Summary

QuEra is seeking a Quantum Scientist to join the Quantum Computing Services team in Japan (junior and senior roles available). The team’s mission is to develop QuEra’s machines into cutting-edge quantum computing products and services; the work in Japan is currently focused on QuEra’s Gemini-class digital quantum computer at the AIST facility in Tsukuba.

In this role, you will be responsible for: 

• Development of the Gemini-class machine at AIST into an operational platform offering cutting-edge quantum computing and quantum error correction capabilities, with a focus on performance, stability and programmability.
• Overall day-to-day operations of the system, to be optimized for performance reliability, uptime and running costs. 
• Continuous development and integration of advanced features across the hardware and software stacks, as defined by customer needs, market opportunities, and QuEra’s technology roadmap. 
• Working with customers on co-design projects to run algorithms and applications at the cutting edge of the quantum computer’s capabilities. 

All of these responsibilities will be executed in collaboration with the teams in the US headquarters and with scientists and engineers on the ground in Japan. During the onboarding process, the person is expected to spend time at the QuEra headquarters (Boston, United States) to learn and to establish relationships across the company.

Responsibilities

• System development: you will be responsible for the integration and testing of capabilities and features across the hardware and software stacks, ranging from hardware modules and atomic schemes to software pipelines and operational workflows. In particular, in the initial development of the machine towards a service launch, the person is expected to collaborate with the rest of QuEra team to set up the machine in AIST and make it robust as .  
• Operations: you will be part of the operations team running the machine and optimizing the operations for performance reliability, uptime and running costs, as well as troubleshooting the machine in cases of outages and performance degradations. As part of this work, you will drive calibration design, telemetry and automation. 
• Customer success management: you will interact with QuEra’s customers – a mix of the owner of the production machine (AIST), end users and quantum software/service providers – to help them understand their needs, and translate those needs into goals and priorities for system development and operations. 
• Scientific and application development support: you will collaborate with select customers to enable high-impact projects to succeed by using QuEra’s quantum computer. Sometimes, this means running the machine in special configurations, or developing features in the stack to support the projects. This work will often involve a close interaction with QuEra’s Algorithms and Applications team. 

Qualifications  

• (senior positions) or Masters degree (junior positions) in experimental AMO physics or related field, with hands-on experience in building or operating a neutral atom or a trapped ion system, or other forms of quantum devices or quantum computing platforms. 
• Success in experimental research, as evidenced by peer-reviewed publications and/or scientific talks and other contributions.  
• Strong communication skills and strong interest in working with a variety of customers and end users to understand their needs and translate them into technical requirements and roadmaps.  
• Software skills, including programming languages and a basic understanding of software architectures. 
• Experience in mentoring or training scientists or engineers. 

#LI-DA1

職位: 量子科学者、量子計算サービスQuantum Computing Services
雇用形態: 正規雇用
勤務地: つくば、東京、日本
直属の上司: 量子計算サービスの副社長Vice President of Quantum Computing Services

概要

QuEra社は日本の量子計算サービスチームに所属する量子技術研究者を募集しています。一般職クラスと主任クラスのポジションがあり、経験に応じて配属されます。このチームの目標はQuEra社の最先端の量子計算技術を実用的な製品やサービスとして開発・提供することです。現在、当チームの日本での職務は、つくばの産業技術総合研究所（産総研）に設置されたQuEra社のGeminiクラスデジタル量子計算機に関わることが中心となっています。

この役職の職務は以下のとおりです。

• 産総研に設置されたGeminiクラスの計算機を、特に性能、安定性、プログラム可能性に重点を置いて最先端の量子計算と量子誤り訂正の機能を持った運用可能なプラットフォームとして開発。
• 信頼性、利用可能時間、運用コストを最適化する形での計算機の日々の運用。
• 顧客の要望、市場の要請、QuEra社の技術のロードマップにのっとった継続的な開発ならびにハードウェアとソフトウェアに跨った先進的な機能の統合。
• 量子計算機の性能を最大限に活かしてアルゴリズムやアプリケーションを実行するための顧客との共同研究。

