Trabajos cortex en New York, New YorkCrear alertas

Entelligence is seeking an Engineer to support our Palo Alto’s clients. The successful candidate must be able to work in a cross-functional environment and interact with representatives from Entelligence, Palo Alto Networks, and the end-user. As an Engineer for Cortex XSIAM, you will be responsible for assisting with the log migration and detection strategy of our customers. You will work closely with the technical lead to ensure that all of the relevant log sources are onboarded and ingested into XSIAM in accordance with industry best practices and customer requirements. You will then work to determine a suitable detection strategy, helping to protect customers from threats, by designing and implementing correlation rules. RESPONSIBILITIES: • Work with technical lead to develop log ingestion strategy, • Contribute to detection strategy based on industry best practices, • Detail step by step process to ingest high quality log sources, • Perform log source monitoring and optimization, • Create high quality correlation rules, • Tune log sources and correlation rules, • Be an SME for SIEM, Correlation and Log Source Ingestion, • Recognize opportunities where automation can improve analyst alert handling, • Collaborate with internal and external teams to ensure product adoption, • Create technical documentation detailing SIEM aspects of the engagement, • Travel to customer meetings and workshops as needed (10%) JOB REQUIREMENTS: • Strong communication (written and verbal) and presentation skills, both internally and externally, • Fluent English is a requirement - Any other language is a plus, • 3+ years of deploying and integrating (SIEM) to enterprise to large enterprise-level, • Coordinating and conducting event collection, log management, event management, compliance automation, and identity monitoring activities using (SIEM) platforms, • The ability to create and develop correlation and detection rules, within a (SIEM) to support alerting capabilities, • Experience working with and deploying a variety of SIEM technologies (i.e Splunk, IBM QRadar), • A proven ability to offer suggestions on detection strategy based on customer requirements, • Ability to understand logs, locating and understanding 3rd party documentation where needed, • Familiarity with reports on the status of the SIEM to include metrics on items such as number of logging sources - log collection rate, and other performance metrics, • Knowledge of Security Analysis & Response a plus, including both endpoint, network & cloud based environments • 3 years experience with Security Operation Centers tooling and processes, • Relevant bachelor's degree or industry recognized qualifications (CISSP, GIAC, SIEM Vendor Qualification etc)• Ability to read and understand technical design documentation • Ability to create technical design documentation BENEFITS • Competitive base salary, • Medical, dental, vision and life insurance, • Vacation, sick time and paid holidays, • Matching 401(k) program ENTELLIGENCE. ALWAYS READY. Since 1997, Entelligence has provided mission critical project delivery capacity for uninterrupted growth and long-term market leadership to the industry’s biggest enterprise IT brands. Our commitment to close working partnerships and a proven approach for sustainable success is why Entelligence is Always Ready to help the world’s technology leaders quickly deliver their most advanced IT solutions to their most important customers.

