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Remote Asic Design Engineer Jobs in Connecticut (NOW HIRING)

$139K - $168K/yr

For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity ... LI-SS2 LI-REMOTE

$139K - $168K/yr

For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity ... LI-SS2 LI-REMOTE

This position can potentially be remote based within the United States, or most European Countries ... Significant experience in the design and manufacture of Active Magnetic Bearing systems ...

This position can potentially be remote based within the United States, or most European Countries ... Significant experience in the design and manufacture of Active Magnetic Bearing systems ...

This position can potentially be remote based within the United States, or most European Countries ... Significant experience in the design and manufacture of Active Magnetic Bearing systems ...

VP/Director of Engineering (Remote)

Ridgefield, CT · On-site +1

$179K - $231K/yr

... design. You have the ambition and confidence to fully engineer, maintain, and scale special ... Reasons to Love ReserveBar Remote Work - We are proud to offer remote work options for employees ...

Staff Electrical Engineer

Danbury, CT · On-site +1

$130K - $160K/yr

Remote (U.S); On-site in Danbury, CT preferred. Overview We are seeking a hands-on Lead Electrical Engineer to own the electrical design, integration, and commissioning of complex power systems for ...

AI Engineer

Hartford, CT · On-site +1

$1/hr

This position is Remote : We are seeking an AI Applications Developer to support the ongoing ... design recommendations. · Write, debug, test, and maintain high-quality production code using ...

MECHANICAL ENGINEER

Groton, CT · On-site +1

$100K - $131K/yr

You will serve as the technical representative on the contractor's design/build teams for ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...

New

Showing results 21-40

Remote Asic Design Engineer information

What is a remote ASIC design engineer?

A Remote ASIC Design Engineer is a professional who designs Application-Specific Integrated Circuits (ASICs) while working remotely, often from home or another location outside of a traditional office. They are responsible for creating and verifying digital or analog circuit designs tailored to specific applications, such as telecommunications, automotive, or consumer electronics. These engineers use specialized hardware description languages (HDLs) like Verilog or VHDL and collaborate with teams using online tools for simulation, synthesis, and verification. Remote ASIC Design Engineers must have strong technical skills and the ability to communicate and coordinate effectively in a virtual work environment.

What are the key skills and qualifications needed to thrive as a remote ASIC design engineer?

To thrive as a Remote ASIC Design Engineer, you need a solid background in digital circuit design, Verilog or VHDL programming, and a degree in electrical or computer engineering. Familiarity with EDA tools like Synopsys, Cadence, or Mentor Graphics, as well as experience in simulation, synthesis, and verification processes, is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate virtually are standout soft skills for remote success. These competencies ensure efficient design cycles, high-quality deliverables, and seamless teamwork in distributed engineering environments.

What are some common challenges faced by remote ASIC design engineers, and how can they be effectively managed?

Remote ASIC Design Engineers often encounter challenges such as coordinating across multiple time zones, ensuring effective communication with hardware and verification teams, and maintaining access to high-performance computing resources. To overcome these hurdles, it’s essential to use collaborative project management tools, establish clear communication protocols, and schedule regular sync meetings. Additionally, many companies provide secure remote access to lab resources and simulation tools, helping engineers stay productive and connected with their teams.

What is the difference between Remote Asic Design Engineer vs Remote FPGA Design Engineer?

AspectRemote Asic Design EngineerRemote FPGA Design Engineer
Required CredentialsBachelor's/Master's in Electrical Engineering or Computer Engineering, FPGA/ASIC design experienceBachelor's/Master's in Electrical Engineering or Computer Engineering, FPGA/ASIC design experience
Work EnvironmentDesigning integrated circuits for manufacturing, often in semiconductor companiesDeveloping programmable logic designs, often in research or product development teams
Industry UsageSemiconductor, consumer electronics, automotiveTelecommunications, aerospace, embedded systems

Both roles require similar educational backgrounds and design experience, but the Remote Asic Design Engineer focuses on creating chips for mass production, while the Remote FPGA Design Engineer works on programmable logic devices. Their work environments and industry applications differ, aligning with their specific design goals.

What are the most commonly searched types of Asic Design Engineer jobs in Connecticut?

The most popular types of Asic Design Engineer jobs in Connecticut are:

What are popular job titles related to Remote Asic Design Engineer jobs in Connecticut?

For Remote Asic Design Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Remote Asic Design Engineer jobs in Connecticut look for?

The top searched job categories for Remote Asic Design Engineer jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Asic Design Engineer jobs?

Cities in Connecticut with the most Remote Asic Design Engineer job openings:

Machine Learning Engineer New Grad 2024-2025 -Remote

Quora

Remote

$139K - $168K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 6 days ago


Job description

About Quora:

Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:

  • Quora : a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe : a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Poe product.

About the Team and Role:

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:
  • Improve our existing Machine Learning systems using your expertise
  • Identify new opportunities to apply Machine Learning to different parts of the Poe product
  • Work with other engineers to implement algorithms and systems in an efficient way
  • Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale
Minimum Requirements:
  • Ability to be available for meetings and impromptu communication during Quora's “ coordination hours " (Mon-Fri: 9am-3pm Pacific Time)
  • A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
  • Strong understanding of mathematical foundations of Machine Learning algorithms
  • Experience of transformer models and LLM applications
  • Strong knowledge of Python or C++, or the ability to learn them quickly
  • A passion for learning and always improving yourself and the team around you
Preferred Requirements:
  • Previous software engineering experience via an internship, work experience, or coding competition
  • Previous industry experience working on natural language processing, language modeling, etc.
  • Passion for Quora's mission and goals

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link:

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice:

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