これらのすべての業務は米国本社のチームと日本の量子技術研究者ならびにエンジニアとの協力して進めていただきます。入社後の研修期間中には、米国ボストンのQuEra本社での一定期間の滞在を通じて社内全体との関係を構築し、業務内容を学んでいただきます。

職務内容

• システム構築：ハードウェアからソフトウェアに跨った機能と特徴のテストと統合を担当していただきます。これはハードウェアモジュールや原子の配列スキームからソフトウェアのパイプラインや運用ワークフローまでを含みます。特に、サービス開始に向けた初期の計算機の構築においてはQuEra社のチーム全体との共同作業を通じて産総研の計算機を調整・改良し、一般向けサービスの提供が可能なゲート型量子計算機として機能するようにすることが求められます。
• 運用：運用チームの一員として、計算機を運用し、パフォーマンスの信頼性、利用可能時間と運用コストを最適化します。さらに、運転停止やパフォーマンスの低下の際には修理を行います。その一環として較正方法の確立、遠隔モニタリング、自動化を行います。
• 顧客の成功のマネジメント：QuEra社の顧客とのコミュニケーションを通じて、彼らのニーズを把握し、それらをシステム構築や運用の目標および優先順位に落とし込んでいただきます。顧客には、商用計算機の所有者である産総研、計算機のユーザー、量子ソフトウェアやサービスプロバイダーなどが含まれます。
• 科学・応用開発のサポート：主要顧客と連携し、QuEra社の量子計算機を活用して高インパクトなプロジェクトの成功を支援していただきます。プロジェクトによっては、計算機を特別な構成で運用したり、特別な機能を開発することもあります。QuEra社のアルゴリズムならびに応用チームとの緊密なやりとりが必要になります。

応募資格 

• 実験原子物理学ないし関連分野での博士号を有すること。中性原子ないしイオントラップ、あるいはその他の量子デバイスまたは量子計算のプラットフォームの実験系を構築または運用した経験があること。
• 査読付き論文ないし学術講演やその他の貢献によって裏付けられた実験的研究の業績があること。
• 高いコミュニケーションスキルを持ち、多様な顧客とユーザーの要望を理解し、それを技術的な要求やロードマップに落とし込むことに強い興味があること。
• プログラミング言語や基本的なソフトウェア構造の理解をはじめとするソフトウェアスキルを持っていること。
• 量子技術研究者やエンジニアを指導した経験があること。

QuEra社は多様性に富んだ労働環境を育むことを使命としており、機会均等な雇用者であることを誇りとしています。現在および将来の従業員の多様性に高い価値を見出し、採用と昇進のプロセスにおいて、人種、宗教、肌の色、国籍、性別、性自認、性的嗜好、年齢、配偶者の有無、兵役経験の有無、障害の有無、およびその他法律で保護された特性による差別を行いません。

Position: Sales Account Manager

Location: Tokyo, Japan

Report to: Head of Sales, Japan

Role Description:

The Sales Account Manager (SAM) is responsible for implementing sales and marketing strategies and tactics for related product/service lines to achieve sales and profit goals in their designated geographic territory. The SAM is expected to use his/her knowledge of the business and external contact to expand and deliver profitable initiatives to the organization.

