Mid-Senior level At Cloudera, we empower people to transform complex data into clear and actionable ... computing workloads between public clouds and private cloud solutions in data centers. As a ...
Mid-Senior level At Cloudera, we empower people to transform complex data into clear and actionable ... computing workloads between public clouds and private cloud solutions in data centers. As a ...
... modular, mid-scale plant design will replace traditional designs as it allows for the same ... Maintain a high level of customer service while responding to technical support requests in a ...
... modular, mid-scale plant design will replace traditional designs as it allows for the same ... Maintain a high level of customer service while responding to technical support requests in a ...
Mid Level Neuromorphic Computing information
What are mid level neuromorphic computing professionals?
Mid level neuromorphic computing professionals are specialists with several years of experience who design, develop, and optimize hardware and software systems inspired by the structure and function of the human brain. They typically work on building and programming neuromorphic chips, developing algorithms that mimic neural processes, and integrating these systems into real-world applications such as robotics or edge computing. Their expertise bridges neuroscience, computer engineering, and artificial intelligence, and they often collaborate with interdisciplinary teams to advance brain-inspired computing technologies.
What are some common challenges faced by professionals in mid-level neuromorphic computing roles, and how can they be addressed?
Professionals in mid-level neuromorphic computing roles often encounter challenges such as integrating novel hardware with existing software systems, managing the complexity of neural-inspired algorithms, and keeping pace with rapid advancements in the field. Collaborating closely with multidisciplinary teams—including hardware engineers, data scientists, and neuroscientists—can help address these challenges. Additionally, staying updated on the latest research and industry trends, as well as participating in collaborative projects, can enhance problem-solving skills and foster innovation in this evolving area.
What is the difference between Mid Level Neuromorphic Computing vs Mid Level Machine Learning Engineer?
| Aspect | Mid Level Neuromorphic Computing | Mid Level Machine Learning Engineer |
|---|---|---|
| Required Credentials | Bachelor's in Computer Science, Electrical Engineering, or related field; knowledge of neuromorphic hardware | Bachelor's in Computer Science, Data Science, or related; experience with ML frameworks |
| Work Environment | Research labs, hardware development, AI hardware companies | Tech companies, startups, data-driven organizations |
| Industry Usage | AI hardware, neuromorphic chip design, cognitive computing | Software development, AI applications, data analysis |
Mid Level Neuromorphic Computing professionals focus on hardware and cognitive architectures inspired by the brain, often working with specialized hardware and research teams. In contrast, Mid Level Machine Learning Engineers develop algorithms and models primarily in software to solve data-driven problems. Both roles require a strong technical background but differ in their focus on hardware versus software applications.
What are the key skills and qualifications needed to thrive as a Mid Level Neuromorphic Computing Engineer, and why are they important?
To thrive as a Mid Level Neuromorphic Computing Engineer, you need a solid background in computer engineering, neuroscience, and machine learning, usually supported by a relevant degree and experience with neural network architectures. Familiarity with tools like Python, MATLAB, TensorFlow, and simulation platforms such as NEST or SpiNNaker, along with knowledge of specialized hardware, is typically required. Strong problem-solving, collaboration, and communication skills help you innovate and effectively share complex ideas with multidisciplinary teams. These skills and qualifications are crucial for developing advanced neuromorphic systems that bridge neuroscience and AI, pushing the boundaries of efficient computing.
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Job description
Business Area:
Sales EngineeringSeniority Level:
Mid-Senior levelJob Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.
As the world generates even more volumes of data, from any device or thing, companies are discovering the need to gain immediate insights from their data by studying recurring trends and patterns over time, and staying competitive by implementing predictive actions for their business that will yield positive outcomes.
Cloudera's CDP Platform enables customers to harness those volumes of increasingly valuable data by securely hosting data lakes and efficiently managing data analytics & computing workloads between public clouds and private cloud solutions in data centers.
As a Cloudera Solutions Engineer, you will drive the technical pre-sales motion in close partnership with Account Executives to win deals and build lasting customer relationships. Working alongside sales teams, you will partner directly with prospective customers to run deep discovery and unpack their business drivers, pain points, and technical goals. You will leverage your solution design skills to demonstrate how the CDP platform solves their challenges, delivering tailored solution designs, impactful demos, and proof-of-concepts that showcase the measurable value of Cloudera's solutions.
