part data analyst, part process engineer, part automation strategist. The Process Analyst maps how work actually flows across the organization, identifies where it breaks down, builds the case for change, and helps implement the solutions. This role ensures that Hut 8’s operational processes evolve as fast as its portfolio does.
Key responsibilities include:
• Map and analyze current project and company workflows end-to-end, producing clear visual documentation that identifies handoff points, dependencies, redundancies, and failure modes across the delivery lifecycle
• Identify bottlenecks and inefficiencies in digital delivery, document control, and project coordination processes — translating qualitative observations and quantitative data into prioritized improvement recommendations
• Develop automation strategies that reduce manual overhead across the organization, evaluating workflow automation platforms and partnering with internal stakeholders to scope, pilot, and implement solutions
• Analyze project data to surface trends, measure process performance, and provide leadership with actionable intelligence on where the organization’s workflows are working and where they’re breaking down
• Collaborate directly with department leadership to design and refine Hut 8’s project delivery frameworks, ensuring that process standards are built on evidence and continuously improved through structured feedback loops
• Build and maintain repeatable-use templates, workflow guides, and decision trees that codify best practices and reduce variability across the project portfolio
• Own the lessons learned program — capturing institutional knowledge from project teams after key milestones and translating it into measurable process improvements
• Support the development of process KPIs and reporting dashboards that track framework adoption, workflow efficiency, and automation impact across active programs
• And other duties as assigned
• Bachelor's degree in Industrial Engineering, Business Analytics, Information Systems, or a related field
• 2+ years of experience in process analysis, business analysis, operational improvement, or project controls — industry background is flexible, but exposure to AEC, infrastructure, or capital project environments is a plus
• Proficiency in data analysis tools including advanced Excel; experience with Power BI, SQL, or comparable analytics platforms is strongly preferred
• Hands-on experience with process mapping and documentation tools such as Visio, Lucidchart, or Miro
• Familiarity with workflow automation platforms such as Power Automate, Zapier, or similar tools, with the ability to evaluate, scope, and help implement automation opportunities
• Working knowledge of Microsoft 365 and SharePoint, with comfort building and maintaining templates, trackers, and documentation within collaborative environments
• Exposure to Lean, Six Sigma, or similar process improvement methodologies is a strong plus
• Strong written and verbal communication skills, with the ability to present complex findings and recommendations clearly to both technical and non-technical audiences
ABOUT THE WORK ENVIRONMENT
This role is in office at our corporate headquarters in the Brickell area of Miami, Florida. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
WHAT MAKES HUT 8 A GREAT PLACE TO WORK
Hut 8 offers a benefits and wellness program that includes medical, dental, vision, life, and short-term and long-term disability insurance, as well as paid time off. We are proud to invest in building the best team in the industry. At all levels of the organization, we are driven by an entrepreneurial spirit, radical transparency, and relentless growth mentality.
At Hut 8, you will have the opportunity to:
▶ Work with bright, driven peers from a range of educational and professional backgrounds including software development, energy, engineering, entrepreneurship, investment banking, private equity, and management consulting
▶ Design and pitch new products, services, and other initiatives to a leadership team consisting of serial entrepreneurs and seasoned executives and backed by a board of directors consisting of industry veterans of energy, finance, and government
▶ Debate ideas and alternatives in a truly meritocratic setting where the learning curve is steep and the lessons come from both senior and junior members of the team
▶ Build a lifelong network of friends and professional connections at the cutting-edge intersection of technology, energy, and infrastructure
Ready to apply?
Apply to Hut 8
About Us
Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.
Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.
Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Bank. Visit our institutional page [Careers at Nu - Join our team!](https://international.nubank.com.br/careers/)
About the Role
At Nu, data is the foundation that powers our AI and machine learning models, enabling millions of customers to access fair financial products. As a Machine Learning Engineer in AI Core, Data Intelligence, you’ll work across a broad spectrum — from building scalable data infrastructure and feature pipelines that feed our state-of-the-art foundation models to designing, training, and shipping transaction classification models that power critical customer experiences across the company.