Key Responsibilities:

• Achieve the agreed monthly/quarterly/yearly sales and/or profit goals.
• Contribute to the development and implementation of sales strategies and tactics for products/services, new markets and new applications.
• Work together with Sales/BD Managers and Technical Account Managers to ensure all possible actions are taken to secure business in competitive situations.
• Share market knowledge and customer feedback with Senior Management, Sales and Marketing teams.
• Report timely to Head of Business Development including：Written reports as requested; Documentation of sales activities via CRM system (Sales Account Manager (SAM) will be responsible for implementing sales and marketing strategy and tactics for related product/service lines to achieve sales and profit goals in their designated geographic territory).
• Introduce GenScript to new markets – Industrial/Academic/Government institutions.
• Drive business expansion in collaboration with inside technical support team (TAM).
• Build a business reference network for business expansion.
• Work through channel partners and key customers to achieve the sales targets

Qualifications:

• Masters or PhD. in Biology / Life Science discipline
• At least 1 year of hands-on lab experience preferred; Life science research, molecular biology or related research experience is a plus)
• At least 2 years of relevant sales experience preferred with a high level of technical and professional expertise. Field application scientist experience may be acceptable.
• Knowledge of the Biological and CRO market with an emphasis on one or more of the following: Gene Synthesis, Protein, Peptide, BioAssay, Antibody or Cell Line, Products, and
• Socially active within the network of the life science industry.
• Ability to communicate effectively in English, verbally and in writing.
• Ability to work independently or within a team and drive to succeed in an international business environment.
• Ability to accurately forecast sales within the territory on a monthly basis.
• Ability to travel overnight up to 30%.

#GS

#LI-YD1  

About Appier 

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.

About the role

AI is reshaping how brands connect with consumers — and at Appier, we’re at the forefront. Our Playable Ads team builds AI-powered ad experiences — from interactive playable formats to video ads — that drive dramatically higher engagement and conversion for the world’s leading apps and games. We’re looking for a Senior Machine Learning Scientist to push the boundaries of what’s possible — applying cutting-edge ML, generative AI, and optimization techniques to create smarter, more compelling ad creatives at scale.

If you’re excited about turning the latest advances in AI into products that reach millions of users, and you thrive at the intersection of research and real-world impact, we’d love to talk.

What You’ll Work On

• Apply ML and generative AI techniques to problems such as creative optimization, user behavior prediction, engagement modeling, and dynamic content generation for various creative formats.
• Own the end-to-end ML lifecycle — from problem framing and experimentation through to production deployment and continuous improvement.
• Collaborate closely with product, engineering, and design teams to translate business goals into well-defined ML solutions.
• Conduct offline and online evaluation, A/B testing, and performance monitoring to continuously improve model quality and business impact.
• Stay current with the latest research in areas like LLMs, multimodal models, reinforcement learning, and recommendation systems, and proactively propose innovative applications to the team.
• Mentor fellow scientists and contribute to the team’s technical standards and culture.

What We’re Looking For

[Minimum qualifications]

• Master’s or Ph.D. in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or a related field.
• Solid understanding of modern ML models and algorithms, with hands-on experience in at least one area such as prediction/optimization, generative models, recommendation systems, computer vision, or reinforcement learning.
• Proficient in Python and ML frameworks such as PyTorch or TensorFlow.
• Practical experience taking ML models from prototype to production, including pipeline development and performance monitoring.
• Strong analytical and problem-solving skills with the ability to diagnose model behavior and improve training pipelines.
• Clear communicator who can explain technical ideas to both technical and non-technical stakeholders and enjoys working in a fast-paced, collaborative environment.
• Proficient in using LLM-powered development tools (e.g., GitHub Copilot, Cursor, ChatGPT) to accelerate productivity.
• Ability to balance cutting-edge research with time-to-market constraints, delivering iterative PoCs that validate product hypotheses and translate into production-ready solutions.

[Preferred qualifications]

• Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, KDD, RecSys).
• Experience in the advertising technology or MarTech domain.
• Contributions to open-source projects or active involvement in research communities.

#LI-AK1

Computational Chemistry Intern (Materials Modeling / Molecular Simulation)

About Us

SES AI is a leader in AI-driven materials discovery, building the Molecular Universe (MU) platform to accelerate the development of next-generation battery chemistries. Our work integrates physics-based simulations, machine learning, and large-scale data infrastructure to enable rapid innovation in material science with a dedication to AI for Science.