As the Solutions Engineer you will:
Serve as a trusted technical advisor throughout the pre-sales lifecycle, leading technical discovery, custom solution design, and interactive demos to translate customer pain points into high-value business outcomes.
Create and deliver customer-centric solution designs, proposed architectures and business outcomes to all levels - developers, architects, CTO, and CIO
Advise customers on use case patterns through discovery and requirements workshops
Work with teammates and management to define technical selling strategy
Work with cross-functional teams including Sales, Marketing, Product Management, Services, Support, Training, and Engineering to share Cloudera's Vision with customers
Transform customer feedback into actionable product roadmap items
Champion and drive adoption of key open-source data ecosystems, including Spark, Iceberg, Open Data Lakehouse architectures, AI, and streaming platforms (NiFi, Kafka, Flink).
Participate within the Cloudera community, share evangelism activities (blogs, meetups, industry events), and contribute to internal and external knowledge repositories
We're excited about you if you have: (Minimum Qualifications):
5+ years of professional work experience in a pre-sales customer facing role (Solutions Engineer, Sales Engineer, technical consultant, Solutions Architecture or similar position) acting as a co-seller selling solutions to business leaders and technical champions in the enterprise.
Demonstrated experience conducting technical discovery, whiteboarding proposed solutions, running demos, and building technical proof of concepts to drive clear business outcomes.
You have experience with public cloud infrastructures (AWS, Azure, GCP, IBM Cloud, etc.) You have an interest in achieving your public cloud certification.
You have experience with the Apache Hadoop ecosystem (HDFS, YARN) and related components (Spark, Hive, Impala, Kudu, Solr, etc.) and can talk to the benefits of a centralized architecture for both data management and data access
You have some experience of the formation of Data Lakes, principles of Data Warehousing, SQL and relational database patterns, and application integration
You may have experience with Data Flow, Queues and Stream Processing (Nifi, Kafka, Flink, Spark) in enterprise applications
You have some basic software development experience in Java, Scala or Python
You have some knowledge of differentiators across the competitive landscape
You have an interest in Data Science and understand the difference between Data Engineering and Applied Science
You have demonstrated problem solving and analytical skills.
You care about your colleagues, and you will get the job done together. You are passionate about what you do and inspire people around you
Bachelor's Degree or equivalent experience in a Technical Field
You may also have: (Preferred Qualifications):
You have experience with the Linux OS and bare metal, VM, and distributed container platforms Kubernetes or OpenShift. You may have some experience with specific private cloud infrastructures (Server Hardware, Storage, Networking).
You understand the challenges in operations and integration of enterprise platforms for Security and Data Governance in the enterprise
Enterprise Data Warehouse (EDW) experience - Teradata, Netezza, GreenPlum, Exadata.
NoSQL or Operational-DB experience (HBase, Phoenix, Accumlo, Druid, Cassandra, MongoDB, etc.) Maybe you can even debate one option over another?
Integration Products experience (Talend, DataStage, Informatica BDM, Qlik, Tableau, Zoomdata, Tibco, MuleSoft, IBM, Oracle, Spring Integration, etc.)
Data Science and ML experience - (R, Python, Anaconda, Jupyter, Deep Learning Frameworks etc.)
Experience with, and interest in, open-source software and development practices
The right person in this role has an opportunity to make a huge impact at Cloudera and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you apply! An adventure in data awaits.
This role is not eligible for immigration sponsorship.
The anticipated annual base salary range for this position is:
Massachusetts: $150,000 - $180,000
New York: $150,000 - $180,000
Connecticut: $150,000 - $180,000
Individual compensation within the published range is determined by the candidate's skills, experience, qualifications, and primary work location. In addition to base pay, sales roles are eligible for Cloudera's commission plan, while non-sales roles are eligible for the corporate incentive plan. All employees receive a comprehensive benefits package
What you can expect from us:
Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Employee Resource Groups
EEO/VEVRAA
#LI-Remote
#LI-MH2
About Cloudera
Sourced by ZipRecruiter
Industry
Software development
Company size
1,001 - 5,000 Employees
Headquarters location
Santa Clara, CA, US
Year founded
2008