Title: Hourly Research Analyst - Rotstein Lab Department: Biological Sciences Reports To: Professor Biological Sciences Position Type: Staff Position Summary: The primary interest of Dr. Rotstein's group is the understanding of the mechanisms of generation of neuronal rhythmic oscillations in various areas of the brain (e.g., hippocampus, entorhinal cortex, prefrontal cortex, striatum, olfactory bulb) and how this results from the cooperative activity of the dynamic and biophysical properties of the participating neurons, the synaptic connectivity and the network topology. A primary focus of this research is the effects of single cell and network resonances (emergent properties resulting from the interaction between neurons/networks and oscillatory inputs) on the generation of network oscillations. They use and develop mathematical models, dynamical systems tools and numerical simulations. Essential Functions: • Develop, implement and analyze bayesian / simulation-based inference algorithms and neural networks algorithms to estimate parameters in mixed-mode bursting-spiking neuronal patterns and monosynaptic connectivity in neuronal networks. Prerequisite Qualifications: • Knowledge of machine learning and computational neuroscience., • At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Salary Information: In compliance with the NJ Pay Transparency Law, the hourly rate/range for this position is $20.00(USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. FLSA: Non-Exempt Part-Time Apply NowShare Save Job

About the Role The Forward Deployed Context Engineering Lead (Director) is responsible for designing, deploying, and governing end-to-end context and retrieval architectures that power generative AI and agentic AI solutions for strategic financial services clients. Embedded at client sites using a embedded forward deployment model, this leader translates business imperatives into production-grade AI deployments, context pipelines, tool orchestration frameworks, and evaluation systems that ensure AI workflows are compliant, reliable, and measurable against regulatory and business standards. In highly regulated financial services environments, this role bridges AI innovation with governance frameworks including BCBS 239 (risk data aggregation), NIST AI RMF, ISO 42001, and emerging AI regulations. The holder serves as both a trusted technical advisor and strategic business partner, shaping how AI augments operations. In this role, you will: Strategic Partnership & Client Leadership * Partner with CFO, CIO, COO, Chief Risk Officer, and Chief Compliance Officer to define multi-year AI transformation roadmaps, with emphasis on use case prioritization, governance alignment, and risk-adjusted ROI. * Work "forward deployed" at client sites, embedding within business units and technology teams to own end-to-end solution delivery from discovery through production and value realization. * Lead discovery workshops to uncover high-value AI opportunities, frame problem statements, and shape outcome-driven implementations in core business processes (credit decisioning, market risk, AML/CFT, wealth advisory). End-to-End Context Architecture * Own the complete context fabric that feeds LLMs and agents: data products, RAG pipelines, vector databases, knowledge graphs, semantic layers, tool schemas, memory stores, and orchestration patterns. * Design and oversee implementation of enterprise-scale retrieval systems that integrate multiple data sources (core banking, risk repositories, regulatory data, market data, customer data warehouses) with sub-second latency and high recall. * Architect tool landscapes for agents, defining function schemas, validation rules, pre/post-execution guardrails, and escalation patterns so agents safely interact with core systems (core banking APIs, trading platforms, CRM, regulatory reporting engines). * Establish context quality and freshness standards aligned to use case sensitivity: real-time for trading contexts, hourly for compliance contexts, daily for advisory contexts. AI & Data Governance & BCBS 239 Alignment * Embed data lineage, quality controls, and metadata management into context pipelines to satisfy BCBS 239 principles (completeness, accuracy, timeliness, clarity, granularity) and emerging AI data governance expectations. * Work with Chief Data Officer and data governance teams to ensure context data products meet regulatory lineage requirements, audit trails, and change management protocols. * Design data product contracts that codify context completeness, freshness, and accuracy SLAs and make them machine-readable for automated quality gates. AI Evaluation & Safety Strategy * Define and operationalize comprehensive evaluation strategy covering accuracy, consistency, hallucination detection, bias, fairness, latency, cost, and regulatory compliance by use case. * Establish baseline and continuous metrics for both offline benchmarking (held-out test sets, red teaming) and online monitoring (production feedback, human review, alert escalations). * Partner with Evaluation Engineering and Risk teams to implement automated quality gates in CI/CD