To learn more about SES, please visit: www.ses.ai

Position Scope

SES AI is seeking a Computational Chemistry Interns to join the Molecular Universe team and support computational modeling and simulation of advanced electrolyte systems. This is a hands-on research role focused on liquid-phase molecular dynamics (MD) simulations, especially for electrolyte systems relevant to next-generation batteries.

Interns will receive training and mentorship from our computational scientist, and collaborate across global teams.

• Location: Japan (Remote)
• Duration: 6 months

Responsibilities

• Contribute to the SES Molecular Universe project by supporting computational chemistry modeling and simulation of advanced electrolyte systems
• Independently or collaboratively perform molecular dynamics simulations for liquid-phase systems, especially electrolytes, including system construction, initial structure generation, and simulation parameter setup
• Execute the full MD workflow, including job submission, HPC resource utilization, run monitoring, troubleshooting, and issue resolution
• Analyze simulation results in depth, including but not limited to:
• Structural properties such as radial distribution functions (RDF), coordination numbers, and solvation structures
• Dynamic properties such as diffusion coefficients and ion transport behavior
• Thermodynamic and statistical property extraction
• Build and improve automated data-processing pipelines to enhance simulation efficiency, reproducibility, and scalability
• Convert simulation outputs into clear reports, visualizations, and presentations that support scientific and engineering decision-making
• Collaborate with internal teams to improve workflow robustness and reproducibility across simulation pipelines
• Support the scaling and engineering of molecular simulation workflows within the MU platform

Preferred / Advanced Responsibilities

• Contribute to force field development, optimization, and validation for electrolyte or ion-containing systems
• Explore higher-accuracy or higher-efficiency simulation methodologies
• Participate in the engineering and platformization of simulation workflows, including workflow automation, orchestration, and task scheduling

Qualifications

• PhD (or PhD candidate) in Computational Chemistry, Materials Science, Chemical Engineering, Physical Chemistry, or a related field
• Hands-on experience with molecular dynamics simulations, particularly for liquid-phase systems
• Familiarity with common simulation tools such as GROMACS, LAMMPS, OPENMM, or similar packages
• Experience with electrolyte systems, ionic systems, battery-related simulations, or sodium-ion systems is strongly preferred
• Understanding of molecular force fields, including basic principles of force field development and parameterization; direct experience is preferred
• Programming skills in Python or similar languages for data analysis, workflow automation, and simulation pipeline development
• Strong problem-solving skills and the ability to diagnose simulation instability, convergence issues, and physical inconsistencies
• Excellent communication skills, with the ability to clearly present technical findings to both technical and non-technical audiences
• Ability to work effectively in a collaborative, international research environment

Language Requirement

• Professional English proficiency is required
• For positions based in Korea, Japan, and Mainland China, candidates must speak English fluently and be able to conduct professional work in English, including technical discussions, documentation, and presentations

Why Join SES AI

• Work on real, high-impact problems in next-generation battery materials discovery
• Contribute to production-relevant simulation workflows rather than isolated academic projects
• Gain exposure to the intersection of molecular simulation, automation, AI for Science, and materials innovation
• Collaborate with a global team across simulation, machine learning, and experimental validation

Summary

QuEra Computing is seeking a qualified candidate to help develop algorithms and applications in collaboration with external customers, collaborators, and users. With an outcome-oriented mindset, you will work on projects ranging from machine learning, operations research, data science, chemistry, and more. Working individually and as part of a team, you will interact with clients, business partners, collaborators, and other users of quantum computers to implement algorithms, develop use-cases, and create business solutions that leverage near and intermediate-term neutral atom quantum computers.

QuEra Computing is the leader in neutral atom quantum computing, and is a front runner in the race towards utility-scale quantum computing. In this role, you will be at the cutting edge of quantum computing development. Your contributions and ideas will help steer QuEra and the entire field to practical quantum utility.

