Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell® Fusion, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.

CMT is looking for a creative, collaborative, and highly motivated Machine Learning Intern to help develop applied machine learning capabilities using real-world mobility and behavioral data. This internship is ideal for someone who enjoys solving ambiguous problems, building practical ML workflows, working with messy real-world datasets, and translating technical findings into clear recommendations.

The intern will work on a 12-week applied ML project involving data exploration, labeling strategy, feature engineering, model development, evaluation, and stakeholder-facing analysis. The ideal candidate has strong Python skills, a solid foundation in machine learning, strong initiative, and the ability to make progress in open-ended problem spaces.

Responsibilities:

• Explore real-world mobility datasets and identify useful behavioral, temporal, contextual, and aggregate patterns
• Help define practical data labeling guidelines, quality criteria, and edge-case handling rules
• Build and validate datasets for supervised machine learning experiments
• Develop baseline and improved ML models using Python and standard data science workflows
• Perform feature engineering, model evaluation, error analysis, and iteration
• Assess model performance across relevant data segments and edge cases
• Summarize findings, limitations, risks, and opportunities for technical and product stakeholders
• Produce clear documentation, analysis reports, and final recommendations

Qualifications:

• Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Machine Learning, Statistics, Engineering, Applied Math, or a related quantitative field
• Strong Python programming skills and comfort working with real-world datasets
• Solid understanding of supervised machine learning, feature engineering, classification metrics, train/test splits, and error analysis
• Experience with common Python data science libraries such as pandas, NumPy, scikit-learn, PyTorch, TensorFlow, or similar tools
• Strong analytical and problem-solving skills, with a bias toward initiative and ownership
• Clear written and verbal communication skills, including the ability to explain technical findings to non-technical stakeholders

Compensation and Benefits:

• Fair and competitive hourly rate based on education level
• Flexible scheduling options depending on role and responsibilities

Additional Perks:

• Feel great working to improve road safety around the world!
• Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness
• CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

What You Will Contribute To Altos

An exciting opportunity is available for a Scientist II to join the Larrieu group at Altos Labs, Cambridge Institute of Science (Cambridge, UK). At Altos, the Larrieu lab is exploring both fundamental questions and translational opportunities. We are seeking a very highly motivated, versatile, creative, and collaborative individual, who is passionate and dedicated about employing their expertise to unravel the deep biology of cell health and resilience. This includes the elucidation of the mechanism of action of specific interventions that can reverse, halt or mitigate the effects of ageing on cell health. 

Responsibilities

• Elucidate processes that contribute to the age-related erosion of cell/tissue resilience.
• Engage in ground-breaking and innovative science and in Altos scientific activities.
• Develop project-specific experimental strategies, techniques, and procedures including new assays and pipelines to support translational projects.
• Lead, design and execute in vitro and in vivo experiments for identification and validation of targets with therapeutic potential
• Develop and implement biochemical and cellular assays to support screening and characterization of potential candidate therapies
• Collaborate widely across Altos to multiply efforts, gain insight into the centrality of the nuclear envelope in ageing and identify potential new therapeutic avenues          
• Collaborate with multidisciplinary teams including chemists, pharmacologists, and bioinformaticians to advance drug discovery projects.
• Present data to a variety of audiences including senior executives through entry-level employees.

Who You Are

Minimum Qualifications

• PhD in life sciences with 3-5 years of relevant postdoc/industry experience
• Extensive experience in mammalian cell culture (including primary cells).
• Strong background in molecular and cell biology with experience in assay development and validation, to support pre-clinical studies.
• Experience in small rodent handling, with an ability to independently design and coordinate the execution of complex in vivo studies, including drug administration, tissue harvest and processing.
• Strong sense of collective ownership of projects within the group and Altos.
• Critical, visionary, and creative thinking with an ability to formulate scientific questions, design strategies, and implement plans effectively.
• Strong organizational skills to manage multiple tasks simultaneously, prioritize workloads, and meet deadlines.
• High level of rigor and precision in experimental procedures, data recording, and documentation.
• Problem-solving skills to identify potential issues, test, and develop innovative solutions.
• Excellent writing and communication skills
• Ability to maintain cooperative working relationships with a broad range of people, including staff colleagues, lab members and the community

Preferred Qualifications 

• Understanding of in vivo delivery systems such as AAV, LNP, lentivirus etc.
• Biochemistry skills, including biochemical and enzymatic assay development
• Some proficiency in R and Python to support data analysis
• Prior industry experience

The salary range for Cambridge, UK:

• Scientist II, Biological Sciences: £61,400 - £80,800

Exact compensation may vary based on skills, experience, and location.

#LI-NN1

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

Why Join Us?

As a member of the Parabilis Medicines team, you will be a part of an organization dedicated to creating extraordinary medicines for diseases with urgent unmet needs, harnessing our proprietary peptide platform to transform treatment possibilities for patients. Parabilis is a clinical-stage biopharmaceutical company dedicated to unlocking high-impact protein targets long-considered undruggable. The company has developed a new class of stabilized, cell-penetrant alpha-helical peptides – Helicons™ – capable of modulating intracellular proteins that are inaccessible to traditional drug modalities.

Headquartered in Cambridge, Mass., Parabilis is advancing a focused pipeline of multiple first-in-class therapies across both rare and common cancers. Its lead asset, zolucatetide (FOG-001), is a first-in-class, clinically validated direct inhibitor of the interaction between β-catenin and the T-cell factor (TCF) family of transcription factors, implicated in millions of cancer cases annually, including in colorectal cancer, desmoid tumors, hepatocellular carcinoma and a range of other Wnt/β-catenin-driven tumors. In Phase 1 clinical trials, zolucatetide produced the first-ever clinical evidence that it can directly inhibit this interaction, once previously considered “undruggable” despite its role across multiple cancer types. Parabilis is also advancing investigational degraders of ERG and ARON into clinical development for the treatment of prostate cancer, as well as progressing other preclinical programs. Backed by a recent $305 million Series F financing, Parabilis is entering an exciting phase of growth and execution.

What’s the opportunity?

The VP, Development Data Science will build and lead a cross functional data centric matrix to accelerate drug development, support regulatory submissions and guide the Real-World Data (RWD) / Real-World Evidence (RWE) function at Parabilis. This role is responsible for end-to-end strategy and execution of RWD/RWE and clinical data science to inform trial design, contextualize clinical results, support biomarker and translational work, and optimize site and patient selection.

The VP will partner closely with Clinical Development, Clinical Operations, Biostatistics, Translational/Computational Biology, Regulatory, and the broader Data Science & Engineering team to maximize the probability of success of our clinical programs.

• Strategy & Leadership
  • Define and own the Clinical Data Science strategy.
  • Serve as the senior Clinical Data Science leader and primary point of contact for RWD/RWE across programs aligned with portfolio and corporate objectives.
  • Represent Clinical Data Science on cross-functional governance and portfolio forums.
• RWD/RWE & Clinical Analytics
  • Design and oversee RWE studies to contextualize clinical trials, including synthetic/external control arms, patient matching, and trial emulation.
  • Use RWD to inform clinical trial design (eligibility criteria, endpoints, enrichment strategies), dose/regimen selection, and go/no-go decisions.
  • Contribute data science insights for feasibility and site selection, including epidemiology, patient journeys, referral patterns, and diversity/access.
  • Integrate RWD with internal clinical and biomarker data to support forward and reverse translation, target and indication strategy, and mechanism-of-resistance analyses.
  • Establish and maintain best practices in causal inference, comparative effectiveness, and time-to-event modeling relevant to RWE in oncology.
• Data Assets, Partnerships & Infrastructure
  • Identify, evaluate, and prioritize RWD sources (EHR, claims, registries, genomic/omic datasets, imaging, PROs) to support current and future clinical needs.
  • Lead collaboration and contracting with RWD providers and academic/industry partners in coordination with Commercial, Business Development, Legal, and Procurement.
  • Partner with Engineering and Data Science to define requirements for secure, scalable, compliant RWD infrastructure and analytic environments.
  • Ensure data quality, interoperability, and governance suitable for regulatory-grade analyses.
• Team Building & Management
  • Build and lead a high-performing Clinical Data Science team (e.g., RWE epidemiologists, clinical data scientists, etc).
  • Set clear objectives, provide regular feedback, and support growth and succession planning.
  • Foster a culture of scientific rigor, transparency, and effective collaboration with Clinical Development, Biostatistics, and other partners.
• Cross-Functional Collaboration & Communication
  • Work in an integrated way with Clinical and Development teams to define key questions and translate them into analytic and RWE plans.
  • Communicate complex methods, assumptions, and results clearly to clinical, technical, and executive stakeholders.
  • Support regulatory and payer/Health Technology Assessment interactions where RWE and clinical analytics contribute to program strategy (e.g., briefing documents, responses, meeting preparation).
  • Collaborate with Translational and Computational Biology to align biomarker and patient selection strategies with integrated clinical and RWD analytics.
• Governance, Quality & Compliance
  • Ensure RWD/RWE activities meet regulatory, ethical, and privacy standards (e.g., GCP, data de-identification and privacy requirements).
  • Implement documentation, reproducibility, and quality standards for Clinical Data Science analyses.
  • Monitor evolving external expectations for use of RWE in regulatory and payer settings and adapt internal practices accordingly.

What you’ll need to be successful:

• PhD, MD, PharmD, or MS in Epidemiology, Biostatistics, HEOR, Data Science, or a related quantitative field.
• 12–15+ years of experience in pharma/biotech, healthcare technology, or related sectors, with significant focus on RWD/RWE and clinical development; oncology experience strongly preferred.
• Proven track record designing and delivering impactful RWE studies to inform clinical, regulatory, or payer decision-making.
• Strong understanding of clinical trial design, biostatistics fundamentals, and translational/biomarker concepts, ideally in oncology or immuno-oncology.
• Demonstrated experience building, leading, and developing high-performing quantitative teams in a matrixed environment.
• Hands-on familiarity with major RWD types (EHR, claims, registries, genomic/omic datasets) and key vendors/platforms.
• Proficiency with modern analytic tools and programming environments (e.g., R, Python, SQL) and with guiding development of robust, reproducible analytic workflows.
• Excellent communication and influencing skills with the ability to engage effectively with clinicians, statisticians, senior leaders, and external partners.

Core Values

Parabilis Medicines is a team of passionate pioneers who are trailblazing the future of precision medicine with the aim of making a meaningful difference in the lives of patients. The company is committed to promoting an inspiring and flourishing working environment for all employees across the business, in all departments, and driving innovation for patient benefit.

• Growth-Minded. We’re inventing a new class of medicines—one applicable to therapeutic targets that have been dreamt about, but always considered impossible to drug. Our work requires us to be curious, humble and adaptable.
• In(ter)dependent. We are fiercely independent as a leader in defying the limitations of current therapeutic modalities, and interdependent as a team as we work collaboratively to shift drug discovery paradigms and provide patients with better treatment options.
• Patient-focused. We are deeply focused on patient outcomes, and all energy in the company is focused on science as it translates to patient impact.
• All-In. We’re All-In on solving some of the hardest scientific challenges and delivering one of the most effective new classes of drugs in history.

The base salary range for this position is $325,000-$380,000 per year, depending on experience, qualifications, and internal practices. Parabilis’s total compensation package also includes an annual target bonus, equity, and a comprehensive suite of competitive benefits designed to support our employees’ overall well-being.

As an equal opportunity employer, Parabilis Medicines values an inclusive workplace and welcomes applicants of all backgrounds and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law.