pipelines, blocking unsafe or regressing models/prompts/context changes from deployment. * Lead design and execution of red team exercises for high-risk use cases (credit decisioning, investment advice, transaction monitoring), including jailbreak detection, prompt injection, data leakage, and discriminatory output testing. Responsible AI & Governance Integration * Translate NIST AI RMF, ISO 42001, EU AI Act, and internal governance policies into architecture requirements: explainability, auditability, bias monitoring, human oversight, incident response. * Collaborate with Chief Risk Officer, compliance, legal, and audit to define AI governance controls: model risk management, data governance, algorithm risk registers, impact assessments, and escalation workflows. * Establish observability and monitoring frameworks that track AI system health (quality metrics, safety indicators, regulatory drift) and provide dashboards and alerts for business and risk stakeholders. Cloud & Platform Strategy * Own technical platform strategy for AI solutions, including cloud selection (AWS, Azure, GCP), data platform selection (Snowflake, Databricks, Palantir Foundry, Microsoft Fabric), and integration architecture. * Architect secure, scalable, multi-tenant AI infrastructure that meets financial services standards for security, auditability, disaster recovery, and regulatory reporting. * Design and implement MLOps, LLMOps, and model governance workflows to ensure reproducibility, auditability, and rapid, safe iteration on AI solutions in production. Business Development & Executive Engagement * Support go-to-market strategy for AI transformation engagements: solutioning, proposals, statement of work (SOW) development, and executive presentations to C-suite. * Build thought leadership content (whitepapers, case studies, reference architectures) on context engineering, AI governance, and financial services AI transformation. * Mentor and grow a practice or delivery team of context engineers, evaluation engineers, platform engineers, and solution architects to scale repeatable AI capability. Work Model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Dallas, Minneapolis, or Chicago. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered * 15+ years of experience across software engineering, data engineering, data science, or AI/analytics, with at least 5-7 years leading AI/ML transformation initiatives. * Proven track record leading large-scale AI or digital transformation programs at consulting firms (Deloitte, PwC, Accenture, Cognizant) or equivalent director/senior manager roles in financial services technology. * Demonstrated expertise working in a forward-deployed or embedded model, owning end-to-end solution delivery from architecture through production launch and ongoing optimization. * Hands-on technical expertise in modern AI stacks: LLMs, RAG, vector databases, cloud platforms, and ML engineering practices. * Prior experience in financial services (investment banking, capital markets, wealth management, payments, insurance) or other regulated domains (healthcare, government). * Strong communication skills: ability to translate technical AI concepts for C-suite audiences and facilitate workshops with business and risk stakeholders. These will help you stand out LLM & Agentic Systems * Deep, hands-on understanding of LLM architecture, capabilities, limitations, and fine-tuning approaches; experience with GPT-4, Claude, LLaMA, and domain-specialized models. * Advanced expertise in multi-agent orchestration patterns: hierarchical agents, collaborative agents, tool-using agents, memory strategies, and long-horizon planning for financial workflows. * Proficiency with prompt engineering, in-context learning, chain-of-thought, and few-shot prompting for complex financial reasoning tasks (credit analysis, risk assessment, advisor-style interactions). Context & Retrieval Architecture * Production experience designing and implementing retrieval-augmented generation (RAG) systems, including chunking strategies, embedding models, vector databases (Pinecone, Weaviate, Milvus), and hybrid search (semantic + lexical). * Data engineering expertise: ETL/ELT pipelines, streaming architectures (Apache Kafka, Spark Structured Streaming), data quality frameworks, and metadata management catalogs. * Knowledge graph and semantic layer experience: designing ontologies, entity resolution, relationship extraction, and knowledge graph querying for financial contexts (counterparties, instruments, risk factors, regulatory entities). * Experience with feature stores and data products as foundational context infrastructure; ability to define and operationalize data product contracts. AI Governance, Safety & Evaluation * Familiarity with AI safety and evaluation techniques: benchmark design, task-specific metrics, human-in-the-loop review, red teaming, jailbreak testing, and bias/fairness audits. * Working knowledge of NIST AI Risk Management Framework, ISO 42001, BCBS 239 data governance principles, and emerging financial AI regulations (EU AI Act, Treasury AI guidance). * Experience with model risk management (MRM) frameworks, model cards, impact assessments, and governance workflows for high-risk AI systems in regulated environments. Cloud & Data Platforms * Production architecture and deployment experience on major clouds (AWS-Bedrock, SageMaker, EC2; Azure-Copilot, OpenAI Service, App Service; GCP-Vertex AI). * Proficiency with enterprise data platforms: Snowflake (architecture, Cortex AI), Databricks (LLMs, fine-tuning), Palantir Foundry (ontologies, apps), Microsoft Fabric (data engineering, AI services). * Security, compliance, and observability: encryption at rest/in transit, IAM, audit logging, HIPAA/SOX/GDPR compliance controls, and monitoring/alerting. Software Engineering & AIOps / MLOps * Strong Python and at least one of TypeScript, Java, or Scala; experience building production ML/AI systems, not just prototypes. * Hands-on MLOps, LLMOps, and CI/CD: infrastructure-as-code (Terraform, CloudFormation), containerization (Docker, Kubernetes), experimentation platforms, and model deployment pipelines. * API design and integration: designing REST/GraphQL APIs, integrating AI systems into microservices architectures, event-driven systems, and enterprise applications (core banking, trading systems). We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. Work Authorization: Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship (H-1B, L-1B, L-1A, etc.) Salary and Other Compensation: The annual salary for this position is between $137,250 - $250,500 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: * Medical/Dental/Vision/Life Insurance * Paid holidays plus Paid Time Off. * 401(k) plan and contributions. * Long-term/Short-term Disability. * Paid Parental Leave. * Employee Stock Purchase Plan Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Take full ownership of leading strategic sales campaigns, sales forecasting, utilizing in-depth knowledge of sales cycles from initial contact through procurement. We are seeking a dynamic and experienced Sales Specialist to drive the growth of our Cortex and Cloud business across the region. Partne

Palo Alto Networks is an equal opportunity employer. At Palo Alto Networks, we're united by a shared missionto protect our digital way of life. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.

Position: Cortex Snowflake Consultant. Deep understanding of Snowflake's architecture, features, and capabilities.

At Palo Alto Networks®, we're united by a shared mission-to protect our digital way of life.We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking.Here, everyone has a voice, and every idea counts.If you're ready to do the

Job DescriptionAHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. The AHEAD Security Specialty Solutions Engineer (SSE) will be focused on security technologies and solutions. The SSE is considered a subject matter expert in this area, with responsibility for selling and designing complex security solutions. The SSE is also considered an organizational thought leader for security within the company. You will work in partnership with sales representatives, practice leaders, and other SSE team members to build a market strategy and assist with account planning for existing and prospective clients. As part of this strategy, you will help sales representatives identify potential security technologies and vendors to partner with for individual clients or in a given region. You will assist with driving this strategy throughout a given campaign. In partnership with other senior and principal SSEs in your practice, you will assist with diagrams, bill of materials, proposal content, and other documentation associated with active security sales campaigns. You will also assist with achieving the proper training and certifications necessary to sell the security solutions we are positioning. Time management and prioritization are essential attributes to be successful. In this capacity, you will work to define security strategies, compare and contrast alternative approaches, and build key relationships, as well as size and configure security products. Positioning and leveraging subject matter experts and other AHEAD consultants is a necessity to scale your effectiveness within accounts. Roles and Responsibilities • Active participation in the AHEAD Security team and related virtual teams., • Be a thought leader within the Solutions Engineering organization, responsible for designing, architecting, and, at times, consulting for AHEAD clients in the security domain., • Build skills, relationships, and industry credibility across many segments to drive product, services, and consulting sales in the security space., • Support the sales teams during engagements by providing advice, solutions, or proposals optimized to meet customer technical and business requirements., • Develop relationships with other Security SSE team members, leaders, and partners in support of sales objectives., • Strategize and execute technical sales calls., • Complete required pre-sales documentation (configurations, pricing, services, presentations, justifications, etc.) quickly and accurately., • Qualify sales opportunities in terms of