E-3 Visa Sales Solutions Engineer Jobs
Sales Solutions Engineer roles sit squarely within E-3 specialty occupation requirements, combining technical degree credentials with complex B2B sales expertise. Australian professionals can secure E-3 visa sponsorship without entering a lottery, and renewals are indefinite as long as you hold a qualifying offer from a U.S. employer.
Find E-3 Visa Sales Solutions Engineer JobsOverview
Showing 5 of 363+ Sales Solutions Engineer jobs
See all 363+ Sales Solutions Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Sales Solutions Engineer roles.
Get Access To All JobsCompany:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Software Applications Engineering
General Summary:
Are you ready to combine the fast-paced energy of an innovative startup with the resources and stability of a global tech leader? This opportunity blends both worlds into one. Edge Impulse has joined forces with the Industrial Embedded IoT division of Qualcomm, and we are growing our team because Edge AI is an important part of QualcommĘĽs diversification roadmap.
Edge Impulse streamlines the creation of AI and machine learning models for edge hardware, enabling devices to make decisions and generate insight where data is gathered. Powerful automations make it easier to build valuable datasets and develop advanced AI for edge devices from MCUs to CPUs to NPUs & GPUs. The ease of use and versatility that Edge Impulse provides supports customers launching AI-empowered devices globally to solve the planet's biggest problems with novel high-tech solutions. Used by industrial organizations, health and wearables companies, as well as top silicon vendors, Edge Impulse has become the trusted ML platform for enterprises and developers alike. We are growing!
This technical pre-sales engineering opportunity works with our North American customers to build and optimize their data management and machine learning strategy. Focus on device-aware machine learning, data onboarding, curation, tuning, and extensibility. Edge Impulse empowers enterprise development teams to rapidly research & develop industry-specific Edge AI solutions and launch successful AI-powered products.
Are you excited about Edge AI? Want to design data pipelines and embedded machine learning solutions for next-generation intelligent products & devices going to market? This is an opportunity to gain experience working across multiple industries, use cases, and technical domains. If this sounds like your next career move, then we want to talk with you.
Primary Responsibilities
- Guide and collaborate with prospective customers throughout North America as a trusted technical advisor to design and optimize their data management, machine learning workflow, and model deployment with Edge Impulse.
- Contribute to sales & marketing activities by participating in events, visiting prospects, and performing presentations, and demonstrations.
- Work with engineering and account management teams to envision machine learning solutions and solve technical challenges for intelligent devices in industries such as industrial automation, automotive, digital health, and more.
- Develop transformation, processing, training, and deployment code to create machine learning models from large datasets and deploy to resource-constrained devices.
This position is eligible to work remotely in the U.S.
EdgeImpulse
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience.
- 2+ years of experience with Programming Language such as C, C++, Java, Python, etc.
- 1+ year of experience with debugging techniques.
Preferred Qualifications:
- Track record of multi-disciplinary problem solving and working across domains, teams, and companies in the US & NA region to develop complex technical solutions.
- Experience developing embedded or cloud software (python, C/C, or equivalent) with exposure to Linux or RTOSs.
- Experience with data analysis & machine learning, including Python ML & data libraries (e.g. TensorFlow, Keras, PyTorch, NumPy, Pandas, or equivalent).
- Experience developing, launching, or maintaining technical products in relevant commercial industries (e.g. industrial, medical, automotive, IoT, or related markets).
- Track record of teaming, leading, and consulting to drive ambitious technical projects to success in lean distributed organizations.
- Fostering a growth mindset with a demonstrated history of learning, adapting, improving, and growing individually, as a team, and with your customers.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$130,400.00 - $195,600.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Software Applications Engineering
General Summary:
Are you ready to combine the fast-paced energy of an innovative startup with the resources and stability of a global tech leader? This opportunity blends both worlds into one. Edge Impulse has joined forces with the Industrial Embedded IoT division of Qualcomm, and we are growing our team because Edge AI is an important part of QualcommĘĽs diversification roadmap.
Edge Impulse streamlines the creation of AI and machine learning models for edge hardware, enabling devices to make decisions and generate insight where data is gathered. Powerful automations make it easier to build valuable datasets and develop advanced AI for edge devices from MCUs to CPUs to NPUs & GPUs. The ease of use and versatility that Edge Impulse provides supports customers launching AI-empowered devices globally to solve the planet's biggest problems with novel high-tech solutions. Used by industrial organizations, health and wearables companies, as well as top silicon vendors, Edge Impulse has become the trusted ML platform for enterprises and developers alike. We are growing!
This technical pre-sales engineering opportunity works with our North American customers to build and optimize their data management and machine learning strategy. Focus on device-aware machine learning, data onboarding, curation, tuning, and extensibility. Edge Impulse empowers enterprise development teams to rapidly research & develop industry-specific Edge AI solutions and launch successful AI-powered products.