30 Acorn Park Drive    |     Cambridge, MA 02140    |    www.parabilismed.com

The Cloud Automation Engineer designs, builds, and operates automation-first cloud infrastructure platforms using Infrastructure-as-Code (IaC), CI/CD, and serverless automation. The role enables secure, repeatable, and resilient cloud environments through standardized automation, self-service capabilities, and codified governance primarily in Microsoft Azure, with tertiary exposure to AWS. 

This role partners closely with Cloud Platform Engineering, Security, Network, and Operations teams to ensure all automation solutions are secure-by-design, private-network-first, and resilient by default, including full lifecycle support for business continuity and disaster recovery (BC/DR) implemented through IaC. 

What will you do?

​​Infrastructure-as-Code (IaC) & Cloud Automation 

• Design, develop, and maintain Infrastructure-as-Code using Terraform, ensuring infrastructure is reproducible, testable, and auditable. 
• Build and maintain reusable IaC modules aligned with platform standards, security guardrails, and network architecture patterns. 
• Implement automated provisioning, configuration, scaling, and decommissioning workflows for cloud infrastructure and shared services. 
• Define and maintain code repositories following industry BEST PRACTICES and strong code repository governance 
• Design and maintain BC/DR capabilities and recovery environments using Infrastructure-as-Code.  
• Automate recovery environment deployment and support validation/testing routines to ensure recoverability and resilience. 

CI/CD Pipeline Engineering  

• Design, implement, and maintain CI/CD pipelines for infrastructure and platform automation. 
• Integrate testing, validation, and policy enforcement into pipelines to promote safe and consistent changes. 
• Enable repeatable deployments across environments using modern DevOps practices. 

​​​​Azure Automation & Serverless Engineering 

• Build automation solutions using PowerShell, Azure Logic Apps, Azure Automation Accounts, and Azure Functions. 
• ​Develop event-driven and scheduled automation for platform operations, governance processes, and operational workflows. 
• ​Implement robust secret management and secure runtime configuration practices. 
• ​Develop and maintain automation using PowerShell, Python, and Bash scripting.  
• ​Use appropriate scripting/tools to enable orchestration, integration, validation, and operational automation across platforms.

​​Collaboration and Support​ 

• Work closely with other IT teams to integrate cloud network solutions with existing systems and applications. 
• ​​Troubleshooting, diagnosing, and resolving hardware, software, and other network and system problems including router, switches, firewalls, wireless controllers and VPN concentrators. 
• ​Maximizing network performance by monitoring activity and utilizing observability tools such as Dynatrace and Azure monitoring. 
• ​Monitoring and maintenance of company-wide AV (Audio-Video) infrastructure – such as conference rooms, collaboration spaces etc.  
• ​Serve as the on-call network engineering for after-hours escalation issues as part of the company on-call rotation schedule.​ 

Modern Observability & Operational Telemetry ​ 

• Ensure automation solutions are observable and operationally supportable by integrating with modern observability platforms such as Dynatrace, Datadog, and Azure-native tooling including Azure Monitor and Azure Log Analytics. 
• Develop dashboards, alerts, and operational insights, enabling faster detection and root-cause analysis (RCA) by using telemetry (metrics/logs/traces) and platform standards. 
• Use modern query languages such as DQL (Dynatrace Query Language) and KQL (Kusto Query Language), with secondary knowledge of SQL, to support troubleshooting, insights, and automation-driven operations

Security & Compliance Engineering

• Embed cloud security and technology security best practices into all automation solutions (identity, secrets, least privilege, logging, secure configuration baselines). 
• Partner with Security teams to ensure automation aligns with enterprise security requirements and audit expectations. 
• Ensure changes are traceable and auditable through source control and deployment records. 
•  Apply a strong foundation in cloud network theory to ensure automation processes are designed with a private networking first priority.  
• Ensure automation supports secure connectivity patterns (segmentation, routing considerations, controlled ingress/egress, and service endpoint/Private Link-style design patterns where applicable). 

What will you need to succeed in this role?

• Undergraduate degree in Engineering or related field with ​​one of the Certifications: AZ-104, AZ-400, Terraform Associate or Terraform Authoring and Operations Professional​ 
• Minimum of 5 years of experience with batch scripting languages 
• ​Minimum 3 years of experience with technology process automation using tools such as Azure Functions, Logic Apps, Automation Accounts, Lambda or Power Platform 
• ​Minimum 2 years DevOps experience 
• ​Relevant certifications such as AZ-104, AWS CloudOps Engineer  
• ​AZ-400 certification is highly desirable  
• ​Minimum of 3 years of experience with Infrastructure as Code technologies such as Azure BICEP, ARM or Terraform. Preference to direct Terraform experience. 
• ​Minimum of 2 years of experience with private cloud networking concepts
• Technical Expertise: Proficiency in infrastructure technology automation, working within cloud platforms such as AWS, Azure, or Google Cloud.
•  In-depth understanding of system automation scripting technologies using common scripting languages such as PowerShell, Bash or Python.  
• ​​In-depth understanding of high availability, disaster recovery, multi-site architecture, serverless micro-service automation architecture, and hybrid cloud service integration is a must.​
• ​Infrastructure as Code Knowledge: Strong understanding of Infrastructure-as-Code concepts and technologies (e.g. Terraform, BICEP, ARM, Git).
• Ability to build Terraform code based on technology infrastructure architecture designs and service catalogue standards.
• Knowledge of Git repository branch strategies and code repo best practices.
• Automation and Integration Skills: Experience with serverless automation tools across hybrid cloud providers to build integration and automation processes based on business need.
• ​Hands-on experience with serverless automation tools such as Azure Automation Accounts, Logic Apps, Functions, AWS Lambda and Data Factory.
• Strong understanding of object-oriented scripting using common script languages like PowerShell, Bash or Python.
• Working experience with vendor API tools for use within automation and integration processes.
• ​Problem-Solving: Ability to diagnose and resolve complex micro-service and CI/CD issues.
• Ability to diagnose and resolve complex micro-service and CI/CD pipeline issues across a hybrid cloud environment.
• Act as SME and tier 3 support for troubleshooting of deployed automation and integration solutions.
• Solving and conducting disaster recovery operations when required
• Communication: Excellent verbal and written communication skills to collaborate effectively with team members and stakeholders.
• ​Project Management: Ability to manage multiple projects and prioritize tasks effectively. 

#LI-Hybrid

The expected base salary range for this position is $64,500 - $114,500. Depending on your relevant experience, skills, qualifications, market conditions and business needs, base compensation may vary. You have the potential to earn more through Gore Mutual’s discretionary bonus program which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals.

Please note: This range reflects the expected base salary for this role but may not represent the full compensation range for all experience and skill levels. During the recruitment process, we will discuss and consider how your unique qualifications align with the broader range for this position.

Gore Mutual is proud to offer a comprehensive total rewards package which includes extended health and dental benefits, disability insurance, retirement plan matching, paid time off, recognition and perk programs.

#LI-Hybrid

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a researcher at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. As such, we’re looking for candidates who are keen scientists and engineers, with the theoretical and practical skills needed for impactful AI research.

We are looking for researchers with experience of AI in low-power, edge and embodied scenarios such as robotics, autonomous driving and augmented/virtual reality. We are interested in the training and deployment of multimodal AI models in these contexts, covering areas such as world models, real-time computer vision, generating and reasoning over audio/video streams.

The Team

Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world.

We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations.

Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you!

Responsibilities and Duties

• Generate AI/ML ideas, design experiments, implement them & evaluate results.
• Prepare, submit & present your work to AI conferences and workshops.
• Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware.

About you:

Essential:

• Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering).
• Experience in embodied AI, world models or robotics.
• Python programming in a modern deep learning framework, e.g. PyTorch or JAX.
• Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling.
• Capable of designing, executing and reporting from ML experiments.
• Mathematics skills to support the above: calculus, probability theory and linear algebra.
• Experience submitting papers to international scientific conferences or workshops.

Desirable:

• Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton.
• Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling.
• Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution.
• Conference or workshop submissions in the fields of embodied AI, world models, or robotics.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

Warning: Fraudulent Job Adverts Beware of fraudulent activities claiming to represent Insurify. We are not associated with any entities soliciting personal information or payment. The safety of our job seekers is a top priority, and we actively work to prevent such incidents. Insurify will never request sensitive information or payment during the hiring process. Be cautious of text-only interviews, interviews conducted through Microsoft Teams, or suspicious offer letters. 

Why us? 

Insurify is one of America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.

Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.

Join us if you like

• $1.3 Trillion market opportunity
• MIT alumni founders
• Female-led startup
• $130M total funding
• Strong leadership team with experience from many successful startups around the world

We’re looking for a Senior Marketing Analyst to manage and scale Insurify’s paid social program, driving measurable performance, and incremental growth.

This role sits at the intersection of Brand and Performance Marketing, and Analytics, owning the day-to-day execution, measurement, and optimization of Insurify’s paid social channels. You’ll serve as the internal subject matter expert for paid social, ensuring campaigns are thoughtfully executed, rigorously measured, and continuously improved through data-driven insights.

You’ll play a critical role in translating complex data into clear recommendations, connecting performance to business outcomes, and expanding Insurify’s impact across social channels.

This is a hybrid position that requires candidates to be able to come into our Cambridge, MA office.

How you will make an impact

• Analytics & Insights: Analyze business and campaign-level data to uncover meaningful insights, diagnose performance trends, and recommend strategic initiatives that improve customer engagement and drive incremental value
• Measurement & Reporting: Own and maintain core performance dashboards, conducting deep-dive analyses to interpret inconsistent trends, identify anomalies, and synthesize findings into actionable recommendations
• Paid Social Execution & Ownership: Plan, launch, and manage paid social campaigns across key platforms, ensuring accurate tracking, strong execution, and ongoing optimization
• Performance Monitoring & Optimization: Monitor daily campaign performance, audience targeting, and quality signals to ensure campaigns are meeting performance and operational standards
• Channel Expansion & Testing: Identify, explore, and lead testing across new and emerging mid-funnel social and digital channels to expand reach and improve efficiency
• Subject Matter Expertise & Collaboration: Act as the internal SME for paid social platforms, partnering closely with cross-functional teams to drive continuous improvement

Who you are

• 3-5 years of professional experience in marketing analytics, performance marketing, or a related role, with hands-on exposure to paid social advertising
• Strong analytical skill set with experience translating data into insights that influence marketing and business decisions
• Proficient in Meta Ads Manager and Google Analytics, with a solid understanding of campaign setup, tracking, and optimization
• Advanced SQL skills and proficiency in Python or R for statistical analysis, experimentation, and modeling
• Experience building and maintaining dashboards and working with data visualization tools to communicate performance clearly
• Detail-oriented, curious, and comfortable working cross-functionally in a fast-paced environment

Benefits

• Competitive compensation
• Generous stock options
• Health, Dental Coverages
• 401K plan with match
• Unlimited PTO
• Generous company holiday calendar
• Learning & Development Stipends
• Paid Family Leave
• Social impact volunteer time 
• Catered lunches in the office

Insurify is committed to offering a fair, competitive, and transparent compensation program that supports our mission to attract, retain, and motivate top talent. Our compensation philosophy is guided by several factors including a candidate’s relevant experience, education/training, job-related skills, and location.

In addition to the base salary our total compensation package includes health coverage, retirement contributions, and additional wellbeing benefits. Some positions may be eligible for company equity.