Qualifications

• MSc or a Ph.D. degree in applied mathematics, computer science, physics, or a related discipline, or equivalent professional experience
• Expert knowledge of at least one of the fields of quantum machine learning, quantum optimization, quantum chemistry, or quantum information science
• Strong knowledge of the fundamentals of quantum computing and algorithmic primitives
• Strong written and verbal communication skills
• Ability to collaborate effectively across multidisciplinary teams
• Proficiency in Python
• Strong written and verbal communications skills in both English and Japanese

Preferred Qualifications

• Expertise in an industry vertical such as logistics, finance, operations research, chemistry, biotech, engineering, machine learning, or other related field
• Experience developing client-focused quantum solutions
• Familiarity with scientific software coding practices and use of software platforms such as GitHub
• Familiarity with HPC or cloud environments
• Familiarity with neutral atom quantum computing

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

職位：量子ソリューション科学者   

勤務地：日本（リモートワーク可／応相談） 

職務概要 

QuEra Computingでは、社外の顧客・共同研究者・ユーザーと連携しながら、量子アルゴリズムやアプリケーションの開発を推進できる量子ソリューション・サイエンティストを募集しています。 

本ポジションでは、成果志向のアプローチを重視し、機械学習、オペレーションズリサーチ、データサイエンス、化学など多様な分野のプロジェクトに取り組みます。クライアントやビジネスパートナーと協働し、アルゴリズムの実装、ユースケースの開発、そして中性原子量子コンピューターを活用したビジネス課題の解決に挑戦していただきます。 

QuEra Computingは、中性原子量子コンピューティングの分野で世界をリードする企業であり、実用規模の量子コンピューター実現に向けた最前線に立っています。このポジションでは、あなたのアイデアと研究成果がQuEraおよび業界全体を「実用的な量子コンピューティング（quantum utility）」の時代へと導くことになります。 

主な業務内容 

• クライアントや共同研究パートナーとの協働による量子アルゴリズム・アプリケーションの設計および開発 

• 各業界（金融、製造、物流、化学など）における量子コンピューティングのユースケース創出 

• データ分析、モデル開発、アルゴリズム実装を通じた実証実験およびソリューション提案 

• 海外チーム（米国ボストン本社など）との共同研究および技術的コミュニケーション 

応募資格 

• 応用数学、計算機科学、物理学、または関連分野の修士号または博士号、もしくは同等の実務経験 

• 量子機械学習、量子最適化、量子化学、または量子情報科学のいずれかの分野における専門的知識 

• 量子コンピューティングの基礎理論およびアルゴリズムに関する深い理解 

• Pythonを用いた開発スキル 

• 優れた英語および日本語でのコミュニケーション能力 

• 学際的・国際的なチームでの協働経験 

望ましいスキル・経験 

• 物流、金融、オペレーションズリサーチ、化学、バイオテクノロジー、工学、または機械学習などの分野での専門知識 

• 顧客課題にフォーカスした量子ソリューションの設計・開発経験 

• GitHub等を利用したソフトウェア開発およびバージョン管理経験 

• HPC（高性能計算）またはクラウド環境での開発経験 

• 中性原子量子コンピューティングに関する理解・経験 

求める人物像 

• 新しい技術を積極的に学び、チームとともに成長できる方 

• 研究成果を社会実装へとつなげることに情熱を持つ方 

• グローバルな環境でのコミュニケーションを楽しめる方 

ダイバーシティとインクルージョン 

QuEra社は多様性に富んだ労働環境を育むことを使命としており、機会均等な雇用者であることを誇りとしています。現在および将来の従業員の多様性に高い価値を見出し、採用と昇進のプロセスにおいて、人種、宗教、肌の色、国籍、性別、性自認、性的嗜好、年齢、配偶者の有無、兵役経験の有無、障害の有無、およびその他法律で保護された特性による差別を行いません。 

#LI-NB1