Are you excited about Edge AI? Want to design data pipelines and embedded machine learning solutions for next-generation intelligent products & devices going to market? This is an opportunity to gain experience working across multiple industries, use cases, and technical domains. If this sounds like your next career move, then we want to talk with you.
Primary Responsibilities
- Guide and collaborate with prospective customers throughout North America as a trusted technical advisor to design and optimize their data management, machine learning workflow, and model deployment with Edge Impulse.
- Contribute to sales & marketing activities by participating in events, visiting prospects, and performing presentations, and demonstrations.
- Work with engineering and account management teams to envision machine learning solutions and solve technical challenges for intelligent devices in industries such as industrial automation, automotive, digital health, and more.
- Develop transformation, processing, training, and deployment code to create machine learning models from large datasets and deploy to resource-constrained devices.
This position is eligible to work remotely in the U.S.
EdgeImpulse
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience.
- 2+ years of experience with Programming Language such as C, C++, Java, Python, etc.
- 1+ year of experience with debugging techniques.
Preferred Qualifications:
- Track record of multi-disciplinary problem solving and working across domains, teams, and companies in the US & NA region to develop complex technical solutions.
- Experience developing embedded or cloud software (python, C/C, or equivalent) with exposure to Linux or RTOSs.
- Experience with data analysis & machine learning, including Python ML & data libraries (e.g. TensorFlow, Keras, PyTorch, NumPy, Pandas, or equivalent).
- Experience developing, launching, or maintaining technical products in relevant commercial industries (e.g. industrial, medical, automotive, IoT, or related markets).
- Track record of teaming, leading, and consulting to drive ambitious technical projects to success in lean distributed organizations.
- Fostering a growth mindset with a demonstrated history of learning, adapting, improving, and growing individually, as a team, and with your customers.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$130,400.00 - $195,600.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
See all 363+ E-3 Visa Sales Solutions Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Sales Solutions Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Sales Solutions Engineer
Frame your degree for specialty occupation
Consular officers assess whether your qualification directly supports the role. A degree in engineering, computer science, or a technical field strengthens your E-3 visa case far more than a general business degree when applying for Solutions Engineer positions.
Target employers with LCA filing history
Search DOL's public LCA disclosure data to identify companies that have already certified Labor Condition Applications for Solutions Engineer or pre-sales roles. Prior LCA filings signal a hiring team familiar with the E-3 process, which shortens your path to an offer.
Clarify your role scope before the LCA
The LCA job title and duties must match what you'll actually do. If your role blends pre-sales engineering with account management, work with your employer to define a title that reflects the technical core, since officer scrutiny increases when a title sounds purely sales-focused.
Use Migrate Mate to handle your filing end-to-end
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork. The service manages DOL certification, DS-160 preparation, and consulate appointment logistics so your employer doesn't need an immigration attorney on retainer.
Negotiate your start date around LCA certification
DOL targets seven business days for LCA certification, but workloads can push timelines out. Build at least three weeks of buffer between your signed offer and your proposed U.S. start date so your employer isn't under pressure if certification runs long.
Prepare a technical portfolio for your visa interview
Consular officers may probe whether your background genuinely supports a Solutions Engineer role. Bring documentation of past technical implementations, client solution designs, or product certifications alongside your degree transcripts to substantiate the specialty occupation claim.
E-3 Visa Sales Solutions Engineer: Frequently Asked Questions
How do I find Sales Solutions Engineer jobs that offer E-3 visa sponsorship?
Use Migrate Mate to search Sales Solutions Engineer roles filtered by E-3 sponsorship. Most general job boards don't surface visa sponsorship status accurately, so you end up screening dozens of roles manually. Migrate Mate's search is built specifically for Australian professionals on the E-3, so the roles listed are from employers who are open to sponsoring the visa.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Sales Solutions Engineer role qualify as a specialty occupation for the E-3?
Yes, in most cases. USCIS and consular officers treat Solutions Engineer roles as specialty occupations when the position requires applying engineering or technical knowledge to configure, demonstrate, and implement complex software or hardware solutions. The key is that your job description must reflect this technical scope, and your degree should be in a relevant field such as engineering, computer science, or information systems.
How does the E-3 visa compare to the H-1B for Solutions Engineer roles?
The E-3 is significantly more accessible for Australian professionals in this role. There's no lottery, no annual cap pressure, and your employer can initiate the process after an offer is signed without waiting for a registration window. The H-1B visa selection rate has been around 25% in recent years, meaning most applicants aren't chosen. With the E-3, if your role and credentials qualify, the path to a U.S. start date is straightforward and predictable.
Can I switch employers on the E-3 if I move from one Solutions Engineer role to another?
You can, but the E-3 isn't portable the way an H-1B can be after an approved I-140. Each new employer must file a fresh LCA with the DOL and your new E-3 visa stamp reflects that specific employer. If you're already in the U.S., you'll need to travel outside the country to attend a new consulate appointment before starting with the new employer, so plan your transition timeline accordingly.