Below is the base compensation range for US locations:

$110,000-$130,000

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower-level programming and performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help to steer the future of AI hardware.

The Team

Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world.

We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations.

Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you!

Responsibilities and Duties

• Generate AI/ML ideas, design experiments, implement them & evaluate results.
• Prepare, submit & present your work to AI conferences and workshops.
• Provide technical insight to internal teams by designing experiments and delivering clear, actionable reports.
• Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware.

About you:

Essential:

•  Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry).
• Python programming in a modern deep learning framework, e.g. PyTorch or JAX.
• Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling.
• Capable of designing, executing and reporting from ML experiments.
• Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton.
• Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling.
• Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution

Desirable:

• Mathematics skills to support the above: calculus, probability theory and linear algebra.
• Experience submitting papers to international scientific conferences or workshops.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary

As a member of the drivers and utilities team you will contribute to the planning, design, implementation and testing of low level kernel drivers and user space driver library code. You will be part of one of the two teams in the system software department (the firmware team being the other one) and report to the drivers and utilities team manager.  

The Team

The drivers and utilities team forms part of the system software group – working closely with both software engineers developing our Poplar SDK and with silicon and hardware engineers developing Graphcore’s IPU solution. The drivers and utilities team develop custom control software on the host in kernel and user space. Our solutions enable our customers to get maximum performance and utility for our cutting-edge products.  

Responsibilities and Duties

• Design, implement, test and document OS Kernel and Device Driver software at the highest standard using C/C++/Python programming languages
• Participate in agile development – working as part of a scrum team to develop the right software at pace
• Communicate effectively and contribute regularly to technical discussions with your peers in software and hardware engineering, with architects and other stakeholders
• Hands-on during key product development phases involving close working with hardware and silicon engineering groups to enable fast time to market delivery

Candidate Profile

Essential:

• Proven industry experience in software development using programming languages such as C/C++/Python
• OS Kernel and Device Driver development and deployment experience in Linux or Windows systems
• Good understanding of lower-level software stack and interactions with the hardware layer
• Possess effective problem-solving skills, familiar with a full suite of debug and performance analysis tools and techniques
• Experience with one or more of the following: PCIe, CPU, device drivers, SoC, firmware, and hardware/software integration
• Proactive in obtaining engineering or management input to solve issues
• Motivated to schedule own workload
• Excellent written and verbal communication skills, work well within a multinational team and with multinational customers. Excellent cultural awareness is essential. 

Desirable

• Experience developing firmware or drivers for GPUs. 
• Knowledge of CUDA or OpenCL  
• Experience working on upstreaming of kernel code / contributing to Linux kernel.
• Exposure to integration with data centre / cloud service operations – for example integration with Kubernetes or open stack. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About us 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. 

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. 

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. 

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. 

Job Summary

The System Software group comprises of the Firmware team, the Drivers and Utilities team and, the System QA team. We are responsible for the enablement of all silicon and hardware platforms produced by our colleagues at Graphcore. Our aim is to produce high quality software and APIs that enable the wider software team to utilise our products efficiently and effectively. The Firmware and Drivers teams form the foundation of the Graphcore software stack, upon which all our customer-facing systems are built and run. 

The Team

The Drivers and Utilities team develop kernel and user space software to allow our customers to get maximum performance and utility from our unique hardware. We work closely with the software engineering team developing our Poplar SDK to support machine learning applications and with silicon and hardware engineers to fully exploit the capabilities of our Graphcore IPU solution.

Responsibilities and Duties

• Write code to Graphcore standards
• Ensure all code written has the appropriate unit tests created for it
• Participate in code reviews individually and as part of the team
• Participate in Scrum ceremonies
• Manually test code written by self and others
• Maintain our Continuous Integration system and fix when broken
• Contribute to and take part in technical design discussions with team members

Candidate Profile

Essential

• Bachelor’s or Master’s Degree in Computer Science, Maths, Machine Learning, Data Science, or related field.
• Previous experience with low-level software including embedded or device drivers. This could be a personal or university project
• Basic understanding of electronics including the ability to read and understand schematics and datasheets
• Introductory experience with any of the following languages: C, C++, Python
• Awareness of Continuous Integration systems such as Jenkins
• Experience using Git for managing source code, raising and reviewing Pull Requests, merging branches

Desirable

• Previously experience with hardware, perhaps with PCI cards or PC motherboards
• Has contributed to open-source projects
• Has designed and built own hardware and controlled it from a host (e.g. Linux-based system)
• Has an interest in how hardware and software platforms interact

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

About us 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. 

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. 

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. 

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. 

Job Summary

The System Software group comprises of the Firmware team, the Drivers and Utilities team and, the System QA team. We are responsible for the enablement of all silicon and hardware platforms produced by our colleagues at Graphcore. Our aim is to produce high quality software and APIs that enable the wider software team to utilise our products efficiently and effectively. The Firmware and Drivers teams form the foundation of the Graphcore software stack, upon which all our customer-facing systems are built and run. 

The Team

The Drivers and Utilities team develop kernel and user space software to allow our customers to get maximum performance and utility from our unique hardware. We work closely with the software engineering team developing our Poplar SDK to support machine learning applications and with silicon and hardware engineers to fully exploit the capabilities of our Graphcore IPU solution.

Responsibilities and Duties

• Write code to Graphcore standards
• Ensure all code written has the appropriate unit tests created for it
• Participate in code reviews individually and as part of the team
• Participate in Scrum ceremonies
• Manually test code written by self and others
• Maintain our Continuous Integration system and fix when broken
• Contribute to and take part in technical design discussions with team members

Candidate Profile

Essential

• Bachelor’s or Master’s Degree in Computer Science, Maths, Machine Learning, Data Science, or related field.
• Previous experience with low-level software including embedded or device drivers. This could be a personal or university project
• Basic understanding of electronics including the ability to read and understand schematics and datasheets
• Introductory experience with any of the following languages: C, C++, Python
• Awareness of Continuous Integration systems such as Jenkins
• Experience using Git for managing source code, raising and reviewing Pull Requests, merging branches

Desirable

• Previously experience with hardware, perhaps with PCI cards or PC motherboards
• Has contributed to open-source projects
• Has designed and built own hardware and controlled it from a host (e.g. Linux-based system)
• Has an interest in how hardware and software platforms interact

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

About us 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. 

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. 

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. 

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. 

Job Summary

The System Software group comprises of the Firmware team, the Drivers and Utilities team and, the System QA team. We are responsible for the enablement of all silicon and hardware platforms produced by our colleagues at Graphcore. Our aim is to produce high quality software and APIs that enable the wider software team to utilise our products efficiently and effectively. The Firmware and Drivers teams form the foundation of the Graphcore software stack, upon which all our customer-facing systems are built and run. 

The Team

The Drivers and Utilities team develop kernel and user space software to allow our customers to get maximum performance and utility from our unique hardware. We work closely with the software engineering team developing our Poplar SDK to support machine learning applications and with silicon and hardware engineers to fully exploit the capabilities of our Graphcore IPU solution.

Responsibilities and Duties

• Write code to Graphcore standards
• Ensure all code written has the appropriate unit tests created for it
• Participate in code reviews individually and as part of the team
• Participate in Scrum ceremonies
• Manually test code written by self and others
• Maintain our Continuous Integration system and fix when broken
• Contribute to and take part in technical design discussions with team members

Candidate Profile

Essential

• Bachelor’s or Master’s Degree in Computer Science, Maths, Machine Learning, Data Science, or related field.
• Previous experience with low-level software including embedded or device drivers. This could be a personal or university project
• Basic understanding of electronics including the ability to read and understand schematics and datasheets
• Introductory experience with any of the following languages: C, C++, Python
• Awareness of Continuous Integration systems such as Jenkins
• Experience using Git for managing source code, raising and reviewing Pull Requests, merging branches

Desirable

• Previously experience with hardware, perhaps with PCI cards or PC motherboards
• Has contributed to open-source projects
• Has designed and built own hardware and controlled it from a host (e.g. Linux-based system)
• Has an interest in how hardware and software platforms interact

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

About Graphcore

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.  

The Role:

We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. As the SoC Validation Lead, you will be responsible for enabling pre-production software to run reliably on new silicon quickly and efficiently, before showing that the silicon meets the highest standards of quality, reliability and functionality, ready for production deployment.

You will lead a team delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams.

Responsibilities:

• Define and lead post-silicon validation strategy
  Develop and refine the overall post-silicon validation approach for our AI SoCs, ensuring reliable and timely delivery of validated silicon, architectural correctness, feature robustness, and at-scale system reliability.
• Drive cross-domain debug and issue resolution
  Lead investigation and resolution of complex issues spanning silicon, firmware, operating systems, and platform interactions. Ensure that fixes are effective and sustainable.
• Promote collaboration and shared understanding
  Work closely with design, software, and validation teams to align on quality objectives and debug priorities. Use data-driven insights and clear communication to maintain focus and alignment across teams.
• Advance automation and scalable validation
  Encourage the use of emulation, prototyping, and large-scale validation infrastructure to improve coverage and reduce time to debug.
• Support continuous improvement
  Foster a culture that values learning, transparency, and improvement in validation methods, automation, and analysis.
• Engage with leadership and customers
  Provide clear and concise updates on validation progress, risks, and quality indicators to executive teams and key partners. Contribute to product readiness assessments and roadmap decisions.

About you:

• A systems thinker comfortable working across hardware, software, and integration boundaries.
• A collaborative leader who builds trust and alignment across diverse teams.
• Skilled in technical problem solving and debugging complex post-silicon issues.
• A clear communicator who can simplify complexity and support sound decision-making in fast-paced environments.
• Committed to developing people and promoting an inclusive, high-performing team culture.

Qualifications:

• Bachelor’s degree in Electronic Engineering or equivalent; Master’s preferred.
• 20+ years in silicon, system, or platform validation, including 10+ years in technical leadership.
• Proven experience leading post-silicon validation and bring-up for complex SoCs (AI, GPU, or CPU).
• Strong understanding of SoC architecture, coherency protocols, power management, and interconnects.
• Expertise in debug tools, DFT infrastructure, and validation automation frameworks.
• Proficient in C/C++, Python, and Linux-based environments; experience with large-scale validation clusters is an advantage.
• Excellent communication, collaboration, and stakeholder management skills.

About Graphcore

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

The Person 

Graphcore’s experienced, skilled, and motivated engineering team is heavily involved in shaping the future of AI. A successful candidate will exhibit exceptional knowledge in Design for Testability (DFT) and will have a strong technical background and experience in DFT methodologies, complemented by a robust, self-motivated work ethic. The ideal candidate should also have a focus on quality and demonstrate a good understanding of the importance of production test on the success of a product. Some hands-on experience in one or more of the following areas is essential: RTL design, simulations and debugging, synthesis, STA.  

The Role: 

We are expanding and looking for an experienced DFT engineers to join the Silicon team. As a part of our team, you will have the opportunity to work on next-generation AI designs targeted for data centers applications. 

Responsibilities: 

• Keep up with the latest industry trends in DFT domain and help adopt the latest DFT techniques and methodologies 

• Work closely with design, verification, physical design and product engineering teams to integrate DFT requirements into the overall design process 

• Define and implement DFT architecture and features for next-generation AI designs and support their verification effort 

• Develop efficient DFT flows and methodology compatible with silicon design flows 

• Work with 3rd party IPs to integrate the provided design into the DFT infrastructure 

• Generate structural test vectors, analyze and improve test coverage 

• Work with the product and test engineering teams to ensure successful silicon bring-up and help identify any silicon failures to enhance yield learning and improvement 

Requirements: 

• Very good understanding of DFT components like JTAG (IEEE 1149.x), IJTAG (IEEE P1687), Core Test (IEEE P1500), SSN (Streaming Scan Network), Test Compression, OCC etc. 

