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操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

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Solution Engineer (U.S. Remote work eligible)

Qualcomm

リモート勤務

勤務地
Remote (United States)
報酬
USD 135800-203600 per annual
勤務時間
Full Time
掲載日
2026年10月13日

応募する前に、企業のウェブサイトで現在も募集中かどうかと詳しい条件を確認してください。

仕事内容

操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

Company: Qualcomm Technologies, Inc.Job Area: Engineering Group, Engineering Group > Software Applications EngineeringGeneral 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 Qualcommʼs 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 solution engineer 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 and current customers and partners 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. This position requires the ability to travel to clients and events 10-15% of the time. #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 call Qualcomm's toll-free number foundhere. 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 rangeand Other Compensation & Benefits: $135,800.00 - $203,600.00The 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 thislink. If you would like more information about this role, please contactQualcomm Careers. Originally posted on Himalayas

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次の仕事で活かしたい職種やスキルから検索を始めましょう。勤務地と職種の条件を調整し、求人を開いて担当業務を比較してください。結果がない場合は、短い検索語を試すか、条件を一つずつ外してみましょう。

必須条件と歓迎条件を分けて確認し、勤務時間、報酬、勤務地が掲載されている場合は目を通しましょう。リモート勤務でも、居住国、就労資格、勤務時間帯が指定されることがあります。現在の募集状況と詳しい条件は企業に確認してください。

募集要件に関連する実際の経験を選び、自分の役割と貢献を説明しましょう。数値は根拠がある場合にのみ使ってください。企業の応募方法に従い、送信前に連絡先、内容、PDFの表示を確認しましょう。

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仕事探しに関するよくある質問

英語の求人が表示されるのはなぜですか?

職種名や説明文は企業が作成したものです。条件や要件を変えないように原文を掲載しています。操作画面とこのガイドは日本語です。日本語の検索で見つからない場合は、「software engineer」のように、掲載言語の職種名やスキル名でも検索してみてください。検索語が自動翻訳されるわけではありません。

リモート求人なら、どの国からでも働けますか?

必ずしもそうではありません。居住国、就労資格、勤務時間帯が指定されている場合があります。元の求人ページで条件を確認してください。記載がない場合は、自分の居住地から応募できると判断する前に企業へ確認しましょう。リモートという表示だけでは、勤務地の制限がないことは分かりません。

検索結果が出ない場合はどうすればよいですか?

より一般的な職種名や一つのスキルで検索し、条件を一つずつ外してみてください。同じような仕事でも企業によって呼び方が異なります。特定の求人が見つからなくなった場合は、企業の採用ページで求人番号を探しましょう。検索条件を広げても、終了した募集が再開するわけではありません。

ResumizeAIから応募が送信されますか?

応募ボタンは外部サイトを開きます。企業または採用サービスの案内に従い、そのサイトで送信を完了してください。ResumizeAIで応募書類を作成しただけでは応募は送信されません。リンク先が企業のトップページの場合は、該当する募集を探してから手続きを進めましょう。

応募書類とカバーレターはどう調整すればよいですか?

募集要件と、自分が説明できるプロジェクト、業務、成果を結び付けます。経験していない技術や実績を加えず、関連する経験を分かりやすく示してください。カバーレターでは応募理由を具体例とともに伝えます。指定された言語とファイル形式に従い、送信前に両方の書類を確認しましょう。