You'll work at the intersection of data and applied machine learning, contributing across multiple stages of the ML lifecycle: ingesting and labeling data, training and evaluating models, and helping with deployment and production monitoring through robust quality controls. You’ll partner closely with product, compliance, and ML teams to ensure models are auditable, privacy-aware, and deliver measurable business value.
You'll join a team that manages the data engineering backbone of AI Core, ensuring data is accessible, healthy, and properly tracked across our entire ML ecosystem. Here, you'll combine your expertise in building scalable data systems with your passion for machine learning, creating solutions that enable our models to learn from better, richer data.
You can read more about the work in the AI Core team on our blog: https://building.nubank.com/understanding-our-customers-finances-through-foundation-models/
Key Responsibilities
As a Lead Machine Learning Engineer in AI Core Data Intelligence, you will:
- Design and build scalable data ingestion pipelines that bring new datasets into our AI Core platform, ensuring reliable, efficient data flow from source to model training.
- Implement data quality monitoring and validation systems that catch issues before they impact model performance, maintaining the health of datasets across our ML ecosystem.
- Model new types of data into our foundation models.
- Analyze the impact of new data sources on existing models, conducting experiments to measure performance improvements and guide data acquisition decisions.
- Develop and maintain data preparation workflows that transform raw data into features ready for model training, working with distributed computing frameworks like Ray.
- Tune and optimize machine learning models when new datasets are integrated, applying hyperparameter optimization and evaluating model performance improvements.
- Collaborate with AI Core ML, Platform, and Infra teams to ensure seamless data flow across our ML infrastructure, from ingestion to model deployment.
- Lead technical initiatives that improve our data engineering practices, setting standards for data quality, pipeline reliability, and model-data integration.
- Mentor team members and contribute to hiring activities, helping build a strong and diverse team that drives innovation in AI infrastructure.
Basic Qualifications
- Typically 6+ years of experience in machine learning engineering, data engineering, or related fields with a strong track record of building production data and ML systems.
- Proven experience designing and building data ingestion pipelines at scale, with expertise in distributed computing frameworks (Ray, Spark, or similar).
- Strong background in applied machine learning, including model training, hyperparameter tuning, and performance evaluation.
- Experience analyzing how data changes impact model performance, with the ability to design and run experiments to measure improvements.
- Proficiency in Python for data engineering and ML workflows, with experience working with large-scale data processing systems.
- Solid understanding of data quality principles and experience implementing monitoring, validation, and alerting systems.
- Strong problem-solving skills with the ability to address complex, ambiguous problems requiring coordination across multiple teams.
- Excellent communication skills, capable of explaining technical concepts to both technical and non-technical stakeholders.
- Demonstrated leadership experience, including mentoring team members and contributing to technical decision-making.
Preferred Qualifications
- Experience with MLflow or similar model tracking and versioning systems.
- Knowledge of foundation models, fine-tuning workflows, and transformer architectures.
- Experience with data pipeline orchestration tools (Dagster, Airflow, or similar).
- Background in financial services or fintech, understanding the unique data challenges in this domain.
- Experience working in a fast-paced, high-growth environment with distributed teams.
- Track record of reducing complexity in data systems and improving developer experience for ML teams.
Our Benefits
- Opportunity of earning equity at Nu
- Medical Insurance
- Dental and Vision Insurance
- Life Insurance and AD&D
- Extended maternity and paternity leaves
- Nucleo - Our learning platform of courses
- NuLanguage - Our language learning program
- NuCare - Our mental health and wellness assistance program
- Extended maternity and paternity leaves
- 401K
- Saving Plans - Health Saving Account and Flexible Spending Account
- Work-from-home Allowance
- Relocation Assistance Package, if applicable.
Work Model for this Role
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Locations: This role is available in any of our North American offices (Palo Alto, USA; Miami, USA; Durham, USA; Toronto, CAN)
Ready to apply?
Apply to Nubank