• Experience on developing DFT specifications and driving the implementation of the DFT features 

• Experience in MBIST and BISR implementation and verification is desired 

• Solid understanding of design verification methodologies for validating the DFT features using simulation in pre-silicon designs 

• Exposure to STA constraints development and analysis for DFT modes and SDF simulations would be a plus 

• Experience in Scan based testing and industry standard ATPG tools 

• Knowledge of ATPG pattern verification and gate-level simulation flows using Synopsys VCS and Verdi or other EDA tools 

• Very good knowledge of Digital Integrated Circuits and Systems 

• Hands-on experience with Verilog RTL coding and familiarity with System Verilog   

• Strong scripting and debugging skills using programming languages like Python, TCL, Perl, Shell etc. 

• Exposure to silicon bring-up, post-silicon testing and tester pattern debugging 

• Strong problem-solving skills across various levels of design hierarchies 

• Great team working and communication skills 

Academic Credentials 

• Bachelors or Masters or PhD in Computer engineering/Electrical engineering/Electronics Engineering

Benefits: 

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments  

We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know. 

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary 

We are seeking a Director of Silicon Logical Design to lead and scale our Logical Design group within the Silicon department. This role is accountable for the overall strategy, technical direction, execution quality and team development for Graphcores microarchitecture and RTL design efforts. 

The Director will be responsible for ensuring that our logical design methodologies, architectures and RTL implementations meet world class standards for performance, power, area, and schedule. This leader will partner closely with Architecture, Physical Design, Verification, DFT and Program Management teams to ensure successful, predictable silicon delivery aligned with Graphcores long term product roadmap. 

The Team 

The Logical Design team deliver the micro-architecture and RTL that realise our advanced chip architectures. As Director, you will guide this multi site team, strengthen cross functional collaboration, and drive the evolution of our design flows and capabilities. 

Responsibilities and Duties 

Leadership & Strategy 

• Define and execute the strategic roadmap for Logical Design, ensuring alignment with Graphcores silicon and product strategy. 

• Lead, grow and mentor a high performing RTL/micro architecture design organisation. 

• Establish and implement best in class design methodologies, documentation standards and quality metrics. 

• Drive continuous improvement across team structure, workflows, tooling, and design processes. 

Technical Ownership 

• Provide technical oversight of micro architecture specification and RTL development across all major blocks and subsystems. 

• Guide architectural feasibility studies, contribute to architectural trade offs and micro architecture definition. 

• Oversee the integration of third party IP, complex application specific blocks, and high performance custom designs. 

• Ensure robust design sign off through high quality linting, synthesis, CDC/RDC, timing closure and coverage metrics. 

Cross-Functional Collaboration 

• Partner closely with Physical Design, Verification, DFT, Architecture and Program Management teams to ensure cohesive planning and execution. 

• Foster strong communication across teams and global sites, ensuring alignment on priorities, risks and deliverables. 

• Support silicon bring-up and debug efforts by providing expert guidance and deep understanding of RTL behaviour and architecture. 

Execution & Delivery 

• Own delivery of high quality, on schedule RTL for multiple parallel silicon programs. 

• Establish scalable project planning and tracking practices, including resource planning and risk mitigation. 
• Champion design automation and infrastructure improvements to accelerate productivity and improve design quality. 

Essential Skills & Experience 

• Degree in Computer Science, Electrical Engineering or a related field; advanced degree preferred. 

• Extensive experience in digital logical design, micro-architecture and RTL development for large scale, high performance silicon projects. 

• Proven success leading and developing technical teams in a semiconductor environment. 

• Deep expertise in SystemVerilog or VHDL and familiarity with modern digital design flows. 

• Strong ability to diagnose and resolve complex design issues, including via scripting/programming (Python, Tcl, etc.). 

• Demonstrated excellence in cross functional leadership and communication across global teams. 

• Strong organisational skills with ability to manage multiple priorities and drive execution in fast-paced environments. 

Desirable Experience 

• Processor or accelerator micro architecture. 

• High-speed serial interfaces and complex, high bandwidth IP blocks. 

• Arithmetic pipeline design and floating point datapaths. 

• Advanced synthesis, timing analysis, power analysis, and logical equivalence checking. 

• Design-for-test methodologies. 

• Power integrity and silicon device level understanding. 

• Experience with silicon bring-up and post-silicon validation. 

• Program planning and multi-project execution leadership. 

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary 

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems

The Team

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. 

Responsibilities and Duties 

• Develop, own, and maintain tools and services to support AI research and engineering teams 

• Deploy and maintain services with Kubernetes and Docker 

• Manage our Cloud Infrastructure using tools such as Terraform 

Candidate Profile  

Essential: 

• Knowledge of Python 

• Familiarity with cloud services (e.g. AWS) 

• Experience managing or developing in Linux environments 

• Understanding of CI/CD principles 

• Experience using Kubernetes (k8s) 
  
• Experience of one of the following:
  
  
• maintaining machine learning applications.
  
  
• deploying ML orchestration tools (e.g. NV Ray, KFP, SkyPilot).
  
  
• managing ML accelerator hardware (e.g. DCGM).

Desirable 

• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) 

• Experience with GitHub Actions 

• Experience with modern observability tooling (e.g. Prometheus) 

• Experience with Grafana 

• Knowledge of Go/Java/C++ (or similar language)

  Benefits

  In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

  Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About us

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a research intern at Graphcore, you will advance AI research and investigate new ideas that push the limits on important AI/ML problems. Specialised hardware has driven progress in AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to this exciting field. We’re looking for candidates who are keen scientists and engineers, with the theoretical and practical skills needed for impactful AI research.

During your internship, you’ll investigate a research question that relates to machine learning or accelerated computation. Practically, this means designing experiments, implementing models and algorithms, exploring data and presenting results, with the aim to present work publicly to the wider research community. You will be largely self-directed in your research activity, with freedom to pursue the most promising approach, and with the benefit of appropriate mentoring and guidance.

Our team is interested in numerous topics across the field, including (but not limited to) efficient training and inference, improved model capabilities in the areas of factuality and reasoning, image and video generation, world models and molecule generation for life science applications.

The Team

Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world.

Candidate profile

We’re looking for technically-minded, highly-motivated and adaptable problem-solvers who can thrive in our collaborative team.

Essential

• A PhD student working in the field of Machine Learning and Artificial Intelligence, or be pursuing a Masters degree in a relevant field with demonstrable research experience (for example, interesting ML publications);
• Able to demonstrate your coding skills (Python, C++), for example through projects or previous work experience, and have experience of algorithm implementation in machine learning frameworks such as PyTorch;
• Passionate about the field of AI, both theory and practice, with a keen interest to continue learning.

We are excited to hear about your research! Please provide a short summary of a recent project with your application (and we’d love to hear about any other relevant work).

Benefits

In addition to a competitive salary, our centrally located offices provide a well-stocked kitchen with healthy food, drinks and snacks and our very own barista (Bristol only for now, but we have great coffee everywhere). We have an active social scene too: cycling, yoga, running, board games, table tennis, football, to name a few.

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.  

Job Summary

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

Senior: PLN 260,400 - 352,200
Staff: PLN 350,700 - 474,400
Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

Benefits

In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

About Graphcore

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

The Team:

The verification team sits within the Silicon design team and is responsible for ensuring that the RTL created by the logical design team and used by the physical design team matches the architecture specification for Graphcore silicon. The silicon verification engineer is responsible for verification activities within Graphcore, helping the team meet the company objectives for quality silicon delivery.

Responsibilities

• Verification planning, specification and closure of functional coverage
• Providing feedback to architects
• Test generation and failure diagnosis/triage
• Contributing to shared verification infrastructure
• Ensuring good communication between sites

Essential skills:
• Verification experience in relevant industry
• Proven leadership and planning skills
• Highly motivated, a self starter, and a team player
• Ability to work across teams and programming languages to find root causes of deep and complex issues
• Experience of the verification process applied in CPU and/or ASIC environments
• System Verilog, Python, C++, Linux

Desirable skills:
• UVM
• SVA
• Assembly languages
• LLVM, GCC
• DVCS e.g. Git
• SGE or other DRMS
• XML and XPath/XSLT
• Web programming – HTML/DOM, Javascript, SQL  

Benefits: 

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments  

We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know. 

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary

Applicants for this role should have strong experience working with machine learning systems and frameworks, along with a solid understanding of core AI concepts and model behaviour. The role centres on testing, validating, and benchmarking a complex ML software stack, with a particular focus on performance, reliability, and correctness across modern AI workloads.

The ideal candidate is an experienced ML engineer who understands how contemporary models are trained and executed, and who has hands-on experience debugging functional and performance issues in ML systems. This person will be comfortable working with industry-standard frameworks and state-of-the-art models, bringing them up on internal infrastructure, and collaborating closely with software and hardware teams in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware.

The Team

The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to upstream open-source projects and collaborating across the wider software organization. 

Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. 

Responsibilities and Duties

• Benchmark ML models and frameworks, analysing results to identify regressions, performance bottlenecks, and correctness issues. 
• Work hands-on with industry-standard ML frameworks to validate functionality and performance across different execution environments. 
• Build and maintain automated testing and benchmarking pipelines targeting simulators, emulators, and physical hardware. 
• Collaborate closely with software teams to ensure adequate test coverage for new and existing features. 
• Develop tooling and scripts (primarily in Python) to support testing, benchmarking, and functional reporting. 
• Take ownership over aspects of our testing and infrastructure, owning the roadmap and driving innovation independently.

Candidate Profile

Essential:

• Experience working in Machine Learning or ML-adjacent engineering roles. 
• Strong foundation in core AI and ML concepts (e.g. neural networks, training vs inference, numerical precision, performance trade-offs). 
• Hands-on experience with one or more major ML frameworks such as PyTorch, TensorFlow, JAX, or similar. 
• Strong proficiency in Python for ML workflows, experimentation, and automation. 
• Experience designing, running, and analysing ML benchmarks or experiments. 
• Experience working in Linux environments. 
• Strong analytical and debugging skills, with the ability to reason about model behaviour and system performance. 
• Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. 

Desirable

• Experience with MLOps pipelines, model deployment, or production ML systems. 
• Familiarity with performance analysis, profiling tools, or numerical accuracy validation. 
• Exposure to distributed training or inference systems. 
• Experience with hardware-accelerated ML, compilers, or system-level performance considerations. 
• Familiarity with CI/CD systems used for ML workflows. 
• Experience contributing to open-source ML frameworks or tooling. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary

Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices.

The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware

The Team

The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to upstream open-source projects and collaborating across the wider software organization. 

Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. 

Responsibilities and Duties

• Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack.
• Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience.
• Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware.
• Create representative ML workloads and gain insights from their execution. (Numerical accuracy, performance analysis and benchmarking).
• Work closely with all Software development teams, supporting a culture of quality, security and maintainability.
• Review code and designs, setting a high bar for software engineering best practices.
• Mentor and support junior engineers, helping raise the overall technical capability of the team.
• Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. 