customer technical requirements, decision-making process, and funding., • Present and market the design and value of proposed AHEAD security solutions and business justifications to customers, prospects, and AHEAD management., • Participate in the mentorship of entry-level team members., • Possess strong, detailed product/technology/industry knowledge in the security domain., • Knowledge of job-associated software and applications. Qualifications, • Experience with any SASE vendor is a significant differentiator, • 3 – 5 years technical experience with security controls in one or more areas such as: Firewalls, IDS/IPS, NTA, NDR, NGAV, EDR, SIEM, Vulnerability Scanning, DLP, Penetration Testing, • Experience in architecture design that brings together and integrates solutions across multiple vendors, • 3 - 5 years acting as a consultant for clients, advising on technical solutions and participating in pre-sales and solution development., • Familiarwith Public Cloud providers: AWS, Azure, GCP, • Ability to grasp new technology concepts quickly and assist others in understanding them as well., • Ability to evaluate new technologies and provide internal training, • Ability to understand customer needs, define requirements, and design solutions, • Ability to develop and present architectural recommendations and implementation/ assessment services, • Expertise with Vendor Configuration Tools Preferred Skills, • Excellent written and verbal communication skills, • Excellent presentation skills, • Strong Technical Aptitude, • Provide technical leadership assuring quality, maximizing team output, • Self-motivated Preferred Certifications, • Industry: CISSP, CISA

Job DescriptionEmbedded Firmware Engineer Position Overview: We are seeking an experienced Embedded Firmware Engineer to develop and maintain firmware for advanced embedded systems built around Xilinx Zynq UltraScale+ SoCs. This role requires deep expertise in low-level driver development, board support packages, and Linux-based embedded systems. Key Responsibilities: -Develop and maintain embedded firmware and device drivers for Zynq UltraScale+ ARM-based platforms, including bootloaders, BSPs, and kernel modules. -Design and implement drivers for high-speed communication interfaces including SPI, I2C, PCIe, Ethernet, USB, and DisplayPort. -Create firmware to interface with custom imager sensors, including data acquisition, processing pipelines, and real-time performance optimization. -Develop ADC interface drivers and implement signal processing algorithms for analog data acquisition. -Build comprehensive diagnostic software and test frameworks for hardware validation and manufacturing support. -Port and customize Linux distributions for embedded ARM processors, including device tree modifications and kernel configuration. -Develop GUI applications for system configuration, monitoring, and user interaction. -Collaborate with hardware engineering teams during board bring-up and debug hardware/firmware integration issues. Required Qualifications: -Minimum 10 years of embedded firmware development experience. -Strong proficiency in C/C++ for embedded systems. -Extensive experience with ARM Cortex-A processors and Xilinx Zynq or UltraScale+ platforms. -Deep understanding of Linux kernel development, device drivers, and BSP customization. -Proven track record developing drivers for communication protocols: SPI, I2C, PCIe, USB, Ethernet, DisplayPort. -Experience with image sensor integration and real-time data processing. -Knowledge of ADC interfacing and analog signal processing. -Familiarity with embedded GUI frameworks and display technologies. -Strong debugging skills using JTAG, logic analyzers, oscilloscopes, and protocol analyzers. -Experience with version control systems (GIT) and collaborative development workflows. Preferred Qualifications: -Knowledge of FPGA fabric integration with ARM processing systems. -Familiarity with real-time operating systems (RTOS). -Understanding of camera interfaces (MIPI CSI-2, parallel interfaces). -Experience with bootloader development (U-Boot, FSBL). -Background in automated testing and continuous integration for embedded systems. Education:-Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Voyant Photonics Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting edge research in silicon photonics. The Opportunity We are seeking a Senior Engineer with a strong background in Embedded Systems to join our engineering team. In this critical role, you will be instrumental in designing, developing, and optimizing the embedded software interfaces that power our advanced FMCW LiDAR. You will work across the entire product lifecycle, from architecture to implementation, testing, and deployment. If you are passionate about building robust, real-time embedded systems for groundbreaking LiDAR technology and thrive in a collaborative, fast-paced environment, we encourage you to apply. Key Responsibilities * Design, develop, and optimize embedded software and firmware for real-time operation of LiDAR systems * Collaborate closely with hardware engineers, optical engineers, and signal processing