Candidate Profile

Essential:

• Experience in production-quality software engineering roles.
• Strong software design and architecture skills, with experience working on large or complex systems.
• Strong proficiency in Python, including experience building and maintaining production codebases.
• Solid experience with CI/CD systems and automated testing (preferably GitHub-based workflows).
• Experience working in Linux environments.
• Familiarity with C or C++, with the ability to read, debug, and reason about low-level code when needed.
• Proven ability to mentor junior engineers and influence engineering practices within a team.
• Strong problem-solving skills and a proactive, self-directed approach to work.
• Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. 

Desirable

• Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow
• Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines
• Experience working with hardware simulators or emulators (e.g. QEMU).
• Experience developing for or working with FPGA-based systems.
• Experience with people management or mentoring 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.  

Job Summary

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems.

The Team

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible.

Responsibilities and Duties

• Develop, own, and maintain tools and services to support the software build and release process
• Deploy and maintain services with Kubernetes and Docker
• Manage our Cloud Infrastructure using tools such as Terraform
• Support the technical development of junior and graduate engineer
• Embody a strong engineering discipline for high reliability and minimal toil 

Candidate Profile 

Essential: 

• Knowledge of Python/Go/C++ (or similar language) 

• Experience deploying services in the cloud (AWS preferred) 

• Deep understanding of Linux environments 

• Native user of CI/CD for production deployments 

• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) 

Desirable 

• Experience using Kubernetes (k8s) or OpenStack 

• Experience with GitHub Actions 

• Experience with build tools (e.g. CMake) 
• Experience with modern observability tooling (e.g. Prometheus) 
• Experience with Grafana 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We are looking for high-quality silicon physical design engineers to complement our existing exceptional team. We have a range of roles available with focus on those with extensive ranges of skills and experience although exceptional candidates with less experience will be considered. We want people who work collaboratively and proactively within a team focusing on collectively achieving our goals and creating the right engineering solutions. Good communication is essential, as is the ability to adapt and learn – we value the right characteristics more than specific experience.

For the successful candidate we offer an open, honest and collaborative environment working on leading-edge designs at the most advanced nodes. Our engineers are not siloed, and they are trusted and encouraged to take ownership of their designs and problem solutions. You will become part of a team that looks for improvements to everything we do: our designs, our flows, our methodologies, our infrastructure.

The Team

The physical design team sits within the wider silicon design team which includes RTL, verification and DFT and with whom we collaborate extensively. Our work additionally involves strong links with architecture, packaging and product engineering. We are responsible for working with those teams to create high-quality RTL and then to build the final chip layout (e.g. GDSII) ensuring a signoff-quality design is delivered to the Foundry (e.g. TSMC).

Responsibilities and Duties

Applicants will be expected to contribute technically to the development of Graphcore's next generation of AI superchips, focusing on achieving robust, high-performance and power-efficient designs in leading-edge process technologies while meeting ambitious development schedules. Contributions are expected to span multiple areas and involve:

• using state-of-the-art EDA tools and in-house Graphcore flows to deliver final designs that are of sign-off quality
• enhancing existing flows and in-house tools/APIs to support new features and/or methodologies
• analysis and/or debugging of complex engineering problems leading to workable solutions
• developing an understanding of emerging technical issues and applying that knowledge to optimise in-house flows and methodologies

Candidates will be expected to work closely both with other teams within Graphcore and with 3rd party support engineers/contractors, ensuring good communication between all parties, and to contribute meaningfully to the overall efficiency and success of the Physical Team.

Candidate Profile

Essential Skills and Experience:

• A Degree in Electronic/Electrical Engineering, Computer Science or related subject
• Be highly motivated, a self-starter, and a team player
• Enjoy taking responsibility and improving skills and knowledge
• Excellent problem-solving skills for debugging issues seen and finding root causes
• Ability to program/script (required to solve design issues, typically in Tcl and Python)
• Experience in 7nm or smaller technologies
• A good breadth of experience with physical design flows including: Floorplanning/Budgeting, Synthesis, Place and Route, Clock CTS, Timing Analysis, Logical Equivalence, Physical Verification (DRC/LVS/ERC)

Desirable Skills and Experience:

• In depth expertise in one or more aspects of physical design flows
• Structuring of builds to maximise PPA
• Silicon transistor knowledge including std cell libraries and/or memories
• 2D and 3D design (CoWoS, UCIe etc.)
• High speed, high power and/or full reticle chip design
• Ethernet, PCIe, LPDDR, HBM interfaces
• Power integrity and optimization
• 2nm or 3nm technologies
• Chip finishing (pad rings, chip level LVS/DRC/ERC)
• Design for test
• Team management
• Project Planning

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments

About Graphcore

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

The Team:

The verification team sits within the Silicon design team and is responsible for ensuring that the RTL created by the logical design team and used by the physical design team matches the architecture specification for Graphcore silicon. The silicon verification engineer is responsible for verification activities within Graphcore, helping the team meet the company objectives for quality silicon delivery.

Responsibilities

• Verification planning, specification and closure of functional coverage
• Providing feedback to architects
• Test generation and failure diagnosis/triage
• Contributing to shared verification infrastructure
• Ensuring good communication between sites

Essential skills:
• Verification experience in relevant industry
• Proven leadership and planning skills
• Highly motivated, a self starter, and a team player
• Ability to work across teams and programming languages to find root causes of deep and complex issues
• Experience of the verification process applied in CPU and/or ASIC environments
• System Verilog, Python, C++, Linux

Desirable skills:
• UVM
• SVA
• Assembly languages
• LLVM, GCC
• DVCS e.g. Git
• SGE or other DRMS
• XML and XPath/XSLT
• Web programming – HTML/DOM, Javascript, SQL  

Benefits: 

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments  

We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know. 

About Graphcore

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

The Team:

The verification team sits within the Silicon design team and is responsible for ensuring that the RTL created by the logical design team and used by the physical design team matches the architecture specification for Graphcore silicon. The Silicon Verification Lead is responsible for verification activities within Graphcore, helping the team meet the company objectives for quality silicon delivery.

Responsibilities

• Verification planning, specification and closure of functional coverage
• Providing feedback to architects
• Test generation and failure diagnosis/triage
• Contributing to shared verification infrastructure
• Ensuring good communication between sites

Essential skills:
• Verification experience in relevant industry
• Proven leadership and planning skills
• Highly motivated, a self starter, and a team player
• Ability to work across teams and programming languages to find root causes of deep and complex issues
• Experience of the verification process applied in CPU and/or ASIC environments
• System Verilog, Python, C++, Linux

Desirable skills:
• UVM
• SVA
• Assembly languages
• LLVM, GCC
• DVCS e.g. Git
• SGE or other DRMS
• XML and XPath/XSLT
• Web programming – HTML/DOM, Javascript, SQL  

Benefits: 

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments  

We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know. 

About Graphcore 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.

Job Summary

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems.

The Team

An exciting opportunity to join a new team within the Software Operations group. The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learning Software Stack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments.  

Responsibilities and Duties 

• Developing our internal tooling for building, testing and integrating together the ML Software Stack 

• Developing tools and technical processes for Software Releases 

• Providing guidance to developers on best build practices and dependency management 

• Communicating regularly with developers, tech leads, and software architects about aspects of the ML Software Stack 

• Working closely with QA and the ML Software Stack to resolve any integration issues 

• Contributing fixes towards the ML Software Stack 

 Essential: 

• Knowledge of Python/C++ (or similar language) 

• Understanding of Build Processes and Frameworks 

• Experience working in Linux environments 

• Good communication skills  

Desirable: 

• Experience with Remote Caching and Execution (e.g. Bazel) 

• Experience with Build Tools (e.g. CMake) 

• Experience with Testing Frameworks (e.g. PyTest, GoogleTest) 

• Experience with Integration Tools (e.g. Buildstream) 

• Experience working within the Software Development Lifecycle (SDLC) 

• Experience with building and using containers (e.g. Docker, Podman) 

• An understanding of Software Architecture patterns 

  Benefits

  In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

  Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.  

Job Summary  

Reporting to a Team Lead in the frameworks team you will play a pivotal role in designing, implementing, optimising, maintaining and supporting the software required to ensure the machine learning accelerators that Graphcore develop enjoy first-class support in state-of-the-art machine learning frameworks such as PyTorch and Triton (note: “Triton” here refers to the Triton language/compiler and not the inference framework).  

This role sees you joining our Triton team, where you will be part of a SCRUM team working on delivering new features, optimise performance, reviewing code changes, writing technical documentation, working with upstream communities, maintaining the code base and supporting users.  

In this role you will closely collaborate with other engineers, both within the Triton team as well as other engineering teams. You help the team coordinate and deliver complex, open-ended technical tasks. You are pro-active and an excellent communicator. You will develop deep expertise in the Triton project and will (in time) contribute to the team’s technical direction and processes. You understand the importance of managing code quality and code complexity and balancing this against the need to deliver business outcomes. 

Note that the job title and associated benefits will be tailored to the successful candidate’s level of experience at the job offer stage to one of Software Engineer, Staff Engineer, Senior Staff Engineer, Principal Software Engineer or Senior Principal Software Engineer. Note that as the machine learning software landscape is quite fast moving and as such flexibility is essential – over time you may be asked to work on teams other than Triton. 

The Team 

The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness and learning. All our software teams follow agile working practices, and we care deeply about both ease-of-use as well as performance. We work closely work with other Graphcore teams as well as leading open-source communities.  

By joining us, you’ll join our exciting journey on the cutting edge of the machine learning industry. Your contributions will make a real difference – enabling machine learning engineers and researchers to unlock the full potential of Graphcore’s hardware.  

Responsibilities and Duties 

• Designing and implementing new features & maintaining and supporting existing features.
• Developing and maintaining unit tests, component tests and integration tests.
• Optimising the software stack to make it more performant for our users.
• Managing complex technical tasks with cross-team dependencies.
• Managing code quality, code complexity and technical debt.
• Provide technical leadership, contributing the team’s technical direction and processes.
• Contributing to documentation, including user manuals and tutorials.
• Conducting code reviews.
• Resolving regressions, performance issues and software defects.
• Coaching and mentoring other team members.
• Contributing to a collaborative team culture.
• Contribute to continuous improvements to improve ways of working.
• Working with upstream open-source development teams. 

Candidate Profile 

Essential: 

• Demonstrable strong software engineering skills.
• Demonstrable experience of Python/C++ development.
• Demonstrable experience of compiler development. 

Desirable: 

• Experience with MLIR (or more generally: SSA-based IRs) is highly desirable. 
• Demonstrable knowledge of AI/ML.
• Understanding of computing architectures.
• Experience of maintaining and supporting a complex code base.
• Experience in profiling / optimising high performance code.
• Experience of writing ML kernels.
• Experience of using and/or development of ML Frameworks.
• Experience in a computationally intensive engineering field. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.  

Summary 

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed system

The Team

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. 

Responsibilities and Duties 

• Develop, own, and maintain tools and services to support the software org 

• Deploy and maintain Kubernetes infrastructure to develop, test, and scale Graphcore hardware and its software stack 

• Manage our Cloud Infrastructure using tools such as Terraform 

Candidate Profile 

Essential: 

• Practical experience developing in Go 

• Familiarity with cloud services (AWS preferred) 

• Experience managing or developing in Linux environments 

• Understanding of CI/CD principles 

• Strong experience of Kubernetes (k8s) development and deployment 

Desirable 

• Experience developing Kubernetes Controllers 

• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) 

• Experience with GitHub Actions 

• Experience with distributed HPC systems 

• Experience with modern observability tooling (e.g. Prometheus) 

• Knowledge of Python/C++ (or similar language) 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

Senior Solutions Architect

Role Summary

Our mission at HubSpot is to help millions of organizations grow better. As a Senior Solutions Architect, you will partner with our most strategic customers to design scalable, AI-powered solutions that drive measurable business outcomes. You'll act as both a trusted technical advisor and hands-on builder, shaping multi-quarter platform strategies while delivering AI powered tools for our team and partners. Your work will directly drive increased platform adoption, accelerate customer usage of HubSpot's AI tools and capabilities, and create reusable solutions that elevate the broader Solutions ecosystem.

What You'll Do

Build

• Drive HubSpot AI adoption by designing, building, and delivering agentic workflows and LLM-powered solutions that create measurable improvements in customer outcomes and increase platform consumption.
• Accelerate stakeholder buy-in by developing working prototypes and proof-of-concept automations that demonstrate clear, quantifiable business value and move customers from evaluation to production.
• Multiply team impact by codifying successful technical patterns into libraries, playbooks, and scaffolds that increase delivery efficiency across the Solutions and Solutions Partner ecosystem.

Advise & Lead

• Increase platform depth and utilization by translating complex, multi-portal business needs into comprehensive, scalable solution strategies across the entire HubSpot ecosystem.
• Expand AI adoption and HubSpot credit consumption by leading solution design for large-scale HubSpot AI deployment projects, identifying opportunities to unify the platform and drive efficiency gains across the customer lifecycle.
• Secure long-term customer investment by developing and championing multi-quarter technical roadmaps, aligning solution choices to business objectives and building value cases that influence director-level and senior stakeholders.
• Solve customers' GTM challenges by owning solution design for complex, multi-hub engagements that deploy agentic AI, leveraging advanced CRM features, APIs, and the broader HubSpot ecosystem.
• Protect delivery outcomes by identifying and mitigating technical risks on high-impact projects, acting as the leading technical voice on product-stretching use cases.
• Shape the HubSpot platform by providing aggregated field insights to Product and Engineering teams that directly influence roadmap decisions.

What You'll Bring

Required Qualifications

• 5+ years of experience in solution architecture, technical consulting, or similar roles within a SaaS environment, with a track record of architecting and delivering complex, business-critical solutions.
• Hands-on experience with LLM tooling: RAG architectures, agent frameworks, prompt engineering, and context management. You have built agentic workflows, not just presented them.
• Strong fluency with APIs, system integrations, and architectural design for scalable and resilient solutions.
• Proven ability to connect technical solutions to business outcomes, and to build clear value cases that secure director-level and senior stakeholder buy-in on complex solution designs.
• Deep, cross-functional understanding of how enterprise systems and processes interconnect, with the ability to orchestrate end-to-end architectures across multiple platforms.
• Strong communication and collaboration skills across technical and non-technical audiences, with experience influencing director-level decisions using data and a clear articulation of trade-offs.
• Demonstrated ability to navigate ambiguity, scope complex problems, and deliver structured solutions in fast-moving environments.

Nice-to-Have Qualifications

• Familiarity with Python/Node.js for backend services, automation pipelines, or API integrations.
• Experience working with CRM platforms or go-to-market technology ecosystems, particularly HubSpot.
• Background in building reusable frameworks, internal tools, or scalable technical assets for broader team use.
• Experience contributing to product feedback loops or directly influencing product roadmaps.

Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day. 

You'll be building and maintaining our next-gen analytics data platform, taking ownership of data and transformations. 

CMT is looking for a Software Engineer I, Data Engineering to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.

Responsibilities: 

• Make contributions to the team using proper software and data engineering practices
• Assist in solving complex problems and transform them into business solutions 
• Help design and implement data platform with a focus on maintainability, usability, scalability, reliability, and performance 
• Implement and maintain ETL pipelines in Spark, SQL, and Python with automated testing based on the requirements 
• Participate in code and design reviews 
• Convert business needs and functional specifications into detailed technical specifications for data pipelines and systems 
• Assist in supporting production issues; this role will be subject to on-call responsibilities (mainly during business hours, as well as occasional nights and weekends) 
• Follow CMT’s development and operational standards and processes 
• Complete any additional tasks as they arise 

Qualifications: 

• Bachelor’s degree or equivalent years of experience and/or certification in Computer Science or related field or equivalent years of experience and/or certification 
• Ability to learn quickly and solve complex problems 
• Ability to collaborate in a team environment 
• Ability and willingness to participate in the team’s on-call rotation 
• Ability to do general development tasks on Linux and MacOS 
• Ability to write code in Python and SQL languages 
• Understanding of Agile development methodologies (specifically SCRUM) 
• User-level knowledge of issue tracking systems (specifically Jira) 
• Ability to commute to our Cambridge, MA office 3 days per week

Nice to Haves: 

• Some professional engineering experience preferred 
• Experience with data pipelines preferred 
• Experience with data platforms such as Databricks 
• AWS services such as S3, Glue, SNS, SQS, Kinesis, Redshift 
• Experience creating maintainingTerraform infrastructure-as-a-code, and Jenkins CI/CD pipelines
• Containerizing services using Docker 
• Instrumentation and correlation tracking/statistics with Datadog

Compensation and Benefits:

• Fair and competitive salary based on skills and experience, and annual performance bonus
• Equity may be awarded in the form of Restricted Stock Units (RSUs)
• Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
• Unlimited Paid Time Off including vacation, sick days & public holidays
• Flexible scheduling and work from home policy depending on role and responsibilities

Base Salary Range

• The base salary range for this position is: $92,900 to $116,100. This range is specifically for Cambridge, MA

Additional Perks:

• Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world
• Join an industry leader — 65 million drivers protected, powering 140+ programs across 25 countries
• Be part of the team inventing the future of mobility and road safety
• Move fast, own outcomes, do work that matters
• High ownership, small teams, and direct access to leadership — no layers between your work and its impact
• Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match
• Summer Fridays
• Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
• Comprehensive wellness, education, and employee assistance programs

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

About Cambridge Mobile Telematics:

Cambridge Mobile Telematics (CMT) is the world’s largest telematics and AI company for safer mobility. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, proactively identifies and reduces driving risk, leading to fewer crashes and injuries. To date, CMT’s technology has helped prevent over 126,000 crashes worldwide. CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims. Headquartered in Cambridge, MA, CMT operates globally with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia. Learn more at www.cmt.ai.

MORSE is seeking a skilled Full Stack Software Engineer to join one or more projects in big data, artificial intelligence, autonomous vehicle mission planning, decision systems, and their accompanying cloud applications. Our applications provide cutting-edge, algorithmic-based simulation, situational awareness, machine learning, analysis, and mission planning capabilities to a wide variety of DoD customers. As a member of a small interdisciplinary team of scientists, engineers, and software developers, you will follow Agile development processes and embrace DevSecOps to ensure fast and secure delivery of software services.

Responsibilities:

• Develop and maintain web applications hosted on cloud infrastructure

• Collaborate with infrastructure engineers to containerize applications for cloud deployment

• Implement web page UIs from design documents

• Write backend APIs that interact with cloud services

• Work closely with team members to design, develop, and deploy software applications

• Stay up-to-date with the latest web development and cloud computing trends

• Contribute to the development of new code bases that are heavily object-oriented, extensible, and maintainable

Requirements:

• U.S. Citizenship and the ability to obtain a U.S. Security Clearance (Secret or Top Secret)

• 5+ years of software engineering experience

• Experience with React and front end development

• Experience with Python

• Knowledge of Cloud technologies, including AWS, Azure, or GCP

• Proficiency with Docker and Kubernetes

• Experience with Agile development

• BS or MS in computer science or equivalent degree, or significant professional experience

Desired Skills:

• Experience with HCI and web design

• Experience with microservice architecture

• Experience with IAC tools like Terraform or CloudFormation

• Experience with scalable cloud infrastructure

MORSE is seeking a skilled Full Stack Software Engineer to join one or more projects in big data, artificial intelligence, autonomous vehicle mission planning, decision systems, and their accompanying cloud applications. Our applications provide cutting-edge, algorithmic-based simulation, situational awareness, machine learning, analysis, and mission planning capabilities to a wide variety of DoD customers. As a member of a small interdisciplinary team of scientists, engineers, and software developers, you will follow Agile development processes and embrace DevSecOps to ensure fast and secure delivery of software services.

Responsibilities:

• Develop and maintain web applications hosted on cloud infrastructure

• Collaborate with infrastructure engineers to containerize applications for cloud deployment

• Implement web page UIs from design documents

• Write backend APIs that interact with cloud services

• Work closely with team members to design, develop, and deploy software applications

• Stay up-to-date with the latest web development and cloud computing trends

• Contribute to the development of new code bases that are heavily object-oriented, extensible, and maintainable

Requirements:

• U.S. Citizenship and the ability to obtain a U.S. Security Clearance (Secret or Top Secret)

• 5+ years of software engineering experience

• Experience with React and front end development

• Experience with Python

• Knowledge of Cloud technologies, including AWS, Azure, or GCP

• Proficiency with Docker and Kubernetes

• Experience with Agile development

• BS or MS in computer science or equivalent degree, or significant professional experience

Desired Skills:

• Experience with HCI and web design

• Experience with microservice architecture

• Experience with IAC tools like Terraform or CloudFormation

• Experience with scalable cloud infrastructure

MORSE is seeking a skilled Full Stack Software Engineer to join one or more projects in big data, artificial intelligence, autonomous vehicle mission planning, decision systems, and their accompanying cloud applications. Our applications provide cutting-edge, algorithmic-based simulation, situational awareness, machine learning, analysis, and mission planning capabilities to a wide variety of DoD customers. As a member of a small interdisciplinary team of scientists, engineers, and software developers, you will follow Agile development processes and embrace DevSecOps to ensure fast and secure delivery of software services.

Responsibilities:

• Develop and maintain web applications hosted on cloud infrastructure

• Collaborate with infrastructure engineers to containerize applications for cloud deployment

• Implement web page UIs from design documents

• Write backend APIs that interact with cloud services

• Work closely with team members to design, develop, and deploy software applications

• Stay up-to-date with the latest web development and cloud computing trends

• Contribute to the development of new code bases that are heavily object-oriented, extensible, and maintainable

Requirements:

• U.S. Citizenship and the ability to obtain a U.S. Security Clearance (Secret or Top Secret)

• 5+ years of software engineering experience

• Experience with React and front end development

• Experience with Python

• Knowledge of Cloud technologies, including AWS, Azure, or GCP

• Proficiency with Docker and Kubernetes

• Experience with Agile development

• BS or MS in computer science or equivalent degree, or significant professional experience

Desired Skills:

• Experience with HCI and web design

• Experience with microservice architecture

• Experience with IAC tools like Terraform or CloudFormation

• Experience with scalable cloud infrastructure

MORSE is searching for an experienced Data Scientist with expertise in data analysis, data science, and algorithm development in one or more of a variety of fields including visual classification, big data, natural language processing, machine translation, time sequenced data, and advanced metrics. You will be part of teams performing Test and Evaluation (T&E) of AI and machine learning models and algorithms to give national security customers insights into the capabilities of applying AI to solve real world problems.

Responsibilities:

• Perform data analysis, test and evaluation of existing machine learning algorithms, and development of advanced algorithms to model physical and autonomous systems,

• Work with MORSE’s current team of engineers to transition algorithms to software applications and real-time embedded systems.