experts to define system requirements, integrate hardware and software components seamlessly, and ensure optimal system performance * Develop and implement APIs for both prototypes and products for embedded imaging sensors * Implement 3D data visualization for lidar data from our sensors * Optimize embedded code for performance, memory usage, and power consumption * Contribute to system-level architecture discussions, identifying key trade-offs and proposing innovative solutions. * Design and implement efficient monitoring and control algorithms Required Qualifications * Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field. * Strong proficiency in C/C++ for embedded systems development. * Experience with performant data serialization protocols * Experience with live visualization of complex data sets * Proficiency with version control systems (e.g., Git). Preferred Qualifications * Experience with protocols for inter-component communication (e.g., Ethernet, SPI, UART) * Familiarity with various microcontroller architectures (e.g., ARM Cortex-M/R/A, DSPs) and System-on-Chips (SoCs). * Experience with FPGA/CPLD development (VHDL/Verilog) and hardware description languages is a strong plus. * Experience implementing DSP algorithms in embedded C++ Linux environments * Experience with PCL or ROS2 * Experience with Python for scripting, testing, and data analysis. * Knowledge of sensor fusion techniques. Benefits package * Competitive salary and meaningful equity package * Comprehensive health benefits (Medical, Dental, Vision) * Unlimited PTO and paid company holidays * Team events and company meetups * Hybrid or remote work environment with monthly travel for remote employees. * Complimentary lunch provided daily at our NYC office Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job Description Position Summary: The Senior Firmware Engineer leads the design and development of embedded firmware for next-generation connected devices. The ideal candidate has deep experience in wireless networking protocols, embedded systems, secure bootloaders, OTA firmware updates, and custom network stack development. This role requires strong hands-on expertise across the full product lifecycle developing smart connected products for the commercial and residential markets. Key Responsibilities: • Architect, design, and implement embedded firmware in C/C++ for ARM Cortex (M0/M3/M4/M33), STM32, Nordic nRF, ESP32, and similar microcontrollers., • Develop and maintain custom wireless network stacks operating over Bluetooth, Thread, LoRa, sub-GHz radios., • Implement and optimize communication protocols including DMX512/RDM, DALI/D4i, RS485, UART, SPI, I2C, USB, Ethernet, and proprietary protocols., • Design and implement secure bootloaders, OTA firmware upgrade mechanisms, encryption, and key management systems., • Execute the roadmap for the architectural design of firmware for the Smart modules and gateways, ensuring scalability and modularity across multiple hardware variants., • Architect and implement robust communication stacks for wireless and wired protocols, including Bluetooth Mesh, Wi-Fi, DMX512/RDM, RS-485, and DALI/D4i, ensuring interoperability within the smart lighting ecosystem., • MS in Electrical/Computer Engineering, Computer Science or equivalent industry experience., • 10+ years of experience in Embedded Firmware engineering., • Strong proficiency in C/C++ for embedded systems for resource-constrained embedded systems., • Extensive experience developing embedded Linux systems, including bootloaders, kernel drivers, and user space applications., • Strong experience with 32-bit ARM microcontrollers and in-circuit debugging techniques., • Deep applied knowledge of various networking and hardware communication protocols such as SPI, UART, I2C, JTAG, SWD, BLE/Mesh, DMX, DALI, Wi-Fi., • Proven hardware bring-up, prototyping, and debugging experience using oscilloscopes, logic analyzers, protocol analyzers, and other lab instrumentation., • Experience with modern software configuration and issue management tools (Git, Jira, etc.)., • Practical experience with Design for X (DFx), including design for cost, manufacturability, and testability., • Willingness and ability to travel domestically and internationally as required based on business need. WAC is an equal opportunity employer and provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, gender, gender identity, sexual orientation, national origin, age, disability, genetics, or any other protected characteristic. In addition to federal law requirements, WAC complies with applicable state and local laws governing non-discrimination in employment in all of its locations. This policy applies to all terms and conditions of employment, including, but not limited to, recruiting, hiring, placement, promotion, termination, recall, transfer, leaves of absence, compensation, and training. Please note, all responsibilities outlined in the above job description are subject to change as needed. All efforts will be made to ensure proper notice is given for changes in responsibilities.

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