• Support the transition of the developed algorithms to software using one or more programming languages such as Python, C, C++, Java, or MATLAB.

• Work with customers, stakeholders, and other vendors to present concepts, analyses, and test results

• Present a path forward and solutions to solve complex data problems

• Research and identify new methods for machine learning and data analysis

Requirements:

• US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance

• Masters or Ph.D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field

• 5+ years of experience in Data Science or Analysis

• Solid understanding of data analysis, physics, linear algebra, statistics, algorithms, optimization, and/or machine learning methods

• Proficiency in one or more programming languages like Python, Matlab, C, or C++

• Demonstrated experience with large, multidimensional, or complex data sets in one or more of the following areas: parsing, cleaning, storage strategies, provenance tracking, database formats, and parallelized data transformations

• Good communication skills

• Self-starter and driven

• Prior experience in defense is a plus

MORSE is searching for a Data Scientist with expertise in data analysis, data science, and algorithm development in one or more of a variety of fields including visual classification, big data, natural language processing, machine translation, time sequenced data, and advanced metrics. You will be part of teams performing Test and Evaluation (T&E) of AI and machine learning models and algorithms to give national security customers insights into the capabilities of applying AI to solve real world problems.

Responsibilities:

• Perform data analysis, test and evaluation of existing machine learning algorithms, and development of advanced algorithms to model physical and autonomous systems,

• Work with MORSE’s current team of engineers to transition algorithms to software applications and real-time embedded systems.

• Support the transition of the developed algorithms to software using one or more programming languages such as Python, C, C++, Java, or MATLAB.

• Work with customers, stakeholders, and other vendors to present concepts, analyses, and test results

• Present a path forward and solutions to solve complex data problems

• Research and identify new methods for machine learning and data analysis

Requirements:

• US CITIZENSHIP REQUIRED and an active Top Secret Security Clearance with SCI eligibility 

• Masters or Ph.D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field

• 3+ years of experience in Data Science or Analysis

• Solid understanding of data analysis, physics, linear algebra, statistics, algorithms, optimization, and/or machine learning methods

• Proficiency in one or more programming languages like Python, Matlab, C, or C++

• Demonstrated experience with large, multidimensional, or complex data sets in one or more of the following areas: parsing, cleaning, storage strategies, provenance tracking, database formats, and parallelized data transformations

• Good communication skills

• Self-starter and driven

• Prior experience in defense is a plus

Job Summary

As an Aerospace Algorithms Engineer at MORSE you will be working on a broad set of applications developing novel physics, statistical, and mathematical models for use in mission planning tools used by military personnel and first responders. MORSE is looking for engineers with a strong background in physics, aerospace, robotics, math, and statistics who are also able to develop their algorithms in software to function efficiently and be readily testable.

Responsibilities:

• Develop and own algorithms throughout their lifecycle, including conception, development, documentation, deployment, and testing.

• Process and analyze raw data

• Simulate and validate algorithmic performance using dynamic systems.

• Present technical work through white papers, analysis test reports, and oral presentations.

• Collaborate with cross-functional teams to ensure seamless integration of algorithms into software solutions.

Skills and Requirements

The candidate must have the ambition to own mission planning algorithms for their entire lifecycle: conception of the solution, development, documentation, deployment in software, and testing. Most importantly, the candidate must be passionate about developing solutions that are fieldable!

• US CITIZENSHIP REQUIRED or the ability to obtain a U.S. Security Clearance.

• MS or PhD in Aerospace Engineering, Robotics, Physics or other relevant field.

• Proficiency in Python algorithm and software development practices.

• Strong background in physics, math, and statistics.

• Experience with developing algorithms and simulations.

• Experience simulating dynamic systems to test and validate algorithmic performance

• Experience describing systems via equations of motion derived from first-principle engineering analysis

• Experience presenting technical work through white papers, analysis test reports, and oral presentations.

• 5+ years of experience

Job Summary

As an Aerospace Algorithms Engineer at MORSE you will be working on a broad set of applications developing novel physics, statistical, and mathematical models for use in mission planning tools used by military personnel and first responders. MORSE is looking for engineers with a strong background in physics, aerospace, robotics, math, and statistics who are also able to develop their algorithms in software to function efficiently and be readily testable.

Responsibilities:

• Develop and own algorithms throughout their lifecycle, including conception, development, documentation, deployment, and testing.

• Process and analyze raw data

• Simulate and validate algorithmic performance using dynamic systems.

• Present technical work through white papers, analysis test reports, and oral presentations.

• Collaborate with cross-functional teams to ensure seamless integration of algorithms into software solutions.

Skills and Requirements

The candidate must have the ambition to own mission planning algorithms for their entire lifecycle: conception of the solution, development, documentation, deployment in software, and testing. Most importantly, the candidate must be passionate about developing solutions that are fieldable!

• US CITIZENSHIP REQUIRED or the ability to obtain a U.S. Security Clearance.

• MS or PhD in Aerospace Engineering, Robotics, Physics or other relevant field.

• Proficiency in Python algorithm and software development practices.

• Strong background in physics, math, and statistics.

• Experience with developing algorithms and simulations.

• Experience simulating dynamic systems to test and validate algorithmic performance

• Experience describing systems via equations of motion derived from first-principle engineering analysis

• Experience presenting technical work through white papers, analysis test reports, and oral presentations.

• 5+ years of experience

MORSE is looking for an Autonomy Software Engineer to research, develop and prototype novel autonomy software to enable pre-mission planning and operation of novel aircraft and other autonomous systems. MORSE is seeking an aeronautical, aerospace, mechanical, or electrical engineer in optimization, estimation theory, and/or guidance, navigation and control (GNC) algorithms. Responsibilities will include autonomy development from conceptualization, including the selection and evaluation of sensors, implementation, including software development, and evaluation, including data analysis. The role will involve developing and testing code in a simulation and HWIL environment as well as field tests of the implemented autonomy software. The ideal candidate will have a strong foundation in physics, math, statistics, and computer science, as well as experience handling electronic hardware and machine learning. The candidate will work with a multidisciplinary team in an agile environment to rapidly design, prototype and test autonomous systems.

Responsibilities:

• Research, develop, and prototype novel autonomy software and algorithms for autonomous systems

• Develop and evaluate autonomy software from conceptualization to implementation, including selection and evaluation of sensors, software development, and data analysis

• Design, develop, and test algorithms for autonomous systems, including sensor fusion, guidance, navigation, and control

• Develop and test code in simulation and Hardware-In-the-Loop (HWIL) environments, as well as participate in field tests of implemented autonomy software on vehicles and systems

• Collaborate with a multidisciplinary team in an agile environment to rapidly design, prototype, and test autonomous systems

Requirements:

• US CITIZENSHIP REQUIRED or the ability to obtain a U.S. Security Clearance.

• The candidate must have experience developing real-world solutions with computational constraints, measurement errors, and modeling uncertainty

• 5+ years of Autonomy, Guidance, Navigation and or Controls experience 

• Experience with developing both algorithms and the simulations for test and validation

• Expertise in positioning, navigation, and timing, particularly for aircraft

• The ideal candidate will have experience working on complex, multi-disciplinary R&D programs

• BS. or M.S. (preferred) in Aeronautical/Aerospace, or Electrical Engineering (Control or Signal Processing focus)  or equivalent degree/major

Desired Qualifications:

• Expertise in sensor fusion such as Kalman filtering and experience with multiple sensing modalities

• Experience with designing and integration of autonomy hardware (sensors, flight controllers)

• Experience with C++ and Python software languages and software design best practices.

• Experience with sensor modeling, simulation, and performance analysis

• Experience in ML model development and deployment using open-source tooling such as PyTorch and ONNX

• Ability to lead a small multi-disciplinary team is a plus

MORSE is seeking highly motivated and talented Software Engineers with Cloud skills to join our innovative team, supporting various projects that provide critical AI, machine learning, simulation, situational awareness, and mission planning capabilities to a diverse range of Department of Defense (DoD) customers.

As a Cloud Software Engineer at MORSE, you will have the opportunity to work on cutting-edge technology, contributing to the success of our applications and making a meaningful impact on our customers. You will collaborate with a teams of engineers and data scientists to design, develop, and deliver high-quality software products that meet the highest standards of quality, scalability, and reliability.

Responsibilities:

• Design and develop scalable, efficient, and reliable software applications using Python 

• Develop and maintain cloud infrastructure 

• oversee the deployment of cloud services and compliance to security guidelines

• Participate in design reviews, code reviews, and pair programming to ensure high-quality code and knowledge sharing

• Stay up-to-date with the latest software engineering trends, tools, and technologies

• Collaborate with cross-functional teams to deliver high-quality software products, ensuring seamless integration and deployment

• Contribute to the development of new codebases that emphasize object-orientation, modularity, and maintainability

Requirements:

• US citizenship and the ability to obtain a U.S. security clearance (Secret, Top Secret, or TS/SCI)

• Expertise in Python 

• 1+ years of experience working with AWS, Azure or GCP.

• Experience with Terraform or Cloud Formation

• Strong understanding of relational databases and version control systems (e.g., Git)

• Experience with Docker, Docker-compose, or Kubernetes

• Familiarity with Agile development methodologies (Scrum or Kanban) and microservice architecture

• Strong communication skills and self-motivation

• Bachelor's or Master's degree in Computer Science or a related field (or significant professional experience)

• 3+ years of software development experience

MORSE is seeking highly motivated and talented Software Engineers with Cloud skills to join our innovative team, supporting various projects that provide critical AI, machine learning, simulation, situational awareness, and mission planning capabilities to a diverse range of Department of Defense (DoD) customers.

As a Cloud Software Engineer at MORSE, you will have the opportunity to work on cutting-edge technology, contributing to the success of our applications and making a meaningful impact on our customers. You will collaborate with a teams of engineers and data scientists to design, develop, and deliver high-quality software products that meet the highest standards of quality, scalability, and reliability.

Responsibilities:

• Design and develop scalable, efficient, and reliable software applications using Python 

• Develop and maintain cloud infrastructure 

• oversee the deployment of cloud services and compliance to security guidelines

• Participate in design reviews, code reviews, and pair programming to ensure high-quality code and knowledge sharing

• Stay up-to-date with the latest software engineering trends, tools, and technologies

• Collaborate with cross-functional teams to deliver high-quality software products, ensuring seamless integration and deployment

• Contribute to the development of new codebases that emphasize object-orientation, modularity, and maintainability

Requirements:

• US citizenship and the ability to obtain a U.S. security clearance (Secret, Top Secret, or TS/SCI)

• Expertise in Python 

• 1+ years of experience working with AWS, Azure or GCP.

• Experience with Terraform or Cloud Formation

• Strong understanding of relational databases and version control systems (e.g., Git)

• Experience with Docker, Docker-compose, or Kubernetes

• Familiarity with Agile development methodologies (Scrum or Kanban) and microservice architecture

• Strong communication skills and self-motivation

• Bachelor's or Master's degree in Computer Science or a related field (or significant professional experience)

• 3+ years of software development experience

As an Embedded Software Engineer at MORSE, you will be developing software to support Unmanned Aircraft Systems (UAS) R&D programs. In this role, you will be involved with all aspects of the engineering design cycle from concept through deployment.

Your responsibilities will include integrating novel algorithms with flight software to introduce new capabilities for autonomous aircraft, setting up and performing simulations to support integration efforts, and supporting flight tests to evaluate algorithm performance. You will play a critical role in flight testing by defining test objectives, configuring software on aircraft avionics, and operating ground stations to monitor and control aircraft in flight.

Working alongside experts in sensing and control technologies, you will help integrate cutting-edge capabilities into novel platforms and support testing in both lab and field environments. In this position, you are motivated to focus on the intersection of the user, software, and hardware to ensure that deployed autonomous systems can execute their mission successfully while exceeding the customer's expectations.

Responsibilities

• Develop embedded software for novel fixed wing and multi-rotor unmanned aerial vehicles

• Developing new software functionality for autonomous UAV flight by modifying PX4 autopilot with new software

• Integrating novel autonomy algorithms into UAV flight software, migrating from Python to C/C++ if necessary

• Updating and executing simulation software to test and evaluate novel algorithms

• Supporting the development of preflight planning tools in Python that interface with data and UI tools via web API

• Interface with technology SMEs to integration new algorithms and subsystems into vehicle platforms.

• Support flight tests of UAS and UAVs. Including setup, system checkouts, ground station operation, log retrieval and analysis, and debugging.

• Communicate design status, test results, and suggestions in a timely and efficient manner

Requirements

The ideal candidate will have a strong and diverse background with an emphasis on software development for embedded systems.  Prior experience working on multi-disciplinary projects that exist at the confluence of mechanical, electrical, systems, and software engineering is strongly desired.  Finally, the ideal candidate should be able to decompose complex problems into their constituent components, devise plans for executing each piece of the problem, and follow-through on solution development, test, and verification.

• BS or MS in Software Engineering, Computer Science, Electrical Engineering, or related field

• 5+ years of embedded software development and experience deploying embedded software

• Strong proficiency with C/C++, Python, and Rust 

• Familiarity with PX4, Ardupilot, or similar. Integration into commercial platforms and configuration for flight.

• Experience with RTOS and embedded communication protocols (UART, I2C, CAN, etc)

• Experience with control hardware setup. Examples include telemetry harness setup, radio configuration, power system installation and monitoring

• Strong debugging and troubleshooting skills

• Willingness and desire to travel for, and participate in, field tests up to 10% of each year

• US CITIZENSHIP REQUIRED and ability to obtain a U.S. Security Clearance

As a Frontend Software Engineer at MORSE, you will play a key role in designing, developing, and deploying web-based applications that support AI model development, simulation, situational awareness, and mission planning capabilities for our DoD customers. You will work closely with our HCI and UX engineers to design intuitive UIs and collaborate with software engineers to implement them. This is an exciting opportunity to work with a talented team and build software for human users. We use a variety of languages including React, React Native, Kotlin, Python, and more.

Responsibilities:

• Design, develop, and deploy web-based applications using React, React Native, Typescript, Python and other technologies

• Collaborate with HCI and UX engineers to design intuitive UIs and implement them with software engineers

• Work on a team developing new code bases that are object-oriented, extensible, and maintainableStay up-to-date with the latest trends and technologies in frontend development

• Participate in code reviews and contribute to the improvement of the codebase

Requirements:

• US CITIZENSHIP REQUIRED or the ability to obtain a U.S. Security Clearance

• 5+ years experience working on front end development and UI/UX for web applications

• Knowledge of React, Typescript, JavaScript, and Python

• Knowledge of test driven development (TDD)

• Experience with design patterns and a passion for developing user-centric applications with an eye for design principles

• Experience with version control systems Git and/or Subversion

• Experience working with teams using Agile software development

• BS or MS (preferred) in computer science or equivalent degree, and at least 5 years of experience

MORSE is seeking a Human Computer Interaction Engineer to conduct user research, design, prototype, and evaluate systems under development. As a Human Computer Interaction Engineer, you will assist in design efforts for novel, cutting edge mobile, web, and software applications in artificial intelligence, machine learning, test & evaluation, and aerospace. You may also do front end software development, Many of the systems we develop are the first of their kind and are highly specialized for the military personnel who use them. We strongly believe that user-centered design is the only methodology to properly develop these systems.

This role will require superior communication and presentation skills. This person will be expected to conduct user research exercises to gain domain knowledge/insights and evaluate prototypes. This person must also be able to convey ideas/concepts to the rest of the development team and to stakeholders. This role requires a design background in some shape or form: either formal training or experience designing applications. Also, the ability to convey ideas visually through sketches, prototypes, or adobe tools is a necessity. Finally, this position requires candidates to have software development skills. Being able to implement designs (in code) is highly desired for this position.

RESPONSIBILITIES:

• Collaborate with cross-functional teams to define and design user experiences for Mobile, Desktop, and Web applications

• Design and development of software applications and software implementation of user interaction/experience designs

• Conduct user research exercises to gain domain knowledge/insights and evaluate prototypes

• Design, prototype, and evaluate novel data visualizations

REQUIREMENTS:

• US Citizenship required and ability to obtain a US Security Clearance.

• BS  degree in Information Design, Human Computer Interaction, Computer Science, Data Science, Engineering, or related subject

• An Interest in User Interface (UI) Design, User Experience (UX Design), Human-Machine Teaming, Human-AI Teaming, Human Computer Interaction, and/or Human Factors

• Experience conducting user research and understanding of various methods to perform such studies

•  Experience with Python, JavaScript, and React 

• Experience designing and prototyping software applications

• Visual design experience

• Exemplary communication skills (move higher) presenting to internal teams

• Self-starter and driven

Human Factors Engineer

At MORSE, we solve hard problems to field innovative technology to our customers in the US Department of Defense and the Intelligence Community. We are a company of smart people, who are easy to work with and passionate about making an impact for national security. Our work spans UAVs with precision delivery, novel AI capabilities, Test and Evaluation to make sure the AI solutions accomplish their intended missions, and advanced Decision Systems to arm the warfighter with data to make better, faster decisions to plan missions and have situational awareness into potential threats.

Job Summary

As a Human Factors Engineer, you will work with end users and stakeholders to assess the operational effectiveness and performance of Artificial Intelligence (AI) systems. As we perform Operational Test & Evaluation (OT&E), you will lead user engagement and knowledge elicitation studies to understand user requirements and define metrics to assess the effectiveness of Human-AI teaming in operational environments. You will use your knowledge of iterative design processes to regularly elicit feedback regarding the human-AI teaming experience to recommend best practices, including design mock-ups, for enhancing the user's operational effectiveness. You will also use your advanced data analysis skills to evaluate human-AI performance under different operational conditions to tailor AI technical solutions for specific operational scenarios and tempos.

Responsibilities 

• Perform Human-Machine Teaming Test and Evaluation (HMT T&E) of Artificial Intelligence

• Lead user engagement studies, knowledge elicitation sessions, human-in-the-loop assessments, and workflow analysis

• Identify appropriate human performance metrics to evaluate the system performance and effectiveness of Human-AI Teaming

• Perform quantitative and qualitative assessments of human performance with AI systems

• Develop UI mockups

• Liaison between data scientists, software developers, analysts and end users

• Perform descriptive and inferential statistics to characterize human performance

• Be familiar with a wide range of metrics to assess signal detection from a human performance as well as a machine-learning perspective

• Provide technical direction and leadership to small-mid sized teams

Skills and Requirements

• US CITIZENSHIP REQUIRED and ability to obtain a U.S. Security Clearance

• MS or PhD in Cognitive Psychology, Psychology, User Experience, Human Factors, Mathematics, Statistics, Engineering, or other related field

• 5+ years of professional experience 

• Experience with HMT, HMI, HSI, Human Factors, Human Performance, and Usability

• Experience engaging with end users and stakeholders

• Programming skills in Python

We are seeking a Machine Learning Engineer to join our team at MORSE.  You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer vision (CV) and other types of data. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms.  MORSE’s AI & ML work crosses modalities, and experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE’s current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments. 

Responsibilities: 

• Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.  

• Use MLOps tools for efficient experiment tracking, data management, and reproducibility 

• Write robust, efficient, and maintainable code 

• Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE 

• Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models 

Skills and Requirements: 

• US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance 

• Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field 

• Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models 

• Proven experience testing and validating the performance of AI technologies in real-world applications 

• Proficiency in Python  

• Experience with cloud platforms (AWS and Azure)  

• Experience with Docker 

• Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc. 

• Exceptional communication skills and the ability to work well with customers 

• Understanding of Department of Defense requirements and standards is a plus 

We are seeking a Machine Learning Engineer to join our team at MORSE.  You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer vision (CV) and other types of data. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms.  MORSE’s AI & ML work crosses modalities, and experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE’s current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments. 

Responsibilities: 

• Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.  

• Use MLOps tools for efficient experiment tracking, data management, and reproducibility 

• Write robust, efficient, and maintainable code 

• Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE 

• Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models 

Skills and Requirements: 

• US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance 

• Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field 

• Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models 

• Proven experience testing and validating the performance of AI technologies in real-world applications 

• Proficiency in Python  

• Experience with cloud platforms (AWS and Azure)  

• Experience with Docker 

• Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc. 

• Exceptional communication skills and the ability to work well with customers 

• Understanding of Department of Defense requirements and standards is a plus 

We are seeking a Machine Learning Engineer to join our team at MORSE.  You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer vision (CV) and other types of data. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms.  MORSE’s AI & ML work crosses modalities, and experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE’s current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments. 

Responsibilities: 

• Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.  

• Use MLOps tools for efficient experiment tracking, data management, and reproducibility 

• Write robust, efficient, and maintainable code 

• Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE 

• Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models 

Skills and Requirements: 

• US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance 

• Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field 

• Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models 

• Proven experience testing and validating the performance of AI technologies in real-world applications 

• Proficiency in Python  

• Experience with cloud platforms (AWS and Azure)  

• Experience with Docker 

• Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc. 

• Exceptional communication skills and the ability to work well with customers 

• Understanding of Department of Defense requirements and standards is a plus 

MORSE is seeking highly motivated and talented Python Software Engineers to join our innovative team, supporting various projects that provide critical AI, machine learning, simulation, situational awareness, and mission planning capabilities to a diverse range of Department of Defense (DoD) customers.

As a Python Software Engineer at MORSE, you will have the opportunity to work on cutting-edge technology, contributing to the success of our applications and making a meaningful impact on our customers. You will collaborate with a teams of engineers and data scientists to design, develop, and deliver high-quality software products that meet the highest standards of quality, scalability, and reliability.

Responsibilities:

• Design and develop scalable, efficient, and reliable software applications using Python 

• Participate in design reviews, code reviews, and pair programming to ensure high-quality code and knowledge sharing

• Stay up-to-date with the latest software engineering trends, tools, and technologies

• Collaborate with cross-functional teams to deliver high-quality software products, ensuring seamless integration and deployment

• Contribute to the development of new codebases that emphasize object-orientation, modularity, and maintainability

Requirements:

• US citizenship and the ability to obtain a U.S. security clearance (Secret, Top Secret, or TS/SCI)

• Expertise in Python 

• Strong understanding of relational databases and version control systems (e.g., Git)

• Experience with Docker, Docker-compose, or Kubernetes

• Familiarity with Agile development methodologies (Scrum or Kanban) and microservice architecture

• Strong communication skills and self-motivation

• Bachelor's or Master's degree in Computer Science or a related field (or significant professional experience)

• 5+ years of software development experience

Preferred Qualifications:

• Experience with cloud computing platforms (AWS, Azure, GCP)

• Knowledge of Spark or PySpark

• Background in mathematics or computer science

• Experience with DevOps tools and practices

• Familiarity with containerization technologies 

• Experience or desire to lead technical teams